AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas l...
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AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas l...
AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas l...
About Supabase
Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Functions, Realtime, and Vector Search. All services are deeply integrated and designed for growth.
About the Role
We are hiring a AI Platform Engineer to build the execution layer for Supabase's internal AI systems.
Supabase is building an AI-native internal operating system: a common way of working across the company where AI carries a meaningful share of the operational load rather than sitting alongside it as an assistant. We are standing up a new central team to build those systems, enable the teams, and embed AI operations throughout the organization. You are the engineer on that team.
The execution layer is yours. You will build the platform that actually runs agents: an event-triggered queue, a headless model-agnostic runtime, durable state so work survives a restart, a human review gate, atomic rollback, and full logging of every prompt, tool call and decision so any run can be reconstructed. You will build the evaluation layer that makes any of it trustworthy, because an agent that cannot be measured cannot be trusted with anything beyond reading. And you will build the agents themselves, across everything from executive reporting down to a layer of agents that watch the platform and improve it.
This is a governance-heavy environment by design, and that is the interesting part of the problem. Agents are risk-tiered from read-only internal data through to external-facing output, with review depth, evaluation requirements and human approval scaling by tier. Some capabilities are permanently off limits: an agent may read and report, it may carry a human-authored update into a system of record once a human consents, and it may initiate contact within a strict budget, but it may never autonomously write a commitment (an owner, a due date, a status) into a shared work system. Your job is to make that structurally impossible rather than merely forbidden.
You will be the only engineer on this platform. You will close open architecture decisions yourself, own the infrastructure end to end, and instrument the system so it reports its own return.
What You'll Be Responsible For
In this role, you'll:
Ship the agent platform to production. An event-triggered queue, a headless model-agnostic runtime (choosing the runtime is an open decision you will close), durable state that survives a failed run, a human review gate, atomic rollback, and complete run logging in the warehouse.
Own the evaluation layer, and switch on the gate that depends on it. Golden suites with behavioral assertions rather than intuition, judge criteria with a written rubric, safety cases that must pass on every run, and a CI gate that blocks a regression from merging. This is the precondition for every agent that does anything beyond read internal data.
Build and register the agent portfolio. Reporting, drafting, linting, triage and question-answering agents across the executive, team-lead and individual-contributor layers, plus a meta layer that observes the platform and improves it.
Enforce governance in code. Risk tiers the pipeline actually enforces, least-privilege credentials per agent, tool-permission gates, a decision audit log, and autonomy classes where the dangerous class has no code path rather than a warning label. Nothing runs without a registered owner, tier, tool grant and human gate.
Design how the system contacts people. A hard interruption budget per person, message bundling instead of a stream of pings, and a structure that gives something useful before it asks for anything. Adoption depends on this more than on any other single design choice.
Own the platform tooling. The compiler and validator, inventory integrity, and the paths that distribute context and capabilities into the repositories and chat surfaces where work happens.
Compute the operating measures from production data. A pipeline from raw system activity through to a computed maturity grade per team, defensible enough that a team can dispute the result and be answered with the query rather than an opinion.
Instrument the platform's own return. A ledger that logs the work each agent absorbs and computes the monthly figure, so the value of the system is a measurement rather than a claim.
How You'll Think
Recursive Thinking
You build the generator, not the artifact. When you need thirty agents, you do not write thirty agents; you build the inventory, the compiler and the distribution path that makes the thirty-first cost an afternoon, then a meta layer whose job is to watch the platform, find its drift and file the fix.
The evaluation layer is the same move applied to trust. You are not checking whether one agent is correct today. You are building the machine that decides whether every future agent is allowed to ship, which means the suite has to be right in a way the agent does not, and the thing that grades has to be graded too.
Inversion Thinking
You start from the failure and work backward to the design. The rule is that an agent may never autonomously write a commitment into a shared work system. The weak implementation is an instruction in a prompt. The strong one is that the credential in the agent's tool grant physically cannot set an owner, a due date or a status, so no amount of clever input, prompt injection or model error produces the forbidden write. You reach for the second one first.
Same for evaluation. Before writing a suite you enumerate how the agent can be wrong: an update that invents progress that did not happen, one that quotes a private channel into a public digest, one that is accurate and reads as an accusation, one that credits the wrong person. Then the suite is that list, each case caught before the agent ships rather than after it embarrasses someone.
AI-Native Execution
You use agentic tools on real work, in files and repositories, with the same rigor you apply to anything else you ship. You have a setup of your own and can describe it mechanically: what triggers it, what it is allowed to touch, where the human approves, what it logs, and how you found out the one time it went wrong.
That experience is this job, generalized. You are building for async engineers across 40+ countries who will judge the platform by whether it saves them an hour or costs them one, so you are your own first user and your own harshest reviewer.
You Might Be a Good Fit If You
Must Have
Have shipped production LLM agent systems that other people depended on. Not demos, not internal showcases. Systems with operational history, real users and at least one incident you can talk through. Prompt engineering on its own does not clear this bar.
Design evaluations, not spot checks. You build golden sets, write behavioral assertions, define judge rubrics, set pass thresholds and gate CI on the result. You can explain why "we reviewed a bunch of outputs and they looked good" is not evaluation.
Have done deep API work against the systems work actually lives in, and have authored MCP servers. You know the specific failure modes of those APIs, not just that they exist.
Own infrastructure end to end in Python on GCP, with a cloud warehouse and infrastructure as code. You provision, deploy, monitor and roll back your own systems, and you close architecture decisions rather than routing them onward.
Have taste about how software contacts humans. You treat every notification as spending a limited amount of trust.
Strong Signal
Public work in this space. An open-source agent framework, an MCP server, an evaluation harness, or writing on agent reliability that other practitioners cite.
LLM observability and cost instrumentation. Tracing agent runs, attributing spend per run, and building the queries that turn raw logs into a report someone acts on.
You have built an internal platform that non-engineers adopted voluntarily, and can describe what you changed after watching them use it.
What Success Looks Like
The platform is boring. Agents run on a schedule and on events, state survives restarts, failed runs roll back cleanly, and every run can be reconstructed from its log.
Nothing ships unevaluated. Every registered agent has a real suite with safety cases, the gate blocks regressions, and when someone challenges an output the answer is a test case rather than an argument.
The dangerous action is impossible, not discouraged. An audit of any agent's credentials shows it cannot perform the writes it is not allowed to perform, and the audit log makes every consequential decision traceable.
Teams pull the platform instead of being pushed. Agents get adopted because the reports are useful and the contact is rare and well-timed, and each team ends up with at least one workflow that runs automatically.
The platform reports its own value. The work absorbed is measured and published, so the case for expanding it is made with data rather than enthusiasm.
What We Offer
Fully Remote
We hire globally. We believe you can do your best work from anywhere. There are no Supabase offices, but we provide a WeWork membership or co-working allowance you can use anywhere in the world.
ESOP
Every team member receives ESOP (equity ownership) in the company. We want everyone to share in the upside of what we’re building together.
Tech Allowance
Use this budget to set up your ideal work environment—laptop, monitor, headphones, or whatever helps you do your best work.
Health Benefits
Supabase covers 100% of health insurance for employees and 80% for dependents, wherever you are. Your wellbeing and your family’s health are important to us.
Annual Off-Sites
Once a year, the entire company gathers in a new city for a week of connection, collaboration, and fun. It’s a highlight of our year.
Flexible Work
We operate asynchronously and trust you to manage your own time. You know what needs to be done and when.
Professional Development
Every team member receives an annual education allowance to spend on learning—courses, books, conferences, or anything that supports your growth.
About the Team
Supabase was born-remote and open-source-first. We believe our globally distributed team is our secret weapon in building tools developers love.
~400 team members
60+ countries
20+ languages spoken
Over $1B raised (including our $500M Series F)
540,000+ community members
We move fast, build in public, and use what we ship. If it’s in your project, we probably use it in ours too. We believe deeply in the open-source ecosystem and strive to support—not replace—existing tools and communities.
About Supabase Supabase is the Postgres development platform, built by developers for developers. We provide a complete backend solution including Database, Auth, Storage, Edge Fun...
About the Team
The Astral team builds high-performance developer tools to power the future of programming, at OpenAI and beyond, including Ruff, uv, and ty. The Astral toolchain sees hundreds of millions of installs per month and powers hundreds of millions of package downloads per day for the Python ecosystem. As a team, we are building on those foundations to continue solving impactful tooling problems as programming evolves.
About the Role
We are looking for an experienced software engineer to build next-generation programming language tooling. If you like writing high-performance Rust, it could be a good fit; if you like thinking about the future of programming, it could also be a good fit. Strong candidates tend to have deep experience with Rust, Python, open source, compilers, or developer tools — but few candidates are deep in all of these areas, and we've hired candidates without prior Rust or Python experience.
In this role, you will:
Design and implement features in Astral’s existing open source projects (Ruff, uv, ty, and python-build-standalone, and more).
Support Astral’s open source projects as a maintainer, triaging user issues, reviewing pull requests, and participating in community discussions.
Evolve the Astral toolchain to accelerate development velocity at OpenAI.
Build entirely new tools, in entirely different programming ecosystems, to power the future of agentic software development.
Your background might look something like:
5+ years of professional engineering experience, excluding internships, in relevant engineering roles.
