Senior Full-Stack Engineer - AI Cost Visibility

About DoiT

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. 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: Take a problem from understanding customer pain through design, implementation, release, monitoring, and iteration. You define what done looks like and own the outcome.
• Domain mastery: Understand token and model pricing, inference and GPU economics, and how usage rolls up to teams and initiatives.
• Working AI-augmented: Use AI daily across exploring codebases, prototyping approaches, generating/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.
• API-first architecture: Build capabilities so they are fully available via APIs for both humans and agents.
• Raising the bar: Lead thoughtful design reviews, build guard-rails, establish solid engineering practices, and mentor peers.

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 proficiency in Go for backend services, APIs, and data processing
• Strong proficiency in TypeScript and modern React
• Comfortable across the entire stack from data models to UI
• Experience building on public cloud platforms (GCP preferred; AWS or Azure) and proficiency in SQL with analytical stores like BigQuery
• Product-oriented mindset and practical experience using AI tools across your engineering workflow
• Solid grasp of software engineering practices, design patterns, and architectural principles
• Excellent written and verbal communication skills in English

Bonus Points

• Knowledge of FinOps concepts and FinOps products
• BA/BS degree or equivalent practical experience
• Portfolio of past production applications

Benefits

• Unlimited Vacation
• Flexible Working Options
• Health Insurance
• Parental Leave
• Employee Stock Option Plan (ESOP)
• Home Office Allowance
• Professional Development Stipend
• Peer Recognition Program