Senior Full-Stack Engineer - AI Cost Visibility - Doit International

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

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. 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

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