Senior Full-Stack Engineer - AI Cost Visibility- Ukraine(Remote)

DoiT is a global technology company specializing in cloud-driven solutions to help organizations leverage cloud technology for business growth and innovation. They deliver DoiT Cloud Intelligence, integrating advanced technology and human expertise, focusing on multicloud environments including Kubernetes, GenAI, and CloudOps. The company is an award-winning partner of AWS, Google Cloud, and Microsoft Azure, serving more than 4,000 customers worldwide.

• 7+ years of professional software engineering experience including multi-tenant SaaS products, with a proven track record of owning features or products end-to-end in production.
• Strong proficiency in Go for backend services including APIs and data processing.
• Strong skills in TypeScript and modern React.
• Comfortable across the stack, able to own a feature from data model through interface.
• Experience building on public cloud platforms, preferably GCP, but also AWS or Azure.
• Proficient in SQL, preferably against analytical stores such as BigQuery.
• Product-oriented thinking focused on building useful and user-centric features.
• AI-augmented working style, using AI tools throughout engineering workflow with practical knowledge of their strengths and limitations.
• Strong knowledge of software engineering practices, design patterns, and architectural principles.
• Ability to handle ambiguity in fast-moving markets by identifying the right problems to solve.
• Excellent English communication skills, both written and verbal.

Nice to have:

• Knowledge of FinOps and FinOps products.
• BA/BS degree or equivalent practical experience.
• Portfolio demonstrating career achievements.

• Own features end-to-end from understanding customer pain points, through design, implementation, release, monitoring, and iteration, defining the standards of done including reliability and user experience.
• Understand the AI spend domain, including token and model pricing, inference and GPU economics, and the needs of FinOps practitioners.
• Use AI tools daily across the engineering workflow for codebase exploration, prototyping, code generation and review, debugging, testing, and documentation.
• Design, build, and scale backend services in Go and frontend product experiences using TypeScript and React.
• Build API-first capabilities accessible to both humans and agents.
• Set engineering standards through thoughtful design reviews, guard rails, and mentoring peers.