高级全栈工程师 - AI成本可视化

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.

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 OpportunityAI 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.

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.

7+ years of professional software engineering experience, including multi-tenant SaaS products, with a track record of owning features or products end-to-end in production

Comfortable across the stack. You may lean backend or lean frontend, but you can own a feature from the data model through to the interface

Experience building on public cloud (GCP preferred; AWS or Azure), and working proficiency in SQL against an analytical store such as BigQuery

Product-oriented thinking - you care as much about why you're building something and whether it works for users as you do about how it's built

AI-augmented working style - you already use AI tools across your engineering workflow and can talk concretely about what you've got out of them, and where they fell short

Strong knowledge of software engineering practices, design patterns and architectural principles, and the ability to set direction for others

Comfortable with ambiguity in a fast-moving market - you can figure out the right problem to solve, not just the right solution

Knowledge of FinOps and FinOps products would be a strong plus.

Be your truest self. Work on your terms. Make a difference.

We are home to a global team of incredible talent who work remotely and have the flexibility to have a schedule that balances your work and home life. We embrace and support leveling up your skills professionally and personally.

What does being a Do'er mean? We're all about being entrepreneurial, pursuing knowledge, and having fun! Click here to learn more about our core values.

Sounds too good to be true? Check out our Glassdoor Page.

We thought so too, but we're here and happy we hit that 'apply' button.

Many Do'ers, One Team DoiT unites as Many Do'ers, One Team, where diversity is more than a goal-it's our strength. We actively cultivate an inclusive, equitable workplace, recognizing that each unique perspective enhances our innovation. By celebrating differences, we create an environment where every individual feels valued, contributing to our collective success.