About this role
Cloud-driven organizations struggle to gain visibility into rapidly expanding artificial intelligence expenses across model APIs, managed inference, GPUs, and agentic coding tools. DoiT International addresses this challenge through its Cloud Intelligence platform, specifically targeting the complexity of tracking and understanding cloud-based artificial intelligence spend.
As a senior full-stack engineer within the R&D team, you will own the AI cost visibility product end-to-end, shaping its development from Go backend services to React user interfaces. This role suits someone who thrives in a young product category, prefers autonomy over rigid specifications, and naturally incorporates artificial intelligence tools across their daily engineering workflow.
What you will do
- Take ownership of features from initial customer pain points through design, implementation, release, monitoring, and ongoing iteration.
- Understand the economics of artificial intelligence spend, including token pricing, GPU costs, and how usage rolls up across teams and initiatives.
- Utilize artificial intelligence tools daily across the entire software development lifecycle for tasks such as prototyping, debugging, and documentation.
- Design, build, and scale backend services using Go alongside product experiences in TypeScript and React.
- Develop capabilities through an API-first approach so both human users and agents can effectively drive the platform.
- Establish high technical standards for the team through thoughtful design reviews, mentorship, and robust engineering practices.
What you need
- Bring at least seven years of professional software engineering experience building multi-tenant SaaS products with end-to-end ownership.
- Demonstrate strong proficiency in Go for backend services, APIs, and data processing operations.
- Possess solid experience with TypeScript and modern React, accompanied by a strong sense for effective data presentation.
- Have hands-on experience building on public cloud infrastructure, preferably Google Cloud, alongside working SQL proficiency with analytical stores.
- Apply product-oriented thinking to ensure features solve real user problems and deliver measurable business value.
- Maintain an AI-augmented working style with concrete experience leveraging AI tools across your engineering workflow.
- Communicate effectively in English with strong self-organization, independence, and comfort operating in ambiguous environments.
Nice to have
- Knowledge of FinOps and FinOps products
- BA/BS degree or equivalent practical experience
- Demonstrating a portfolio of past career builds
Benefits
- Unlimited Vacation
- Flexible Working Options
- Health Insurance
- Parental Leave
- Employee Stock Option Plan
- Home Office Allowance
Skills and tech stack
Questions candidates ask
Where is this role located and can I work remotely?
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. Employees enjoy flexible working options and the ability to balance work and home life.
What technologies and tools will I be working with daily?
You will design and scale backend services in Go, build product interfaces in TypeScript and React, and interact with analytical data stores like BigQuery on public cloud infrastructure. You will also work AI-augmented from day one, using AI tools across your entire engineering workflow.
What is the focus of the product I will be working on?
You will own the AI cost visibility product within DoiT Cloud Intelligence end-to-end. The product exists to answer basic questions about cloud spend, tracking model APIs, managed inference, GPUs, and agentic coding tools.
What kind of working style does the team expect?
You are expected to be product-oriented, comfortable with ambiguity in a fast-moving market, and capable of proposing work rather than waiting for a spec. The team embraces an AI-augmented working style where you use AI daily across the full span of your work.