Data Site Reliability Engineer (m/f/d)
- Frankfurt (50%) and Remote
- Start: 01.07.2026 (ASAP)
- 2 weeks ago
- Job type:
- Project
- Duration:
- 31.12.2026 + Option
- Scope of work:
- full-time - (100%)
- Languages:
- German, English
ID: 178981
Westhouse is one of the leading international recruitment agencies for the procurement of highly qualified experts in fields such as IT lifecycle management, SAP, engineering, commerce and specialist consultancy.
For our client we are currently looking for a Data Site Reliability Engineer (m/f/d) - Frankfurt (50%) and Remote.
Your tasks
- Support CI/CD pipelines and ensure operational readiness for deployments
- Validation of deployment artifacts from an operations perspective.
- Defining and enforcing quality assurance measures (e.g. required documentation of standard operation procedures, successful test reports, …) to ensure the high quality of delivered products and services.
- Ensuring rollback strategies and operational monitoring (observability) are in place for production deployments.
- Ensure operational stability and responsiveness for the managed Kubernetes platform
- Monitoring system health, performance metrics, and service availability across multi-tenant environments.
- Identifying, analyzing, and resolving incidents, minimizing service disruption.
- Triggering root cause analysis and implementation of corrective and preventive actions.
- Reduce operational toil and improve service reliability
- Address recurring operational issues by automating remedial standard operations processes
- Validate all automated procedures following the established software development lifecycle including staging, testing, and validation reviews
- Ensure platform operations adhere to security and compliance standards
- Implementing monitoring and logging strategies to support audit and compliance requirements.
- Performing routine security scans and remediating identified vulnerabilities.
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Your qualifications
- Proven operations experience with managed Kubernetes clusters, and productive applications or systems in on premise environments on kubernetes
- Operational experience with with various relational and non-relational data technologies (e.g. PostgreSQL, Kafka, etc.)
- Profound knowledge and implementation experience with CI/CD processes, tooling (e.g. GitLab, Jenkins, Tekton, Argo Workflows, and Argo CD), concepts and associated quality and security assurance for software delivery
- Fundamental understanding of core operations processes (incident management, change management, problem management, IT Service Management) as well as SRE concepts
- Experience in gathering operational insights from monitoring or observability including SLI/SLA/SLO management and tracking.
- Hand-on experience in documenting procedures properly and enforcing clear runbooks or playbooks.
- Hands-on experience with monitoring and logging tools (e.g., Prometheus, Grafana, Datadog, Mimir, Loki).