Senior Site Reliability Engineer (Python/Kubernetes)

We're building a Cloud Observability platform for market leading large Germany based company with 440,000 customers worldwide.

Originally known for leadership in enterprise resource planning (ERP) software, the company has evolved to become a market leader in end-to-end enterprise application software, database, analytics, intelligent technologies, and experience management. A top cloud company with 200 million users worldwide, the company helps businesses of all sizes and in all industries to operate profitably, adapt continuously, and achieve their purpose.

Responsibilities

• Independently resolve L3 operational issues using engineering expertise, AI tooling, and purpose-built automations
• Build and maintain AI agents for L1 & L2 automated operations
• Develop automation solutions that reduce manual operational effort
• Participate in development tasks for run-operation
• Monitor platform availability and manage incident response/resolution by severity (P1/P2/P3)
• Perform root cause analysis and determine if issues require code-level fixes
• Participate in 24x7 shift rotation during weekdays and on-call on weekends

Mandatory Skills

• Python
• Security Monitoring & Observability
• Telemetry

Mandatory Skills Description

• Strong Python development skills for automation and AI agent development
• Kubernetes administration and troubleshooting
• Experience with observability and monitoring platforms (Grafana, Prometheus, Jaeger, Splunk)
• Incident management experience with severity-based response processes (P1/P2/P3)
• CI/CD pipeline experience (GitHub Actions, ArgoCD)
• Experience with AI/ML concepts for building intelligent automation
• Strong root cause analysis skills
• Willingness to work in 24x7 shift rotation

Nice-to-Have Skills Description

• Experience with Generative AI / LLM for operational automation
• Knowledge of OpenTelemetry and Kafka
• Experience with OpenSearch / Elasticsearch