High agency and comfort operating in a fast-moving environment, with strong ownership of security, reliability, and operational excellence.
Strong developer empathy and communication skills, including experience maintaining open source projects.
Exceptional systems engineering fundamentals and a track record of leading complex projects from ambiguous problem statements through to user impact.
Proficiency in one or more system programming languages (like Rust).
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team The Astral team builds high-performance developer tools to power the future of programming, at OpenAI and beyond, including Ruff, uv, and ty. The Astral toolchain se...
About the team
OpenAI’s Applied AI organization turns our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwide. Our teams build the product experiences and platform foundations behind ChatGPT, Codex, our API platform, and offerings for businesses, enterprises, educational institutions, and other customers.
Financial Engineering powers how customers purchase, access, and pay for these products. We build the systems behind pricing and packaging, checkout, payments, subscriptions, usage-based billing, credits, entitlements, invoicing, and the broader order-to-cash lifecycle. Our work spans consumer subscriptions, self-serve businesses, sophisticated enterprise agreements, developer usage, and emerging monetization models.
These systems sit at the intersection of product experience and financial infrastructure. They must make it easy for customers to adopt OpenAI products while maintaining strong guarantees around correctness, reliability, security, reconciliation, and auditability. We partner closely with Product, Data Science, Finance, Accounting, Risk, Operations, and Go-to-Market teams to launch new offerings and build a financial platform that can evolve with OpenAI’s rapidly growing product portfolio.
We are looking for an experienced engineer to help architect and build the next generation of these systems.
In this role, you will:
Have 5+ years of professional software engineering experience building and operating production backend, platform, or distributed systems.
Have strong fundamentals in API design, data modeling, storage systems, transactional workflows, and event-driven architecture.
Have experience building systems where correctness, reliability, observability, security, or data integrity are especially important.
Are comfortable owning ambiguous, business-critical problems from initial definition through launch and long-term operation.
Bring a product-oriented mindset and care about creating simple, trustworthy experiences for both external customers and internal users.
Communicate clearly with technical and non-technical partners and enjoy working closely with Product, Finance, Accounting, Operations, Data, and Go-to-Market teams.
Make thoughtful tradeoffs between near-term delivery and long-term system quality.
Move quickly and independently in an environment where requirements evolve, priorities compete, and the right solution is not always obvious.
Nice to Have:
Experience with payments, subscriptions, billing, pricing, credits, entitlements, invoicing, revenue systems, or other monetization infrastructure.
Experience with high-scale financial or transactional systems, reconciliation workflows, compliance requirements, or audit controls.
Experience building shared platforms, APIs, frameworks, or developer tools used by multiple product teams.
OpenAI US Applicant Privacy Policy
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form. No response will be provided to inquiries unrelated to job posting compliance.
We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
OpenAI Global Applicant Privacy Policy
At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the team OpenAI’s Applied AI organization turns our latest model capabilities into products used by hundreds of millions of consumers, developers, and organizations worldwi...
This is a remote role.
POSITION SUMMARY:
The Director, Data Engineering, is a critical and trusted leadership role, responsible for leading and forming the enterprise’ data platforms that support BAYADA’s mission and long-term goals. This role is responsible for formulating and implementing a comprehensive data strategy that aligns with the organization’s overall business objectives, enabling reliable, secure, and scalable data foundations for analytics, decision-making, and AI across the enterprise. The Director, Data Engineering, is responsible for ensuring data initiatives support and enhance the overall business strategy, fostering growth and competitive advantage.
MINIMUM QUALIFICATIONS:
- Exemplifies characteristics of The BAYADA Way: compassion, excellence and reliability.
- Four (4) year college degree in Computer Science, Information Systems, Engineering or related field. Advanced Degree preferred.
- Twenty (20) years of progressive experience leading and transforming data engineering and analytics teams in a growth-oriented environment.
- Five (5) years specifically focused on enterprise data platforms, Lakehouse and cloud-native data architectures, and large-scale data engineering programs (individuals who has managed and built teams of 30+ people).
- Demonstrated experience in implementing automation in engineering workflows. On the cutting edge of AI based engineering capabilities
- Demonstrated automations in multi cloud architecture environments
- Relevant certifications preferred, not required (e.g., Amazon Web Services (AWS), Databricks, Certified Data Management Professional (CDMP), Project Management Professional (PMP)).
- Demonstrated record of strong interpersonal skills and building relationships.
- Demonstrated record of goal achievement and exceeding performance standards.
- Demonstrated ability to lead people and get results through others.
- Proven ability to lead enterprise data engineering projects and teams and the development of data and analytics solutions.
- Expertise software development, IT infrastructure, data architecture, and emerging technologies.
- Exceptional organizational skills and problem-solving abilities.
- Demonstrated experience in cloud data platform migration and cloud-native data engineering, enterprise-scale integrations and ingestion development, and modernization of legacy data warehouse and BI platforms.
- Proven track record of working with multi-functional, cross-site teams in a remote, complex work environment.
- Experience managing budgets and vendor/contract relationships.
- Strong understanding of secure data engineering practices, agile development methodologies, and healthcare industry security and privacy regulations like HIPAA, HITECH, and NIST framework.
- Demonstrated experience in modernizing legacy data platforms, transitioning data warehouse and Business Intelligence (BI) systems to the cloud, and implementing enterprise-scale data integrations connecting distributed systems.
- Proven ability to manage high-pressure situations with professionalism and discretion.
- Strong relationship-building skills to promote collaboration and drive successful outcomes.
- Proven ability to build on open-source platforms (e.g., Databricks, AWS, Apache Spark, data build tool (DBT), Airflow, SQL/Python) and the ability to swiftly learn new tools.
- Solid written and verbal communication skills.
- Strong customer service skills.
- Excellent organizational skills and strong attention to detail.
- Understands and connects with the BAYADA culture.
PRIMARY RESPONSIBILITIES:
- Demonstrate and communicate the core values of BAYADA and The BAYADA Way.
- Champion BAYADA’s core values and The BAYADA Way, ensuring these principles guide every initiative and decision.
- Lead the strategy, development, and execution of the enterprise data platform — including ingestion, storage, transformation, governance, and observability — in alignment with organizational growth, digital transformation, and modernization priorities.
- Advance adoption of modern data engineering practices, including Lakehouse architectures, streaming and batch ingestion, DataOps, Continuous Integration/Continuous Deployment (CI/CD), and infrastructure as code to enable scalable, resilient solutions.
- Oversee the modernization of legacy data warehouse and BI environments (e.g., SQL Server, SQL Server Analysis Services (SSAS)), emphasizing the migration to cloud-first, Lakehouse-based platforms for improved performance and agility.
- Design, scale, and manage BAYADA’s data integration and pipeline framework with a focus on reliability, resilience, and sustainable growth.
- Operationalize and oversee robust data quality, observability, and lineage programs to ensure continuous improvement and high standards of delivery.
- Support the organization’s AI and analytics strategy by delivering the trustworthy, governed, and well-modeled data foundation required for insight-driven decision-making and exceptional user experiences.
- Collaborate with IT infrastructure, cybersecurity, enterprise architecture, application engineering, and analytics teams to build integrated, secure, and future-ready data platforms.
- Partner with product management and business stakeholders to ensure the on-time delivery of data roadmaps, balancing speed, quality, and long-term maintainability.
- Ensure compliance with all relevant healthcare industry regulations — including HIPAA, HITECH, and NIST — and maintain strong security and PHI-handling frameworks across the data lifecycle.
- Foster and sustain a culture of innovation, collaboration, teamwork, and continuous learning across the data engineering function.
- Serve as a strategic advisor to executive leadership on data investments, risk mitigation, and innovation opportunities, aligning initiatives with BAYADA’s mission and business priorities.
- Identify, evaluate, and guide the adoption of emerging data technologies that elevate BAYADA’s mission and advance care excellence.
- Streamline data engineering operations to enhance productivity and organizational effectiveness.
- Develop and implement comprehensive strategies to mitigate data and platform risks and ensure the security, compliance, and resilience of BAYADA’s data assets.
- Lead organizational change management related to data platform adoption, ensuring smooth transitions and widespread user acceptance.
- Build and maintain strong, trust-based relationships with leaders and stakeholders to ensure alignment and support for data initiatives.
- Establish, monitor, and report on service level agreements (SLAs) and key performance indicators (KPIs) to uphold the highest standards of data quality, reliability, and service delivery.
- Cultivate, lead, and develop a high-performing, inclusive, and collaborative data engineering team that embodies BAYADA’s values and strives for excellence.
- Oversee the creation, implementation, and enforcement of data engineering policies, standards, and governance frameworks to ensure regulatory compliance and industry-leading best practices.
- Allocate resources strategically, including budget and personnel, to maximize the impact and value of data investments.
- Demonstrate solid performance or exceed performance standards in key job dimensions/attributes as defined on the Performance Appraisal for Office Staff.
- Perform related duties and special projects as required or requested by supervisor, demonstrating flexibility and commitment to BAYADA’s evolving needs.
OTHER RESPONSIBILITIES:
- Complete special projects or other assignments as requested.
- Demonstrates professional work behaviors such as professionalism and confidentiality.
- Seek learning opportunities around programs that affect professional and/or personal growth.
