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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