tracebloc
September 4, 2025
Sr. Backend / DevOps Engineer
Build scalable backend systems for distributed AI workloads and federated learning
Berlin, Germany
OnSite
Full Time
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Mail To: career@tracebloc.io

About the Role

We're looking for a capable, self-driven Sr. Backend / DevOps 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

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