Sr. Backend / DevOps Engineer
Sr. Backend / DevOps Engineer
Sr. Backend / DevOps Engineer
Sr. Backend / DevOps Engineer
tracebloc GmbH
Internet, IT
Berlin
- Art der Beschäftigung: Vollzeit
- 77.000 € – 87.000 € (von XING geschätzt)
- Vor Ort
Sr. Backend / DevOps Engineer
Über diesen Job
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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