Senior Full-Stack Engineer - AI Cost Visibility- Poland(Remote)

DoiT; United States; Remote; USD 120,000 - 180,000; Full time

Job summary

DoiT is seeking a Senior Full-Stack Engineer to join our R&D team and own the AI cost visibility product end-to-end, from ingesting data and modeling spend to delivering APIs and React interfaces for FinOps practitioners.

You will work across Go and TypeScript/React, building scalable backend services and user-friendly cost insights. This role embraces AI-augmented development and remote collaboration with flexible global teams.

Qualifications

• 7+ years of professional software engineering experience, owning features or products end-to-end.
• Strong Go for backend services – APIs and data processing.
• Strong TypeScript and modern React, with data presentation focus.
• Cross-stack capability; own a feature from data model to UI.
• Experience on public cloud (GCP preferred; AWS/Azure OK) and SQL analytics.
• Product-oriented thinking; care about user outcomes and usefulness.
• AI-augmented working style; use AI across engineering workflow.
• Excellent knowledge of software engineering practices, patterns, and architecture.
• Comfortable with ambiguity in a fast-moving market and clear communication in English.

Responsibilities

• Own features end-to-end from understanding customer pain to design, implement, release, monitor and iterate.
• Understand AI spend domain: token pricing, inference, GPU economics, and cost aggregation for FinOps.
• Work AI-augmented: prototype approaches, generate/review code, test and document.
• Design, build and scale backend Go services and frontend TypeScript/React experiences.
• Build API-first capabilities so both humans and agents can drive the platform.

Skills

Go backend

TypeScript

React

Cloud platforms

SQL/BigQuery

AI tooling

Product thinking

Job description

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.

Qualifications

• 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
• Strong Go for backend services - APIs, data processing, and the operational realities of running them
• Strong TypeScript and modern React, with a good eye for how data should be presented
• 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
• Excellent communication skills in English, both written and verbal

Self-organized, goal-oriented and self-motivated; confident, thorough and tenacious

Bonus Points

• Knowledge of FinOps and FinOps products would be a strong plus.
• BA/BS degree or equivalent practical experience.
• Demonstrating a portfolio of what you’ve built in your career so far

Are you a Do’er?

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!

Many Do’ers, One Team DoiT

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.

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