BAYADA believes that our employees are our greatest asset:
- Base Salary: $195,000 - $220.000 / year depending on qualifications
- Bonus Opportunity
- BAYADA offers a comprehensive benefits plan that includes the following: Paid holidays, vacation and sick leave, vision, dental and medical health plans, employer paid life insurance, 401k with company match, direct deposit and employee assistance program
- To learn more about BAYADA Benefits, click here
As an accredited, regulated, certified, and licensed home health care provider, BAYADA complies with all state/local mandates.
BAYADA is celebrating 50 years of compassion, excellence, and reliability. Learn more about our 50th anniversary celebration and how you can join in here.
BAYADA Home Health Care, Inc., and its associated entities and joint venture partners, are Equal Opportunity Employers. All employment decisions are made on a non-discriminatory basis without regard to sex, race, color, age, disability, pregnancy or maternity, sexual orientation, gender identity, citizenship status, military status, or any other similarly protected status in accordance with federal, state and local laws. Hence, we strongly encourage applications from people with these identities or who are members of other marginalized communities.
This is a remote role. POSITION SUMMARY: The Director, Data Engineering, is a critical and trusted leadership role, responsible for leading and forming the enterprise’ data platf...
About IFS Copperleaf
IFS Copperleaf helps the world’s largest asset-intensive organizations — utilities, energy, water, transportation, and more — decide where to invest billions in capital to deliver the most value, using AI-powered decision analytics. Our customers defend and optimize the infrastructure that societies depend on.
The Role
As a Forward Deployed Engineer, you sit cross-functionally across the Sales, Product, R&D, and Implementation teams. For our most critical pursuits, you stand up our current product on the customer’s own data, fast, to prove value inside the deal. And when a customer needs something our product does not yet do, you use modern AI tools to rapidly prototype a near-production ready solution and put it in front of them. You turn “we can’t do that” into “here’s how,” and the strongest prototypes go on to shape our roadmap.
You own the technical outcome from discovery through production adoption. Your job is to win deals by delivering fast and with value in the current production environment, prototyping and articulating value from customer requirements, measuring and proving value across customer workflows, and continuously coordinating field-observed customer needs, ideas, roadmaps, and visions with the product and sales organizations. You are the shaper that understands customers’ needs, hypothesizes on value, co-creates the solution, and can test, measure, and validate the outcomes.
What You Will Do
- Work alongside Solutions Consultants and Account Executives with our most innovative and strategic accounts as well as our most important net new opportunities.
- Own discovery, technical scoping, architecture, implementation, evaluation, productionization, adoption, and handoff for strategic customer solutions. Deploy and prove value.
- Prototype aggressively; productionize deliberately.
- For sales and product management validation, build the smallest safe prototype that tests the hypothesis inside the deal’s timeline. For production use, engineer for security, reliability, observability, maintainability, and integration with the customer’s architecture.
- Build, deploy, and evaluate with customer data; measure adoption, workflow impact, reliability, and time-to-value; iterate with technical and business stakeholders.
- Partner closely with Product and R&D to turn validated customer patterns and production evidence into supported roadmap investments, reusable components, and platform improvements.
- Turn recurring needs into reusable accelerators so the whole team moves faster.
- Develop solution specifications with the customer to feed product and engineering organizational understanding, continuously updating the specification as the solution and outcomes evolve.
- Work with Product continuously as business value emerges and outcomes become known to evaluate business potential, broader market needs, competitive differentiation aspects, and functional/technical specifications.
How We Measure This Role
- Influenced ACV on deals where an FDE engaged.
- Time to first working prototype on the customer’s own data.
- Graduation rate: the share of prototypes that reach production.
- Patterns and accelerators shipped, and how often they get reused on later engagements.
- Recurring gaps taken to Product, and what Product decided.
What You Bring
Required
- Customer-facing and commercial ability. You can run a technical discovery session, hold a value conversation with both technical and business stakeholders, and connect what you build to the customer's outcome and the deal's value case. The ultimate value of this role is connecting technology to real business outcomes.
- Abstraction and reuse. You can generalize what you built for one customer into a reusable accelerator the team applies on the next engagement.
- AI and agentic engineering. LLM application development, RAG, prompt and context engineering, and agent orchestration, including the judgment for when to use single versus multi-agent patterns and how to handle memory and state. Modern AI coding tools such as Claude Code as daily practice, not novelty.
- Familiar with enterprise integrations in a regulated utility market. You’re familiar with key customer systems such as ESRI ArcGIS/Smallworld, IBM Maximo/EAM, SAP/Oracle ERP/PPM, and PowerBI/reporting systems. You have a technical and functional understanding of REST and streaming APIs, authentication patterns, and integrating with enterprise systems of record.
- Domain in asset-intensive industries (utilities, energy, transportation) or capital and asset investment planning. We hire for engineering strength and teach the domain, so this is a strong plus, not a gate.
- Travel. Willingness to travel to customer sites as needed, up to ~50%.
Preferred
- Software or data engineering background. You have built and shipped real working software at some point in your career, not just scripts, and you write code another engineer can pick up and maintain. Fluent in Angular, Python or a similar language, and comfortable working in unfamiliar languages and codebases. An understanding of SQL, data modeling, and building pipelines for ingestion, transformation, and serving. Strong debugging instincts against imperfect customer data in live environments.
- Depth in production engineering: observability, performance, and operating at scale.
- Prior exposure to customer-facing technical work, solutions engineering, forward deployment, technical consulting, or a startup where you wore several hats.
- Prior experience deploying AI in enterprise or regulated environments.
Who Thrives Here
- A deep listener, who obsesses on problem understanding and values outcomes.
- A creator who builds and prototypes fast, whether standing up existing capability or inventing what does not exist yet.
- AI-native and product-minded, with the judgment to know what is credible to demonstrate versus promise.
- Secure building alongside a deal team without needing to own the relationship.
- A communicator, who understands the cross-functional nature of the work and can hold their own at the lowest level investment planner to the boardroom executive.
- A story-teller who can take what they’ve created and craft the right messaging, understanding that what they've built changes behaviors, processes, and sometimes, mindsets.
What We’re Offering
- Salary Range: 117,000 to 168,000 GBP annually + bonus
- Flexible paid time off, including sick and holiday
- Medical, dental, & vision insurance
- Flexible spending accounts
- Life insurance and disability benefits
- Tuition assistance
- Community involvement and volunteering events
Additional Information
We embrace flexibility and hybrid work opportunities to support diverse needs and lifestyles, while also valuing inclusive workplace experiences. By fostering a sense of community, we drive innovation, strengthen connections, and nurture belonging. Our commitment ensures you can work in a way that suits you best, while also engaging with colleagues to share ideas and build meaningful relationships.
Use of Artificial Intelligence in Recruitment
As part of our recruitment process, we may use automated tools, including artificial intelligence, to help screen and assess applications based on job‑related criteria such as skills, experience, and qualifications.
These tools do not make hiring decisions. All employment decisions are reviewed and made by members of our hiring team.
This position is a new role.
About IFS Copperleaf IFS Copperleaf helps the world’s largest asset-intensive organizations — utilities, energy, water, transportation, and more — decide where to invest bill...
We are Cintra. Known for our award-winning software that delivers payroll solutions to over 1000 clients. If you're passionate about payroll and are eager to join a dynamic team of seasoned professionals, this is the opportunity for you.
As the proud recipient of the Payroll Service Provider of the Year 2025 award at the CIPP Annual Excellence Awards, we offer exciting opportunities for professional development, competitive bonus structures, and a collaborative work environment.
Our modern offices are located in Hoults Yard, nestled on the outskirts of the vibrant Ouseburn Valley. This area boasts a thriving creative community, rich local heritage, and a lively social scene.
We are looking for a senior, hands-on Platform / DevOps engineer to take technical ownership of the production infrastructure supporting our SaaS products.
Core Technical Skills
· Production operations: Strong incident-management skills, root-cause analysis, runbooks and P1 production support.
· Cloud cost optimisation and capacity management.
- Hybrid and flexible working arrangements supporting your work-life balance
- Employer matched pension contribution to 5%
- Wellbeing support through our company-funded health plan, health checks and employee assistance program
- Onsite parking
- And more!
Further details of the role can be found linked in the Job Description. Please note that we do not accept unsolicited CVs from agencies for this position, we thank you for your cooperation. We reserve the right to close this job advert at anytime should there be a high volume of applications.
Join our Development Team as a Platform Engineering Lead! We are Cintra. Known for our award-winning software that delivers payroll solutions to over 1000 clients. If you're passio...
About Ramp
Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized spend flows in and out of 70,000+ companies: authorizing payments, flagging risk, categorizing spend, and closing books.
The problems are high-stakes, data-dense, and unforgiving.
We hire people with high agency and high urgency. We look for slope over intercept. We care less about where you trained and more about what you’ve built. At Ramp, everyone is a builder who owns problems end to end and makes consequential decisions that shape the outcome.
The median Ramp customer saves 5% and grows revenue 16% in their first year – far in excess of businesses operating without Ramp. We believe every ambitious company deserves the same.
If you want to build systems that directly shape how companies move and manage billions, Ramp is the place to do it.
