
Location
This role is based remotely in EMEA. We hire full-time employees in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel, as well as 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 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.
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: Take a problem from understanding customer pain through design, implementation, release, monitoring, and iteration. You define what done looks like and own the outcome.
- Knowing the product and domain: Understand how AI spend works (token and model pricing, inference and GPU economics, usage rollups) and how FinOps practitioners reason about it.
- Working AI-augmented: Use AI daily across the full span of your work — exploring codebases and vendor APIs, prototyping approaches, generating and reviewing code, debugging, writing tests, and producing documentation.
- 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 clear, fast, and trustworthy interfaces.
- API-first: Build capabilities so they are fully available through APIs, enabling both humans and agents to drive the platform.
- Raising the bar: Set the standard for the team through thoughtful design reviews, guardrails, and engineering practices. Mentor peers and share learnings.
Qualifications
- 7+ years of professional software engineering experience, including multi-tenant SaaS products, with a track record of owning features end-to-end in production.
- Strong Go experience for backend services (APIs, data processing, and operational execution).
- Strong TypeScript and modern React experience, with an eye for data presentation.
- Comfortable across the stack — capable of owning a feature from the data model through to the interface.
- Experience building on public cloud platforms (GCP preferred; AWS or Azure) and working proficiency in SQL against analytical stores like BigQuery.
- Product-oriented mindset focused on user outcomes as much as technical execution.
- Demonstrated AI-augmented working style using modern tools across your workflow.
- Strong knowledge of software engineering practices, design patterns, and architectural principles.
- Comfortable navigating ambiguity in a fast-moving market.
- Excellent written and verbal communication skills in English.
Bonus Points
- Knowledge of FinOps concepts and products.
- BA/BS degree or equivalent practical experience.
- A portfolio of software products you've built.
Benefits
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
- Professional Development Stipend
- Peer Recognition Program
Timezone overlap
UTC+0–+3
Benefits
Unlimited PTO, Health, Parental leave, Equity, Home office, Learning, Bonus
Open to
Europe
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