Senior Software Engineer (Python)

We’re looking for a Senior Software Engineer to join a team and be responsible for developing the core back end of cloud-based, multi-tenant industrial AI solutions, while ensuring top standards of performance, security, and reliability.

• 7+ years of hands-on back-end development experience, with a demonstrated history of designing, building, and operating scalable, production-grade SaaS systems
• Strong, proven expertise in developing asynchronous APIs using Python
• Mandatory, hands-on experience with FastAPI, Pydantic, and SQLAlchemy
• Advanced knowledge of PostgreSQL, including data modeling and migrations (e.g., Alembic)
• Practical, professional experience deploying to Kubernetes on hyperscaler platforms such as MS Azure and AKS
• Basic skills in data tools (e.g., Pandas) and exposure to data platforms (e.g., Databricks) necessary to collaborate effectively with Data Scientists and Data Engineers at interface level
• Extensive experience designing secure, multi-tenant systems and RESTful APIs
• Strong ability to apply modular, layered architecture principles with strict component boundaries
• Proficiency in automated testing frameworks (e.g., pytest), including experience automating different levels of testing such as unit, integration, and acceptance testing
• Strong experience working in international, multidisciplinary teams
• Excellent communication abilities
• English level – Upper-Intermediate or higher

Nice to have:

• German language skills
• Ability to go on business trips (EU, Germany)

• Lead detailed software design, documentation, and development of secure and resilient back-end systems and APIs, emphasizing a modular, layered architecture
• Build and maintain key back-end services, business logic, and database schemas, ensuring strong data integrity and application consistency
• Maintain technical excellence in deploying back-end services on cloud infrastructure, applying best practices for observability, monitoring, and security
• Establish and enforce back-end engineering best practices, including automated testing, dependency injection patterns, and structured code reviews to ensure system stability and quality