
Senior Full-Stack Engineer - AI Cost Visibility- Romania(Remote)
About this role
Organizations struggle to track and make sense of rapidly growing AI spend across model APIs, GPUs, and agentic coding tools. The AI cost visibility product within DoiT Cloud Intelligence solves this challenge by helping customers understand expenses, workloads, and team usage.
In the R&D team, the engineer will own this early-stage product end-to-end, building Go backend services and React interfaces while working in an AI-augmented daily workflow. The ideal candidate brings strong full-stack skills, product-oriented thinking, and comfort with ambiguity to shape how customers manage cloud and AI costs.
What you will do
- Take ownership of features end-to-end from problem definition through design, implementation, release, and monitoring.
- Understand AI spend mechanics, token pricing, GPU economics, and how FinOps practitioners analyze costs.
- Utilize AI tools daily across the entire software development lifecycle for coding, testing, debugging, and documentation.
- Design and scale backend services in Go alongside product experiences built in TypeScript and React.
- Build capabilities using an API-first approach so both human users and agents can drive the platform.
- Contribute to team growth through thoughtful design reviews, engineering standards, and peer mentorship.
What you need
- Bring 7 or more years of professional software engineering experience working with multi-tenant SaaS products.
- Demonstrate strong proficiency in Go for building backend services, managing data processing, and operating distributed systems.
- Possess solid experience with TypeScript and modern React for creating intuitive user interfaces.
- Show working knowledge of public cloud platforms, with a preference for GCP alongside AWS or Azure.
- Maintain analytical SQL skills when querying stores such as BigQuery.
- Already incorporate AI tools into your daily engineering workflow and maintain a product-oriented mindset.
Nice to have
- Knowledge of FinOps and FinOps products
- BA/BS degree or equivalent practical experience
- Demonstrating a portfolio of what you've built in your career
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?
This role is based remotely as a full-time employee in the UK, Ireland, Estonia, the Netherlands, Sweden, and Israel. Contractors in Eastern Europe and Portugal are also welcome to apply.
What is the daily development approach regarding AI?
Team members work AI-augmented from day one and are expected to use AI across their whole workflow rather than just as an occasional autocomplete. This includes exploring codebases, prototyping, generating code, debugging, and writing tests.
What technologies will I be using?
The tech stack includes Go for backend services and data processing, along with TypeScript and modern React for product interfaces. Engineers also work with public cloud platforms like GCP, AWS, or Azure and analytical stores like BigQuery.