About Production Engineering
Production Engineering is Ramp's infrastructure ownership layer. We exist to make Ramp faster, more reliable, and more scalable — and we do that by being embedded in the problems, not adjacent to them.
A few things that define how we operate:
One team, one company, one objective. There is no "infra team" and "product team" — there is Ramp. We share the company's goals as our own. When a product team struggles with reliability or scalability, that is our struggle.
If reliability or scalability is at risk, we own it. We don't wait to be invited, and we don't ask whose code it is. If a system is slow, if it breaks, if it won't scale — that's ours to lead, regardless of where it lives in the stack.
We go first, and we go fast. When the path isn't obvious, we don't wait for someone else to find it. We move with urgency, propose the solution, align the stakeholders, and stay in until it's done — not until our ticket is closed.
We lead the way. We find the next problem before it finds us. And when we solve it, we don't just fix it for ourselves — the patterns and standards we establish become the foundation the rest of Ramp builds on. That's not a side effect of the job; it's the job.
We stay calibrated. Speed means nothing if we're moving in the wrong direction. We regularly stop and ask honestly whether what we're working on is still the highest-leverage thing we could be doing — the discipline that makes sure our effort compounds toward what actually matters.
You cannot build the future of finance on shaky infrastructure.
Our Teams
Production Engineering is organized into teams — but we think about teams differently. Teams are mutable. We build them around what needs to be done, not around what we need to do given the teams we already have. The structure below reflects our current priorities; it will evolve as Ramp does.
Right now, we operate across four areas:
Compute — the foundation everything runs on: container orchestration, networking, load balancing, edge infrastructure, and the deployment systems that get code from engineers' laptops to production reliably and at scale
Storage — databases, caching, object storage, and the data infrastructure that underpins everything
Workflows & Messaging — the systems that power Ramp's financial workflows and event-driven architecture
Internal Infrastructure — the platform that makes every builder at Ramp faster and more autonomous: observability, cost attribution, and CI/CD systems that give teams visibility into what they build and what it costs
What You'll Do
Production Engineers at Ramp are full software engineers who happen to specialize in infrastructure. You write production code, you own systems end-to-end, and you drive technical outcomes across the organization — not just within your team.
Day to day, you will:
Build and operate critical infrastructure across Ramp's compute, storage, messaging, and observability stack — owning the systems that handle real financial transactions at scale.
Drive architectural change — not just flag problems. When you surface a reliability or scalability issue, you own the path forward: you propose the solution, find the owners across engineering, and stay in until it's resolved.
Partner with product teams at the design phase — reviewing architectures, embedding golden paths, and making it easy to build correctly the first time.
Build Ramp's next level of scale — you'll be a hands-on contributor to the most consequential infrastructure shift happening right now: our move to a cellular architecture, enabling Ramp to scale, reach international markets, operate in highly regulated and constrained environments (e.g. FedRAMP), and deliver on enterprise-grade SLAs.
Enable AI-native engineering — as Ramp builds increasingly AI-powered products, PE is the team that makes sure the platform can support them. You'll proactively partner with product teams on AI infrastructure patterns, define the golden paths that turn one-off solutions into reusable foundations, and stay ahead of emerging challenges before they become blockers.
Build developer tooling and self-service infrastructure — so that other teams can answer their own questions (cost, performance, reliability) without involving PE.
Participate in on-call rotation — and more importantly, use every incident as a signal to eliminate the root cause, not just resolve the symptom.
Lead across the company — PE doesn't just review designs or show up when called. We proactively initiate cross-team architectural reviews, and we take full ownership of company-wide reliability and scalability initiatives: identifying the problem, proposing the solution, aligning the stakeholders, and staying in until it's done.
What We Look For
We don't hire for a checklist. We hire for the instincts that make someone exceptional on this team.
The mindset we're looking for:
You can't walk past something broken without wanting to fix it — and you don't stop at the workaround. You find the root cause and eliminate the class of problem.
You think in systems, not tasks. You understand that "fixing the bug" is step one; making it so the bug can't happen again is the job.
You move with urgency but without chaos. You know when to go fast and when to slow down and do it right.
You treat product teams as your users. You build for them, communicate with them proactively, and measure success by how much faster they can ship. But you're also an owner — when something is broken or blocking, you don't wait to be asked. We win when our customers win.
You leave things better than you found them. Every system you touch, every process you encounter — you move it forward. Not always dramatically, but always directionally. You picked it up in a certain state; you leave it in a better one.
You are equally comfortable reading a database query plan, reviewing a system design doc, writing a Terraform module, and jumping into an incident at 2am.
Experience profile:
3+ years of software engineering management shipping high-quality architectures for critical systems
Strong software engineering fundamentals — you write clean, well-tested, production-ready code
Hands-on experience with distributed systems at production scale
Experience with at least one major cloud provider (AWS preferred)
Familiarity with observability practices (SLOs, error budgets, alerting, dashboards)
Track record of leading technical projects end-to-end, including cross-team coordination
Comfortable using AI tooling and coding agents as part of your everyday engineering workflow — we expect our engineers to leverage these tools to move faster and think bigger
Bonus (not required):
Experience with cellular or multi-tenant architecture patterns
Prior work on workflow orchestration systems (Temporal)
Contributions to developer experience or internal platform tooling
Experience in fintech, payments, or regulated industries (FedRAMP, SOC 2)
Benefits available to all full-time Ramp employees (Global)
Flexible PTO
Centralized home-office equipment ordering
Health and wellness stipend
Budget for intra-office travel
Weekly coffee stipend
United States
100% medical, dental & vision insurance coverage for you, with partial coverage for dependents
One Medical annual membership
401(k), including employer match on contributions made while employed by Ramp
Fertility HRA (up to $10,000 per year)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay
Pet insurance
In-office perks: lunch, snacks, drinks, and more
Relocation expense coverage to NYC or SF (if needed)
Canada
Group medical, dental, and vision coverage through Sun Life
Life, AD&D, and disability coverage
Fertility drug coverage (up to $4,000 lifetime)
Group Retirement Plan with employer match (RRSP + DPSP)
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay, with additional time available at reduced pay
Employee Assistance Program and virtual care through Lumino Health
United Kingdom
Private medical insurance through Freedom Elite
Virtual GP and at-home care via eMed x Livi
Workplace pension through Penfold, with salary sacrifice option
Parental leave: up to 16 weeks (birthing + bonding) or 8 weeks (bonding only) at 100% pay with additional time available at reduced pay
Referral Instructions
If you are being referred for the role, please contact that person to apply on your behalf.
Other notices
Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
Beware of recruiting scams: Ramp will only contact you through official @Ramp.com email addresses and will never ask for payment or sensitive personal information during the hiring process.
About Ramp Ramp is building the smart infrastructure for finance teams, embedded in the transaction flow of every dollar a business spends. We automate how over $200B in annualized...
The role:
We are looking for highly talented and driven software engineers who take pride in their work, to expand our Engineering team in London. Successful candidates will join a cross functional team including product managers and designers working closely with the rest of our business to deliver working code that solves real problems for both internal and external customers. You will take ownership of the problems that your team solves, ensuring a high level of quality in everything that we release, working as part of a top performing international development team. If you have a strong passion for solving problems with code, and want to work with exceptional colleagues in a high achievement environment, this role is a good fit for you.
What you’ll do:
- Design solutions: Define the best technical solutions to business problems, contributing to an architectural vision that will scale up to be the world's leading research platform.
- Ship working code: We primarily work with React on the frontend and Kotlin microservices with Postgres on the backend, with some older services written in Ruby on Rails. We’ve always got an eye open to assess new technologies that might improve our stack.
- Deploy and iterate: We release frequently to our customers, using CIrcleCI and Spinnaker for CI/CD, and quickly gather feedback in order to inform our next iteration.
- Build your competency: You will learn quickly by building market-leading technology with experienced colleagues in a high performance environment. Engineers can also use our L&D budget to fast-track development of specific technical competencies.
- Maintenance and troubleshooting: Carefully monitor our services, catching errors before users notice them, diagnosing the root cause and deploying fixes.
Who you are:
- You probably have a degree in a STEM subject, but we’re happy to work with people who perfected their craft via a different route.
- Experience working at a similar level in a mature Engineering team, and looking to take your career to the next level. We’re looking for people who have incredible potential.
- Technical expertise with at least one programming language (we use Kotlin and a bit of Ruby), and ideally experience with relational databases.
- Proven track record – You’ve made a demonstrable impact in your previous roles, standing out from your peers.
- Highly driven and proactive – you relentlessly and independently push through hurdles and drive towards excellent outcomes.
- Meticulous – you hold high standards and have an obsessive attention to detail.
Learn more about our tech organization here!
Don't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you.
Please note that unfortunately, we are unable to sponsor visas for this position. AlphaSights is an equal opportunity employer.
*THIS IS A REMOTE POSITION EXCLUSIVELY FOR CURRENT UK RESIDENTS.
The role: We are looking for highly talented and driven software engineers who take pride in their work, to expand our Engineering team in London. Successful candidates will join a...
The role:
We are looking for highly talented and driven software engineers who take pride in their work, to expand our Engineering team in London. Successful candidates will join a cross functional team including product managers and designers working closely with the rest of our business to deliver working code that solves real problems for both internal and external customers. You will take ownership of the services managed by your team, ensuring that their development aligns with the higher level AlphaSights Engineering strategy, while mentoring more junior Engineers. If you have a strong passion for solving problems with code, and want to work with exceptional colleagues in a high achievement environment, this role is a good fit for you.
