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. 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: Take a problem from understanding the customer's pain, through design and implementation, to release, monitoring, and iteration. Define what done looks like and own the outcome—reliability, user experience, and measurable impact included.
• Knowing the product and domain: Understand how AI spend works—token and model pricing, inference and GPU economics, and 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, generating/reviewing code, debugging, testing, and writing 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, not just the UI, enabling both humans and agents to drive the platform.
• Raising the bar: Set the standard for thoughtful design reviews, guard-rails, and engineering practices. Mentor peers and share knowledge.

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 operational realities of running them
• Strong TypeScript and modern React, with a solid eye for data presentation
• Comfortable across the stack with the ability to 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 analytical stores like BigQuery
• Product-oriented thinking and customer-centric problem solving
• AI-augmented working style with concrete experience using AI tools in engineering workflows
• 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 and FinOps products
• BA/BS degree or equivalent practical experience
• Demonstrable portfolio of production systems built in your career

Benefits

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