CO

Senior Full-Stack Developer (TypeScript / Python, AWS)

Hiring from
Ukraine
Work type
Remote
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Senior Full-Stack Developer (TypeScript / Python, AWS)

Codebridge is looking for a Senior Full-Stack Developer to work on an enterprise AI platform MVP for a global consulting client. You will help turn an existing prototype into a robust, secure and supportable product, working with a client-led product team and following structured engineering processes.

Responsibilities
  • Develop and harden the web application: frontend (HTML5, CSS), backend (TypeScript, Python) and APIs.
  • Refactor and stabilize prototype code (including AI-assisted code) to production quality.
  • Containerize and deploy services on AWS (Docker, ECR, ECS Fargate).
  • Work with PostgreSQL and S3, and integrate with LLM services (AWS Bedrock).
  • Implement secure engineering practices aligned with ISO 27001 and SOC 2 (access control, logging, secrets management).
  • Write automated tests, documentation, and take part in code reviews.
  • Work with client product owner and the data/AI engineer, following the client’s functional specifications.
Requirements
  • 5+ years of commercial full-stack development experience.
  • Strong TypeScript and Python.
  • Solid frontend fundamentals (HTML5, CSS, modern JS).
  • Hands-on AWS: ECS Fargate, ECR, S3, IAM; Docker.
  • PostgreSQL and REST API design.
  • CI/CD, observability and basic IaC.
  • Experience in security-conscious or regulated environments (ISO 27001 / SOC 2 requirements).
  • Experience following formal SDLC and governance processes.
  • Fluent English; availability to overlap with Central Europe / Middle East working hours.

Nice to have
  • Experience with LLM integrations (AWS Bedrock, RAG).
  • Experience supporting production systems (break-fix, incident handling).
  • Experience in enterprise or consulting-client projects.
  • Familiarity with BI/dashboards (Power BI).
We Offer
  • Innovation Culture: Work in an AI-first team that actively experiments with AI and modern development approaches
  • Meaningful Challenge: Take an enterprise AI platform from prototype to a secure, production-ready product for a global consulting client
  • Flexible Work: Remote work or a modern office in Kyiv
  • Generous Time Off: 20 paid vacation days + 15 sick leave days annually
  • Professional Growth: Compensation for courses, certifications (including AWS), and learning resources
  • Cutting-Edge Tools: Access to premium AI tools (Cursor Pro, Claude Code, GitHub Copilot, etc.)
  • Supportive Environment: Collaboration, trust, and focus on outcomes rather than micromanagement
Recruitment Process
1. HR Interview
2. Tech & Final Interviews
3. Job Offer

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