What you’ll do:
- Design solutions: Define the best technical solutions to business problems, contributing to an architectural vision that will scale up to be the world's leading research platform.
- Ship working code: We primarily work with React on the frontend and Kotlin microservices with Postgres on the backend, with some older services written in Ruby on Rails. We’ve always got an eye open to assess new technologies that might improve our stack.
- Deploy and iterate: We release frequently to our customers, using CIrcleCI and Spinnaker for CI/CD, and quickly gather feedback in order to inform our next iteration.
- Build your competency: You will learn quickly by building market-leading technology with experienced colleagues in a high performance environment. Engineers can also use our L&D budget to fast-track development of specific technical competencies.
- Maintenance and troubleshooting: Carefully monitor our services, catching errors before users notice them, diagnosing the root cause and deploying fixes.
Who you are:
- You probably have a degree in a STEM subject, but we’re happy to work with people who perfected their craft via a different route.
- Experience working at a similar level in a mature Engineering team for 5+ years, and looking to take your career to the next level. We’re looking for people who have incredible potential.
- Technical expertise with at least one programming language (we use Kotlin and a bit of Ruby), and ideally experience with relational databases.
- Proven track record – You’ve made a demonstrable impact in your previous roles, standing out from your peers.
- Highly driven and proactive – you relentlessly and independently push through hurdles and drive towards excellent outcomes.
- Meticulous – you hold high standards and have an obsessive attention to detail.
Learn more about our tech organization here!
Don't worry if your experience or background doesn't match all of these areas, we believe a broad spectrum of experience provides great perspective on solving problems in new and innovative ways and we’d love to hear from you.
Please note that unfortunately, we are unable to sponsor visas for this position. AlphaSights is an equal opportunity employer.
*THIS IS A REMOTE POSITION EXCLUSIVELY FOR CURRENT UK RESIDENTS.
The role: We are looking for highly talented and driven software engineers who take pride in their work, to expand our Engineering team in London. Successful candidates will join a...
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster.
The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software.
*Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab.
An overview of this role
As a Senior Backend Engineer in GitLab’s Platform Enablement organization, you will help make GitLab easier to deploy, validate, and operate across environments. This team is centered on two major areas: Cloud Native deployment guidance and ephemeral environments.
You’ll help shape GitLab’s next generation of self-managed deployment guidance as Reference Architectures evolve toward a model based on deployment patterns, workload characterization, component requirements, topology guidance, and scaling principles.
You’ll also help improve production-like ephemeral environments so teams can validate changes earlier, test against infrastructure and deployment conditions that more closely reflect real-world operation, and reduce drift between development, CI, and production. This includes shaping the tooling, workflows, and platform contracts that make these environments more consistent, more repeatable, and more useful to engineers building and shipping across GitLab’s different deployment models.
Current projects
Deployment Environments is currently focused on:
- Evolving GitLab’s self-managed deployment guidance beyond legacy Reference Architectures into a clear Cloud Native model.
- Improving production-like ephemeral environments for earlier, higher-confidence validation.
- Supporting a platform model where services declare requirements, operators satisfy them, and shared artifacts work across GitLab.com, Dedicated, and Self-Managed.
What you’ll do
In this role, you’ll:
- Build tooling and workflows for cloud-native and self-managed deployment environments.
- Contribute to Cloud Native deployment guidance, including component requirements, architecture patterns, topology guidance, and scaling principles.
- Improve ephemeral environments that bring validation closer to production reality.
- Work across application, infrastructure, and platform boundaries to keep deployment artifacts and environment contracts consistent from development through production.
- Partner with related teams on packaging, testing, delivery workflows, and customer-facing deployment guidance.
What you’ll bring
- Strong backend engineering experience, ideally with Kubernetes-based systems, distributed applications, or platform engineering
- Experience with deployment architecture, environment management, or cloud-native operations
- Comfort working at the boundary of developer workflows and production infrastructure
- Good systems thinking around service dependencies, deployment patterns, and infrastructure abstraction.
- A collaborative, pragmatic approach to building durable platform capabilities
About the team
The Deployment Environments team helps make GitLab easier to deploy and easier to validate across development, CI, GitLab.com, Dedicated, and Self-Managed. Its work spans Cloud Native deployment guidance, ephemeral environments, and the platform contracts that reduce drift across the software lifecycle.
How GitLab Supports Full-Time Employees
- Benefits to support your health, finances, and well-being
- Flexible Paid Time Off
- Team Member Resource Groups
- Equity Compensation & Employee Stock Purchase Plan
- Growth and Development Fund
- Parental Leave
Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.
Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.
Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.
GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.
GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and...
Kiss My Apps — компанія-платформа, що об’єднує 7 продуктових вертикалей та 30+ AI-first продуктів, 100+ мільйонів користувачів, власну екосистему аналітичних, пеймент та маркетингових розробок.
Продукти KMA це світові лідери в нішах utilities, lifestyle, health&fitness — AI Remodel, Printer, Botan, Calorie Counter і не тільки. Це продукти, що займають топ-1 місця App Store й вирішують потреби комʼюніті з сотень мільйонів людей.
Наш темп — це наш competitive advantage. KMA зростає мінімум х3 рік до року — і ми шукаємоі ми шукаємо Senior Martech Engineer того/ту, хто допоможе масштабуватись ще швидше.
Коротко про роль:
Ти очолиш новий напрямок автоматизації маркетинг-продакшену та станеш першим розробником внутрішньої платформи, яка об’єднає точкові автоматизації в єдиний масштабований продукт. Це роль із високим рівнем ownership: від дослідження технологій та проєктування архітектури до запуску MVP, перевірки на реальних задачах і подальшого масштабування рішення на 3+ маркетингові напрямки. Ти зможеш не просто реалізовувати задачі, а визначати логіку, технічне бачення та розвиток продукту, яким команда користуватиметься щодня.
Твої задачі:
Проєктувати та будувати з нуля внутрішню платформу автоматизації маркетингового й креативного продакшену: від архітектури до робочих пайплайнів.
Автоматизовувати рутинні процеси маркетинг-команд і знаходити точки, де технології можуть суттєво скоротити час виробництва креативів.
Досліджувати, тестувати та впроваджувати нові AI-рішення й інструменти, які можуть підвищити ефективність команд.
Створювати MVP-інтеграції та перетворювати перевірені рішення на стабільні й масштабовані інструменти.
Формувати єдину архітектуру автоматизацій замість набору окремих точкових рішень.
Вимірювати ефективність платформи через adoption, швидкість продакшену, якість результатів та рівень автоматизації процесів.
Документувати рішення та процеси так, щоб платформу могли підтримувати й розвивати інші спеціалісти.
Що очікуємо від тебе:
Досвід розробки та запуску технічних продуктів, платформ або комплексних automation-рішень з нуля.
Вміння самостійно проєктувати архітектуру рішення та приймати технічні рішення без постійного мікроменеджменту.
Практичний досвід інтеграції різних сервісів, API та інструментів у єдині робочі пайплайни.
Інтерес і практичний досвід роботи з AI-інструментами та готовність постійно досліджувати нові технології.
Продуктове мислення: здатність працювати не лише з технічною реалізацією, а й із проблемою користувача, adoption та результатом для бізнесу.
Вміння розуміти та структурувати запити маркетинг-команд і перетворювати їх на технічні рішення.
Самоорганізація, адаптивність до змін
Критичне мислення, здатність аргументувати рішення, працювати з фідбеком та брати відповідальність за результат.
Тобі до нас, якщо шукаєш:
Можливість з нуля побудувати окремий automation-напрямок і визначати його технічне бачення.
Роль із високим рівнем ownership, де ти самостійно прийматимеш архітектурні та продуктові рішення.
Можливість створити платформу, яка напряму впливатиме на швидкість і масштаб маркетингового продакшену кількох юнітів.
Простір для постійного тестування AI-технологій та швидкого впровадження найсильніших рішень у реальні бізнес-процеси.
Видимий результат роботи: вже за перші місяці твій продукт тестуватимуть на реальних задачах, а надалі використовуватимуть команди щодня.
Ми пропонуємо:
Формат роботи на твій вибір: fully remote з будь-якої точки вільного світу, а також доступ до одного з наших офісів за бажанням (Київ, Варшава).
Умови, завдяки яким ти можеш сфокусуватись на перформансі: гідна винагорода, що відповідає твоїм скілам та досвіду. А також ми забезпечуємо технікою незалежно від формату роботи та географії.
Кар’єрне зростання через дію: 80%+ усіх leads в Kiss My Apps ще 2-3 роки тому були світчерами. Твій вплив тут не визначається роками в резюме — він визначається тим, як швидко ти навчаєшся, береш відповідальність та береш оунершіп за власну карʼєру.
Командні активності: Для підтримки ментального здоров’я нашої команди ми пропонуємо онлайн-заняття йогою двічі на тиждень.
