Location

The senior Full-Stack Engineer will be an integral part of our Engineering teams in EMEA. This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. We are also open to contractors in Eastern Europe and Portugal.

Who We Are

DoiT is a global technology company that works with cloud-driven organizations to leverage the cloud to drive business growth and innovation. We combine data, technology, and human expertise to ensure our customers operate in a well-architected and scalable state - from planning to production.

Delivering DoiT Cloud Intelligence, the only solution that integrates advanced technology with human intelligence, we help our customers solve complex multicloud problems and drive efficiency.

With decades of multicloud experience, we have specializations in Kubernetes, GenAI, CloudOps, and more. An award-winning strategic partner of AWS, Google Cloud, and Microsoft Azure, we work alongside more than 4,000 customers worldwide.

The Opportunity

AI is the fastest-growing line on our customers' cloud bills - and the hardest one to see. Model APIs, managed inference, GPUs, and a growing fleet of agentic coding tools each report spend differently, and most teams still can't answer the basic questions: what are we spending, on which workloads, for which teams, and is it worth it. Our AI cost visibility product, part of DoiT Cloud Intelligence, exists to answer them.

We're hiring a Senior Full-Stack Engineer into our R&D team to own this product end-to-end - from the Go services that ingest and model AI spend, through the APIs that expose it, to the React interfaces where FinOps practitioners and platform engineers make decisions. This is a young product in a category being defined right now. You'll shape how it works, not just implement someone else's spec, and there is a short line from your work to what customers see.

You'll work AI-augmented from day one. We expect you to use AI across your whole workflow - not as an occasional autocomplete - and to have real opinions about where it earns its place and where it doesn't.

Responsibilities

• Owning features end-to-end. This is the core of the role. Take a problem from understanding the customer's pain, through design and implementation, to release, monitoring, and iteration. You define what done looks like and you own the outcome - reliability, user experience, and measurable impact included. Propose the work you think should happen; you're not here to wait for a spec.
• Knowing the product and the domain. Understand how AI spend actually works - token and model pricing, inference and GPU economics, how usage rolls up to teams and initiatives - and how FinOps practitioners reason about it. You should be able to explain why a feature matters to a customer as clearly as how it's built, and bring that judgement into every design decision.
• Working AI-augmented. Use AI daily across the full span of your work - exploring the codebase and unfamiliar vendor APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation. Push on what agentic tooling can do for this codebase, and bring judgement about where AI raises velocity and where a human still has to hold the quality bar.
• Full-stack delivery. Design, build, and scale backend services in Go and product experiences in TypeScript and React. Turn large volumes of cost and usage data into interfaces that make the answer obvious - clear, fast, and trustworthy enough to base financial decisions on.
• API-first. Build capabilities so they're fully available through APIs, not just the UI. Both humans and agents should be able to drive the platform.
• Raising the bar. As a senior engineer, set the standard for the team: thoughtful design reviews, guard-rails that let customers succeed, and engineering practices that let us move fast without breaking trust. Mentor peers and share what you learn.