Sr. Backend Python/Django Engineer (5y+)

About the Role

We're looking for a capable, self-driven Sr. Backend Python/Django Engineer with 5+ years in distributed systems and cloud-native architectures. In this role, you design and scale distributed AI infrastructure, optimize performance across diverse ML workloads, and ensure secure, reliable deployments. You work hands-on on microservices, CI/CD, and multi-cloud environments to support enterprise-scale AI.

Key Responsibilities

• Design and Modernize Backend Architecture
• Build and Scale Distributed AI Infrastructure
• Optimize Performance
• Implement CI/CD Pipelines
• Drive MLOps
• Strengthen Security

Required Experience & Skills

• Experince: 5+ years in distributed systems and cloud architecture.
• Skills:
  • Strong Python/Django with ML integrations
  • Develop and maintain unit test suites with pytest to ensure code quality
  • Proficiency with Kubernetes and containerized deployments
  • Experience with CI/CD pipelines and DevOps practices
  • Knowledge of database optimization and scaling
  • Background in building distributed, scalable AI infrastructure
  • You are a technology generalist and comfortable working in early-stage startups

Good-to-Have Skills:

• Federated learning and distributed ML systems
• Edge computing
• GPU optimization and high-performance computing

Why Join tracebloc?

• Impactful Work: Shape how data scientists and AI teams collaborate securely
• Growth Opportunities: Work with an experienced leadership team and cutting-edge tech
• Competitive Compensation: Upper-market salary, performance incentives, and equity options
• Vibrant Culture: Flexible working, diverse team, and creative autonomy in central Berlin

How to Apply

To help us understand your technical capabilities, include:

• A link to your Git repository (GitHub, GitLab) with ML pipeline or deployment code
• If no public repo, share sample code or a detailed project write-up (architecture, workflow, contributions)
• CV