Розвиток та професійна реалізація: проводимо внутрішні speaking clubs англійською з нейтів спікером, а також надаємо можливість виступати на внутрішніх та зовнішніх івентах від Kiss My Apps. Крім цього ти матимеш річний бюджет на покриття до 50% професійних конференцій, освітніх подій та івентів.
Додаткові бенефіти, де ти обираєш: надаємо фіксований бюджет на рік з якого ти сам обираєш, яку статтю витрат покрити: 50% від медстрахування, психотерапії, спорту чи стоматології. А також 40 днів оплачуваного відпочинку та лікарняних без привʼязки до дат.
Опора в умовах війни: забезпечуємо кожного всім необхідним для безперебійної роботи, системно підтримуємо Сили Оборони та долучаємось до ініціатив із відновлення України.
Як виглядає hiring процес:
Інтро з рекрутером
Технічна співбесіда
Фінальна співбесіда з командою
Якщо ти хочеш не просто автоматизувати окремі задачі, а з нуля створити платформу, яка змінить підхід до маркетинг-продакшену в масштабі кількох продуктових напрямків — let’s launch the future together!
Kiss My Apps — компанія-платформа, що об’єднує 7 продуктових вертикалей та 30+ AI-first продуктів, 100+ мільйон...
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze their time-stamped data in real-time to discover, interpret, and share new insights to gain a competitive edge. InfluxData is a remote-first company with a globally distributed workforce. For more information, visit .
You'll be using your Linux ops and teamwork skills to maintain and extend foundational technologies to provide highly available, distributed services to customers who rely on InfluxData's time series platform where metrics and events are first-class citizens.
You'll join an awesome team, bringing experience in designing, implementing, and operating large scale, multi-cloud Kubernetes infrastructure driven by GitOps methodology. You understand that great products require great culture - you design and implement with respect and kindness across multiple engineering teams.
We embrace an empathetic, supportive, and communicative environment pulling from one another's strengths and perseverance through failure and the resulting lessons learned.
What you'd bring to the table
Production-level experience with Kubernetes and surrounding ecosystems (e.g., Istio, Vault, and other Cloud Native technologies) in production environments.
Terraform and other automation tooling to make life more predictable: you’ve taken manual processes and automated them, or taken automated processes and refined them.
Hands-on experience with production workloads within managed and self-managed Kubernetes platforms as well as more general DevOps patterns (e.g., compute, storage, database, network) inside one or more of the cloud providers we use: AWS, Google, Azure.
Being a vocal participant of the team, focused on iterative excellence.
Willingness to participate in a low-volume pager rotation and serve as a subject matter expert on many areas of Kubernetes and general infrastructure and operational principles.
Methodical troubleshooting: You’re able to work through complex issues both individually and as part of a team.
Bonus if you've had experience
Working in a role maintaining and operating a SAAS environment
Being an incident commander, engaging multiple groups simultaneously to resolve critical problems.
CI/CD experience. We use CircleCI and GitHub Actions, but understanding methodology is more important than using the same vendors.
Automating All the Things with great success (or, if not, how you learned from the experience).
Thriving in a remote-first, distributed team environment.
Working with, or on, applications written using Go and/or Rust
Applications will be accepted on a rolling basis.
Interview Information:
Our interview process begins remotely. Interviews are typically conducted via Zoom. To ensure every candidate can participate, please let us know if you are unable to access Zoom. Some roles may require an in-person meeting with a team member as part of the final stage.
Our Core Values
Our employees are the heart of the company and only by having a core set of beliefs and values will we be successful. We hire and live by these core values:
We value each other
We get stuff done
We believe humility drives learning
We embrace failure
We are committed to open source
Visit our careers page to learn more about working at InfluxData.
InfluxData is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, protected veteran status or any other categories protected by applicable law.
To view our Know Your Rights Poster click HERE
To view our CCPA policies click HERE
If you are a qualified individual with a disability or a disabled veteran, you may request a reasonable accommodation if you are unable or limited in your ability to use or access this website to apply for a vacancy as a result of your disability. You can request reasonable accommodations by reaching out to the recruiting team by emailing [email protected].
InfluxData does not accept unsolicited resumes from headhunters and recruitment agencies through our website, job board or directly to employees. InfluxData will not pay fees to any third-party agency, headhunter or company that does not have a signed agreement for this position in place.
Beware of job scams and fraudulent offers! Our recruiters use @ email addresses exclusively. We do not conduct interviews via text or instant message and we do not ask candidates to download software other than Zoom, to purchase equipment through us, or to provide sensitive personally identifiable information such as bank accounts or social security numbers. If you have been contacted by someone claiming to be from InfluxData from a different domain about a job offer, please report it as potential job fraud to law enforcement and to [email protected].
InfluxData is the creator of InfluxDB, the leading time series platform used to collect, store, and analyze all time series data at any scale. Developers can query and analyze thei...
About Griffin
Hi, we’re Griffin. We’re a fully regulated UK bank that powers the accounts and payments offerings of product-led fintechs and platforms like Uber, Yonder, Prosper, and Sidekick. By doing the heavy lifting behind the scenes, our customers can focus on what they do best - delivering amazing customer experiences.
We’ve grown rapidly since our launch in 2024, and today provide the banking backbone behind products in remittance, payroll, wealth, insurance, proptech, payments, neobanking and more.
We’re moving into card issuing, stablecoin infrastructure, and agentic finance next as we continue to support the next generation of product-led companies.
Learn more about what we do
Our culture
We believe that smart, motivated, conscientious people thrive in high-trust, high-autonomy environments and have done our best to create such an environment at Griffin. People who thrive here don’t require much hand-holding, and go out of their way to figure out how to contribute in the most valuable way possible.
We've been remote-first since we were established in 2017 and we remain so today. Work here is asynchronous and fully flexible - because we want to be a part of your life in a way that helps you to get the most out of both your work and home life.
We understand that our culture and ways of working aren’t for everyone, and we’re very intentional about our hiring process as a result. We won't hire people who don’t seem like a strong fit for our core values, even if they're otherwise extremely qualified.
Our strong culture has helped us to remain a mission-driven company as we have scaled, and gives our people a clear, explicit operating framework and the space to focus on delivering real value for our customers.
Learn more about our culture.
The team
The Craft function has seven small, cross-functional engineering teams - each with engineers, an engineering manager, and a product manager, working closely with designers. You'll join one team that owns a product area end-to-end.
When we start work, we explore multiple solutions before picking one. You'll write RFCs, build proof-of-concepts, and run experiments to validate approaches. Once we commit to building something, we care about maintainability more than cleverness, observability more than hoping it works, and scalability more than premature optimisation. We ship quality code over hitting arbitrary deadlines. Once something goes live, we refactor the rough edges rather than polish what's already working
The opportunity
Right now, we're building card issuing from scratch, going direct on Faster Payments, enabling cross-border payments, and building term deposit accounts. Day to day, this means: writing the reconciliation systems that process millions of FPS transactions, implementing double-entry accounting that tracks card spending and settlements, designing webhook infrastructure with message signing and replay protection, building API versioning that lets us evolve without breaking customers, or creating payment approval workflows that satisfy both user experience and compliance requirements.
What success looks like
Success here is about impact beyond your own code: improving how we work, making other engineers more productive, and building systems that our customers (other developers) actually want to use. This looks like:
redesigning the transaction reconciliation service to handle 10x throughput before we hit FPS volume limits
fixing the root cause of webhook delivery failures so we stop getting paged at 3am
building a Bazel rule that cuts build times in half for the whole team
writing an RFC that becomes the pattern we use for all event-driven services
pairing with another engineer to help them reason through FoundationDB transaction semantics
owning card issuing from initial RFC through to processing the first live transaction - making every architecture and implementation decision along the way.
What you'll own
The technical decisions on your projects - you'll write the RFCs, choose the architecture, and decide when to extend existing systems versus rebuild them
Delivery from customer problem to live feature - you'll work with PMs to shape what gets built, then own getting it into production
Setting technical direction - your code reviews, implementation patterns, and architectural choices influence how the wider team builds software
Production responsibility - the systems you build are yours to monitor, debug, and improve when issues arise
Your background
You'll fit well here if you come from one of these backgrounds:
Functional programming - you've shipped production Clojure, Elixir, Erlang, Haskell, Scala, or Scheme in a professional setting, or you've built substantial personal projects that demonstrate deep functional programming experience
Fintech domain expertise - you've worked in payments, accounts, ledgers, or compliance where you've dealt with money movement, reconciliation, and regulatory requirements
Beyond that, you'll need:
Strong software fundamentals and distributed systems knowledge - you understand consistency models, idempotency, and the failure modes that actually matter in production
Experience working in product-focused, collaborative teams - you've shaped what gets built alongside PMs and designers, not just implemented specs
Comfort with startup pace and ambiguity - priorities shift, requirements evolve, and you adapt without needing perfect clarity upfront
What can we offer you?
We are an early stage startup and we're working hard to expand our benefits package. We're planning to add to this list in the future.
Remote-first flexibility: Work from anywhere in the UK
Time off: 25 days’ holiday, bank holidays and a winter break (we shut down between Christmas and New Year)
Share options: Own a part of what we’re building together
Work from abroad: Up to 20 days a year
Pension: Auto-enrolment into our Penfold scheme
Insurance: Private medical with Bupa (including family cover) and life insurance with AIG
Wellbeing: 1:1 coaching and therapy session available through Oliva
Family leave: Enhanced parental leave with up to 6 months on full pay after two years’ service
AI tools: Everyone has a Claude subscription on us and access to other premium tools
Your setup: We’ll support you in creating a comfortable and effective WFH environment.
