Senior Site Reliability Engineer

Schwarz Digits

Bad Friedrichshall, Germany • 1h ago • On-site

Senior

On-site

62,400 - 62,400 EUR/yr

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Quick Facts

  • Role: Senior Site Reliability Engineer (Control Plane)

  • Focus: Kubernetes reliability, monitoring/alerting, automation, incident response

  • Location: Bad Friedrichshall

Description

As a (Senior) Site Reliability Engineer for the STACKIT Control Plane, you will strengthen operational reliability by improving monitoring and alerting, ensuring SLO compliance, and speeding up detection and mitigation through automation. You’ll develop production-ready tooling in Go, work with Kubernetes Control Plane internals, and optimize Linux and networking performance for scalable distributed systems. You will also act as a reliability consultant to development teams and support progressive delivery via CI/CD.

Responsibilities

  • Improve monitoring and alerting infrastructure to shorten Time-to-Detect and ensure SLO adherence

  • Reduce Time-to-Mitigation using playbooks, responder dashboards, and comprehensive telemetry (logs and metrics)

  • Advise development teams on reliability patterns and enable Shift Left/shared responsibility

  • Design and optimize CI/CD processes to support progressive delivery (Canary, Blue/Green) with low-risk updates

  • Proactively analyze Control Plane scalability and address bottlenecks (distributed consensus, database throughput, kernel-level networking)

  • Join paid on-call rotation, lead incident responses, and moderate post-mortems/root-cause analyses

Requirements

  • 3+ years of experience in Site Reliability Engineering, DevOps, or Platform Engineering, with production experience running large distributed systems

  • Expert knowledge of Kubernetes Control Plane internals (API server, controller manager, scheduler, etcd)

  • Strong Go skills for production-grade automation tools, Kubernetes operators, or integration code

  • Experience with Infrastructure as Code and container infrastructure

  • Deep Linux internals knowledge (kernel tuning, memory management) and networking (TCP/IP, CNI, load balancers, eBPF)

  • Experience operating datastores (e.g., PostgreSQL, Redis) and messaging systems (e.g., Kafka, NATS) in scalable environments

  • Strong troubleshooting mindset and drive to automate improvements based on learnings from incidents

Benefits

  • Attractive compensation

  • 30 days of vacation

  • Time and place flexibility

  • Sport, mobility, and health offers

  • Individual training and development opportunities

  • Company vehicle for private use including a fuel card

  • Supportive open-source community and modern IT equipment

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