Build and operate AWS-based data pipelines using Step Functions, Lambda, Fargate, and Aurora PostgreSQL.
Develop KPI evaluation services combining business rules and AI/ML models.
Ensure data quality through reliable synchronization, reconciliation, and error prevention.
Troubleshoot production issues, identify root causes, and implement sustainable fixes.
Analyze AI prediction performance against human evaluations.
Enhance and maintain a React/TypeScript review application.
Manage infrastructure as code with AWS CDK and CI/CD pipelines in Azure DevOps.
Collaborate closely with DQM specialists, product stakeholders, and international engineering teams.

3+ years of professional Python backend development experience.
Degree in Computer Science, Software Engineering or a comparable field, or equivalent professional experience.
Fluent English, written and spoken. German is beneficial but not required.
Ability to work independently while collaborating with local and international teams.
Strong SQL and PostgreSQL skills, including performance tuning and database design.
Experience with large-scale ETL/batch processing and reliable data pipelines.
Hands‑on experience with AWS (Step Functions, Lambda, Fargate, Aurora) and Infrastructure as Code (AWS CDK, Terraform, or CloudFormation).
Solid knowledge of automated testing, Docker, CI/CD, monitoring, and production troubleshooting.
Experience with React and TypeScript; familiarity with Module Federation, Vite, or Mantine is a plus.
Exposure to AI/ML, data quality, or LLM‑powered applications is advantageous.

Full Stack Developer - AI products

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