As a bank, we’re committed to maintaining the highest standards of security. This means that the successful candidate will need to complete background screening, and our offer will be conditional upon satisfactory review of these checks. This would include verification of right to work, criminal record, credit history, social media and professional reference checks.
How long will the process take?
We move as fast as possible, but it normally takes us about 2-3 weeks to get to know to each other.
Step 1: An initial phone call with our Talent Team for us to tell you more about Griffin and learn about your recent experience.
Step 2: A task based on what you’ll be doing on a day to day at Griffin.
Step 3: Meet your manager to talk through your experience and how that relates to the requirements.
Step 4: Meet with peers in your team for a more in-depth technical interview.
Step 5: Culture and Founder interview: Learn more about this here.
How do I apply?
Are we your next move? Apply via the link below, if there's a match our Talent team will reach out to schedule an initial conversation and talk you through what happens next.
We’re remote-first
We trust people to do great work wherever they are. We hire across the UK and most of our team works remotely full-time. We have a small London office in Moorgate for those who want it, and about a third of the company is close enough to use it occasionally, but there's no expectation to be there. What matters is the work, not where you do it.
Under representation
At Griffin, we’re looking for people who instinctively vibe with our values, behaviours and mission. You’re encouraged to apply, even if your experience doesn’t tick every box. Careers, like life, can take many twists and turns. Your technical expertise and path to where you are today will stand out. We're committed to creating a place where everyone belongs and we welcome diverse perspectives, backgrounds and people who are ready to build a global platform for programmable finance
Griffin Bank Ltd request that recruitment agencies do not speculatively submit CVs to any employee or associate of our company unless explicitly asked to do so by a member of our Talent team.
Any CVs sent to any member of our team on a speculative basis will not be recognised and we will not accept liability for any fee or commission should we subsequently employ a candidate who applied to us directly or was introduced by an instructed agency that may also have been submitted speculatively by an uninstructed agency.
About Griffin Hi, we’re Griffin. We’re a fully regulated UK bank that powers the accounts and payments offerings of product-led fintechs and platforms like Uber, Yonder, Prospe...
What Makes Cloudbeds Unique
At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024, but we're just getting started.
Location - Remote (Europe)
How You'll Make an Impact:
As a Staff Machine Learning Engineer, you will play a key role in building and implementing features that empower lodging customers to make data-driven pricing decisions. Some of these features will use simple heuristic data, while others will leverage advanced machine learning techniques to optimize revenue strategies.
You’ll work closely with product and engineering teams to identify opportunities for improvement, develop innovative solutions, and drive revenue growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You’ll be instrumental in establishing robust ML practices and rigorous testing processes across the entire ML lifecycle. From structuring data pipelines to implementing and validating ML models, you’ll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success.
Our Machine Learning Team:
Our machine learning team is energized by the unique challenge of revolutionizing guest experiences through AI-driven insights, transforming traditional hospitality with cutting-edge predictive algorithms.
We thrive on collaborative innovation, where data scientists, engineers, and product experts seamlessly blend their expertise to prototype bold ideas and directly impact operational efficiency.
People who are passionate about continuous learning, unafraid to challenge conventions, and excited by the intersection of hospitality and deep technical prowess will find their home among our forward-thinking team.
What You Bring to the Team:
- Architectural Expertise: Proven track record in designing, deploying, and maintaining production-grade, distributed ML systems (Sagemaker)
- Deep MLOps Proficiency: Expert-level knowledge of CI/CD, orchestration (e.g., Apache Airflow, Flink), and model monitoring/drift detection at scale.
- Software Engineering Rigor: Strong background in Python, distributed systems, and backend development, with a firm grasp of software engineering best practices.
- Technical Strategy: Experience defining SLIs/SLOs and managing large-scale technical roadmaps.
- Leadership: Demonstrated ability to influence cross-functional teams, mentor junior talent, and drive consensus on complex technical decisions.
- Domain Knowledge: Ability to apply statistical and ML methods to optimize revenue management and pricing strategies.
What Sets You Up for Success:
- 5+ years of experience in a machine learning role, with demonstrated success in ML Engineering and deploying models to production.
- Proven expertise in designing and implementing ML testing strategies (e.g., data validation, model correctness, performance testing).
- Great understanding of machine learning principles (experimental design, statistical distributions and test, machine learning algorithms)
- Expertise in deploying ML models at scale on AWS, with experience using MLFlow, Sagemaker or similar platforms.
- Strong Python programming skills and adherence to software engineering best practices (e.g., clean code, version control, code reviews, using Docker, Terform, Kubernetes).
- Expert-level SQL skills and experience working with large datasets for analysis and modeling.
- Strong problem-solving skills with the ability to apply creative, data-driven solutions to complex business challenges.
- Excellent communication and collaboration skills, with experience working cross-functionally with product and engineering teams.
- Bachelor's degree in Computer Science, Statistics, Mathematics, Data Science, or a related quantitative field.
Bonus Skills to Stand Out (Optional):
- Experience with CI/CD tooling (e.g., GitHub Actions, Jenkins) specifically for ML pipelines and Airflow DAG deployment.
- Experience with data quality monitoring tools and frameworks.
- Master’s or PhD in Computer Science, Mathematics, or a related field.
#LI-IK1
What to Expect - Your Journey with Us
Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it, and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary.
Learn more online at
Company Awards:
- Best All-In-One Hotel Management System | HotelTechAwards (2025)
- Overall 10 Best Places to Work | HotelTechAwards (2025)
- Most Loved Workplace® Certified (2024)
- Top 10 People’s Choice (2024)
- Deloitte Technology Fast 500 (2024)
Discover our Benefits:
- Remote First, Remote Always
- PTO in accordance with local labor requirements
- Monthly Wellness Fridays - enjoy an extra-long weekend every month
- Fully Paid Parental Leave
- Home office stipend based on country of residency
- Professional development courses in Cloudbeds University
- Access to professional development, including manager training, upskilling and knowledge transfer
Everyone is Welcome - A Culture of Inclusion
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics.
Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard-of-hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at [email protected]. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes.
To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications.
#LI-REMOTE
What Makes Cloudbeds Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 count...
Location: London (UK)
Department: Engineering
Hours: Full-time
About YLD:
YLD is a software engineering and product design consultancy, founded in 2013, headquartered in London, with delivery teams in Lisbon and Porto.
We work with engineering and product leaders who know what good looks like and are frustrated by the gap between strategy and execution. We embed senior engineers and designers inside client teams, working in their codebase, their tooling, their delivery rhythm. AI runs through how our teams work, and we help clients adopt it into their own workflows too.
About the role:
We're building out data as a first-class practice at YLD, and we need someone in London who can be the credible technical voice in front of clients and prospects, not just describing what we could do, but backing it with real delivery experience.
This is a senior role, reporting to our Head of Engineering. You'll sit alongside our commercial and client services leadership in meetings where technical credibility matters, help shape and win new engagements, and stay close enough to client work to guide it and step in yourself when an engagement needs you. Alongside, we expect you to build our external reputation in data through events, writing, and the wider community.
About you:
You've been a strong data engineer or data lead for years, and you're comfortable in front of a client as well as in a pull request. You know what good data work looks like well enough to spot it, or its absence, in the first ten minutes of a client conversation. You've probably led a team before. Consultancy background is a strong plus, but not essential if you've got real client or stakeholder exposure elsewhere.
You don't need an existing public profile in the data community, but you'll need the appetite to build one and the technical depth to make it credible when you do.
