About this role
The Senior Software Engineer will build and operate backend services that support AI model training and evaluation. You will develop software for a fleet of autonomous data collection systems and create tools to manage and monitor over 100 distributed stations. The role involves owning systems end-to-end from architecture to production operations, working closely with AI/ML engineers. The technical environment includes Python, FastAPI, PostgreSQL, Docker, Kubernetes, and GCP. You will work on complex challenges at the intersection of AI, backend engineering, and cloud infrastructure.
Skills & technologies
Must have
Nice to have
- React
- TypeScript
- FastAPI
- Google Cloud Platform
- CI/CD
- Distributed systems
- Microservices
- Messaging systems
- Event-driven architectures
- Terraform
- Ansible
- Infrastructure as Code
Read full description
I'm currently working with a highly innovative AI company building the infrastructure behind large-scale machine learning systems and advanced data collection operations.
They're looking for a Senior Software Engineer to help build and scale the platforms, services, and tooling that enable AI teams to train, benchmark, and deploy next-generation models.
📍Onsite first - central Munich office
💰 Up to €130,000
🔥 What You'll Be Doing
✅ Building and operating backend services that support AI model training and evaluation
✅ Developing software that powers a fleet of autonomous data collection systems
✅ Creating tools to manage and monitor 100+ distributed stations
✅ Owning systems end-to-end from architecture and development through to deployment and production operations
✅ Working closely with AI/ML engineers and cross-functional teams to solve complex real-world challenges
✅ Improving scalability, reliability, observability, and developer experience as systems grow
🛠 Technology Stack
• Python
• FastAPI
• PostgreSQL
• Docker
• Kubernetes
• GitLab CI/CD
• REST APIs
• Bazel
• TypeScript / React
• Google Cloud Platform (GCP)
✅ What They're Looking For
• 5+ years of experience building and operating production web services
• Strong Python development experience
• Solid understanding of SQL databases
• Hands-on experience with Docker and Kubernetes
• A proactive, ownership-driven mindset
• Someone comfortable working across multiple systems and solving ambiguous technical challenges
⭐ Nice-to-Have Experience
• React / TypeScript
• FastAPI
• GCP
• CI/CD pipeline development
• Distributed systems & microservices
• Messaging systems / event-driven architectures
• Terraform, Ansible or other Infrastructure as Code tools
Why This Opportunity?
This role sits at the intersection of AI, backend engineering, cloud infrastructure, and real-world data collection systems. You'll have genuine ownership, significant technical impact, and the chance to work on complex challenges that directly influence how cutting-edge AI models are built and improved.
📩 If you're an experienced engineer looking for your next challenge, or know someone who might be interested, feel free to reach out.
