Sr. Backend / DevOps Engineer

tracebloc GmbH; Berlin; Vor Ort; EUR 90.000 - 140.000; Vollzeit

Benefits dieser Stelle

Competitive compensation

Equity options

Flexible working

Central Berlin location

Zusammenfassung

tracebloc GmbH in Berlin is seeking a Sr. Backend / DevOps Engineer to design and scale distributed AI infrastructure, focusing on secure, reliable deployments.

You will own backend architecture, work hands-on with Python/Django, Kubernetes, CI/CD, and MLOps, and help optimize performance across ML workloads.

Qualifikationen

• 5+ years in distributed systems and cloud architecture.
• Strong Python/Django with ML integrations.
• Experience with Kubernetes and containerized deployments.
• Experience with CI/CD and DevOps practices.
• Knowledge of database optimization and scaling.

Aufgaben

• Design and Modernize Backend Architecture
• Build and Scale Distributed AI Infrastructure
• Optimize Performance
• Drive MLOps

Kenntnisse

Python/Django

ML integrations

Unit testing with pytest

Cloud-native architectures

Distributed systems

Tools

Kubernetes

Containerized deployments

CI/CD pipelines

Jobbeschreibung

Build scalable backend systems for distributed AI workloads and federated learning

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
• Drive MLOps

What we're looking for

5+ years in distributed systems and cloud architecture.

• 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

Nice to have

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

What we offer

• 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

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