Your day-to-day responsibilities will look like this:
Hands-on delivery (core, from day one)
- Doing hands-on data engineering work directly, pipelines, transformation layers, models, and the infrastructure around them, not just guiding others
- Adapting to different client contexts: legacy warehouse migrations, greenfield lakehouses, transformation layers that need rescuing
- Guiding the wider team and unblocking hard technical problems as your remit grows beyond your own delivery
- Defining and evolving our internal standards for data work: testing, documentation, project structure, code review
- Mentoring and growing data engineers across the company
Client and commercial (core, from day one)
- Joining client and prospect meetings as the technical authority on data, alongside our client services and commercial leads
- Shaping proposals and pitches, translating client problems into a credible data approach and a defensible scope
- Acting as the escalation point on live data engagements when technical judgement calls need weight behind them
- Travelling to client sites for workshops, discovery sessions, and in-person relationship building, and representing YLD at external data events
Practice, talent, and external profile (growth, over the first year)
- Owning the growth of YLD's data practice: capability, reputation, and headcount over time
- Contributing to attracting and hiring strong data engineers into YLD
- Representing YLD at data events and in the wider community as your standing in the market builds
- Supporting our sales team so that data becomes something we can proactively sell, not just respond to
You'll have the following skills and experience:
Leadership and commercial
- Consulting or agency experience is a strong plus, but real client or stakeholder-facing exposure elsewhere is acceptable
- A track record of technical leadership: leading a team or function
- Comfortable presenting to senior client stakeholders and holding your own under commercial pressure
- Cross-functional fluency: you translate engineering constraints into business terms and negotiate realistic commitments
- Appetite to build a public presence in the data community over time, even if you don't have one yet
Technical
Not theoretical, evidenced by things you've actually shipped, and deep enough to set the bar for a team and answer a sceptical client:
- SQL as engineering: read and review SQL that performs at scale, and understand query planning, engine quirks, and how materialisation choices affect cost and performance well enough to guide a team's decisions
- Python for data: built and maintained production data systems in typed, testable Python, not just notebooks, and can set that standard for others
- Data modelling: made deliberate choices between dimensional, Data Vault, normalised and denormalised designs, and can explain the trade-offs in flexibility, query performance, and maintainability to both engineers and clients
- Transformation architecture: design transformations that are idempotent, incremental, and dependency-aware. You think in DAGs, not scripts
- Pipeline design: weigh batch, streaming, and micro-batch trade-offs against latency, complexity, cost, and reprocessability, and pick the right approach for the problem
- Data testing: know what to catch at build time (schema contracts, assertions, transformation logic) versus defer to observability, and can make that call for a team
- Data observability: treat data reliability like site reliability, with measurable indicators, alerting, incident response, and root cause analysis
- CI/CD for data: version, test, and deploy pipelines like software, with environment promotion, rollback strategies, and infrastructure as code
- Data governance: implemented lineage, cataloguing, sensitive data classification, or access control, and can hold a client to account on making data auditable and secure
- Cost-conscious: optimised warehouse spend, storage strategies, or job efficiency, and treat compute as a resource to manage, not ignore
- Platform fluency: worked across orchestration (Airflow, Dagster), warehouses (Snowflake, BigQuery, Databricks), ingestion (Fivetran, Airbyte, custom), and transformation (dbt, Spark)
- AI Native: experienced in agentic coding workflows (context, harness, loop, and graph engineering), and able to embed AI Engineering constructs into pipelines (RAG, semantic search, evals, guardrails, etc)
You should apply if:
- Confident and credible in front of clients and prospects, without needing a script, and comfortable holding a firm technical or commercial line when a client or prospect pushes back
- Still able to hold up in a deep technical review today, architecture, data modelling, pipeline design, not just talk about decisions you made a few years ago
- Self-motivated, and want to own building a practice, not just execute a workstream someone else has defined, and comfortable without a fully defined remit from day one
- Able to work well with commercial and client services colleagues who aren't technical themselves, translating for them without talking down
- Genuinely energised by variety: different clients, different stacks, different problems, rather than depth in one domain
- Happy travelling regularly, client sites, workshops, industry events, wherever the work and the relationship-building actually happens
- Looking for a role that combines hands-on delivery with client-facing exposure and external visibility (speaking, writing, community), not just one of these
Benefits you’ll receive:
- Company Private Health care (currently provided by Vitality)
- Enhanced fully paid maternity and paternity leave for up to 6 months
- Company's Pension Scheme
- 25 days annual holiday (excluding Public Holidays)
- £2000 annual allowance for Training/Conferences
- £300 annual allowance for additional hardware
- Mental Health support
- Bonus (depending on Company performance and results)
- Company laptop
- Generous referral schemes
Our typical Recruitment Process looks like this:
- Screening call with the Talent team (45-60 mins)
- Technical conversation with our Head of Engineering and a senior data specialist (60 mins)
- Scenario exercise with our Head of Engineering, Head of Client Services and COO (60–90 mins)
Get a glimpse of what it's like working at YLD! 🤳
Check out our LinkedIn page
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Location: London (UK) Department: Engineering Hours: Full-time About YLD: YLD is a software engineering and product design consultancy, founded in 2013, headquartered in London, wi...
- Location: London 1-2 days a week.
- Department: Engineering
- Employment Type: Contract
- Contract Length: 6 months (with potential for extension)
About YLD:
Our goal is to help our clients keep moving forward. We work with them to build the skills and capabilities they need to stay ahead of the competition, and we know our success only happens when they succeed. We’re a team of curious, talented people, and we’re committed to making YLD a place where great people want to work, grow, and stay.
We’re a remote-first consultancy specialising in software engineering, product design, and data. Our teams are based across London, Lisbon, and Porto, and we create digital solutions that continue to deliver value long after our work is done.
About the role:
As a Senior Software Engineer at YLD, you’ll be part of a client team building innovative products. We’re looking for someone curious, passionate, driven, and enthusiastic. You should be skilled in problem-solving and experienced in designing scalable, resilient, and fault-tolerant architectures. You’re also an effective communicator and a strong team player. Together with your team, you’ll thrive in a fast-paced engineering environment, delivering outstanding results and exciting projects.
Preferred Skills:
- Strong backend engineering experience, with Go as a primary or preferred language;
- Comfortable working in cloud environments such as AWS, Azure, or Google Cloud;
- Experience building and maintaining APIs and backend services, including SaaS platforms;
- Familiarity with modern infrastructure and distributed systems;
- Solid understanding of modern deployment practices, including Docker, containers, and Kubernetes;
- Strong background in testing strategies, including TDD, across the full system lifecycle, with a focus on performance optimization;
- Use AI tools to augment your work, applying sound judgement to adopt emerging technologies where they genuinely add value and increase your impact as an engineer.
You should apply if you are:
- Self-motivated, proactive and always looking for ways to improve and develop yourself;
- A good communicator, both in writing and verbally. You’ll be able to explain technical ideas and concepts in business-friendly language;
- Detail-oriented;
- Possess strong problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;
- Used to working in a team-oriented, collaborative environment;
- Analytical and problem-solving-oriented;
- A genuine believer in diversity and fairness.
What you’ll get in return:
- The chance to work with a forward-thinking, ethical, and fun group of people and to develop and grow your skills in a fast-moving business
Our typical recruitment process:
- 1st Interview with a Talent Partner (30/45 mins)
- Technical Interview with our Senior Developers (1h30)
- Final chat with our Client Partner (30/45 mins)
Get a glimpse of what it's like working at YLD! 🤳
Check out our LinkedIn page
We live and breathe our values, and know you will too:
- Growing every day
- Including everyone
- Relationships built on honesty and ethics
- Inspiring solutions
- Winning together
We’re an equal-opportunity employer and value diversity in all its forms. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability. We also offer a remote-first working environment, with flexible working and work–life balance as standard for all employees.
Location: London 1-2 days a week. Department: Engineering Employment Type: Contract Contract Length: 6 months (with potential for extension) About YLD: Our goal is to help our clie...
About the Team
OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners closely with advertisers to deeply understand their businesses and needs, helping inform the development of products and solutions that drive meaningful revenue growth and long-term success on the platform—while maintaining strong standards for user trust and platform integrity.
About the Role
We’re looking for an Ads Solutions Engineer to partner with advertisers and agencies throughout the pre-sales and growth lifecycle, helping them successfully evaluate, launch, and scale on OpenAI’s advertising platform. You will serve as the technical expert in the sales process, translating advertiser objectives into scalable technical solutions across measurement, integrations, data activation, and campaign execution.
This role sits at the intersection of sales, product, and engineering. You’ll work closely with Client Partners, Customer Success Managers, Product, Engineering, Policy, and Operations teams to remove technical blockers, accelerate revenue growth, and shape the future of OpenAI’s ads platform.
In this role, you will:
Partner with Client Partners during the sales cycle to provide technical expertise that unlocks new business and accelerates deal closure.
Lead technical discovery with advertisers and agencies to understand data flows, martech stack, measurement requirements, and activation goals.
Design and recommend implementation approaches for pixels, APIs, server-to-server integrations, identity solutions, offline conversions, and measurement frameworks.
Guide advertisers through onboarding and launch readiness, ensuring successful setup of tracking, attribution, audience signals, and reporting.
Troubleshoot technical issues related to implementation, signal quality, delivery, and measurement performance.
Build compelling demos, proofs of concept, and technical narratives that demonstrate the value of OpenAI’s ads solutions.
Partner cross-functionally with Product and Engineering to escalate issues, advocate for customer needs, and influence roadmap priorities.
Create repeatable technical documentation, playbooks, and best practices that scale advertiser adoption globally.
Help train internal sales and success teams on technical capabilities, integrations, and evolving product features.
You will thrive in this role if you:
Have 5+ years of experience in solutions engineering, sales engineering, technical account management, adtech, martech, or a related client-facing technical role.
Have hands-on experience with digital advertising measurement, pixels, conversion APIs, mobile measurement, identity solutions, or CRM/data integrations.
Understand advertiser ecosystems including tag managers, CDPs, analytics tools, attribution platforms, and data warehouses.
Can explain complex technical concepts clearly to both technical practitioners and executive stakeholders.
Have experience writing SQL, using APIs, debugging implementation issues, or working with structured datasets.
Are comfortable operating in ambiguous, fast-moving environments and helping build processes from scratch.
Demonstrate strong ownership, bias for action, and customer empathy.
Care deeply about responsible platform growth, user trust, and long-term partner success.
About OpenAI
OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity.
We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic.
For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement.
Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations.
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We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link.
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At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. Join us in shaping the future of technology.
About the Team OpenAI’s mission is to ensure the responsible and widespread adoption of artificial intelligence. In support of that mission, the Ads Solutions team partners close...
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