Opportunity Overview
We are looking for a Senior or Master Full Stack Developer who can take product requirements, design the technical solution, and build it.
You will own features end to end on a cloud enterprise platform: backend services, APIs, integrations, and React interfaces that support complex business workflows. You will also support the live project — investigating issues, fixing bugs, and keeping the platform running.
This role uses AI intensively in day-to-day work, with judgment: you decide when it helps, review the output, and remain accountable for the result.

What you will do
Work with product to understand requirements, then design and implement the solution
Build backend services in Python and frontend applications in React
Design and maintain REST APIs, data contracts, and integrations with external systems
Build resilient systems (async processing, retries, fault tolerance)
Contribute to the design system, reusable components, and Storybook
Use PostgreSQL, Temporal, Docker, and AWS Bedrock
Write tests, follow accessibility standards, and keep the UI maintainable
Investigate and fix bugs in production and in development
Add observability with OpenTelemetry and Grafana
Work with Terraform and GitHub Actions for CI/CD
Contribute to architecture decisions and help raise engineering standards
Use AI tools heavily to speed up design, coding, and troubleshooting — always with review and sound engineering judgment

Required Qualifications
Advanced English
Hands-on production experience with both backend and frontend technologies
Python (production), REST APIs, Docker, API Gateway, PostgreSQL
Event-driven / async processing, message queues, workflow orchestration (e.g. Temporal)
GitHub Actions, observability (OpenTelemetry, Grafana, or similar)
React, JavaScript or TypeScript, HTML/CSS, responsive UI, REST integration
Storybook, frontend testing with Playwright, Git
Knowledge of Terraform and design systems
Ability to turn product requirements into a technical design and working software
Distributed systems, resilience patterns, auth (OAuth, OIDC, SSO, RBAC)
Production troubleshooting and bug fixing, accessibility, clear communication
Comfortable using AI as a core part of the workflow, with the judgment to validate, correct, and own the output

Nice to Have
AI/LLM integrations, enterprise SaaS, Jest/Cypress, design systems at scale, cloud frontend deploys, mentoring.