Senior Full-Stack Engineer - AI Cost Visibility- Ukraine(Remote)
About this role
Engineers who thrive in ambiguity and enjoy shaping a young product from scratch will find a natural home in this team. DoiT is expanding its R&D division to build AI cost visibility tools that help organizations track and understand growing multicloud expenses. This role centers on owning product features end-to-end, covering everything from Go backend services to React user interfaces.
The position exists because AI spend has become one of the hardest lines on customer cloud bills to monitor and manage. Team members work in an AI-augmented environment daily, using automated tooling across code exploration, prototyping, debugging, and documentation. Ideal candidates bring a strong product mindset, solid full-stack development skills, and practical experience leveraging AI in their routine workflows.
What you will do
- Take ownership of features end-to-end, guiding problems from initial customer pain points through design, implementation, release, monitoring, and iteration.
- Design, build, and scale backend services in Go alongside product experiences using TypeScript and React.
- Develop capabilities as API-first so that both humans and agents can fully drive the platform.
- Utilize AI daily across the full software development lifecycle for exploring codebases, prototyping, testing, and debugging.
- Apply domain knowledge of AI spend, token pricing, and GPU economics to make informed engineering decisions.
- Set technical standards for the team through design reviews, robust engineering practices, and peer mentorship.
What you need
- Bring at least seven years of professional software engineering experience, including work on multi-tenant SaaS products.
- Demonstrate strong proficiency in Go for building backend services, APIs, and data processing systems.
- Possess robust skills in TypeScript and modern React for creating clear and responsive user interfaces.
- Have hands-on experience building applications on public cloud platforms like GCP, AWS, or Azure.
- Maintain working proficiency in SQL against analytical data stores such as BigQuery.
- Show a proven history of an AI-augmented working style with concrete examples of using AI tools in engineering workflows.
Nice to have
- Knowledge of FinOps and FinOps products
- BA/BS degree or equivalent practical experience
- Portfolio demonstrating career engineering projects
Benefits
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
Skills and tech stack
Questions candidates ask
What is the remote work policy for this role?
This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel, with openness to contractors in Eastern Europe and Portugal.
What technology stack will I be working with?
You will design, build, and scale backend services in Go and product experiences in TypeScript and React, while working with analytical stores like BigQuery on public cloud infrastructure.
How is AI integrated into the daily workflow?
You will work AI-augmented from day one by using AI across your whole workflow for exploring codebases, prototyping, generating code, debugging, writing tests, and producing documentation.
What kind of product will I be building?
You will own the AI cost visibility product end-to-end, which helps customers track spend on model APIs, managed inference, GPUs, and agentic coding tools.