METRO AG - Senior Data Engineer - Site Reliability

Job Description :

We are looking for :

An experienced SRE & DevOps Engineer with deep expertise in cloud infrastructure, automation, and observability.

A hands-on engineer who ensures reliability, performance, and scalability of systems.

A proactive problem solver with a strong focus on operational excellence and continuous improvement.

A collaborator who bridges development and operations through modern DevOps and SRE practices.

An effective communicator who thrives in cross-functional teams and drives best practices.

This role matters to us :

The Senior SRE & DevOps Engineer plays a vital role in ensuring the resilience, scalability, and reliability.

By applying modern SRE principles, automation, and incident management practices, you will enable faster, more reliable delivery of business value while safeguarding system stability and customer trust.

Key Responsibilities :

- Set up and maintain observability solutions, including monitoring, alerting, logging, and tracing (e.g., Prometheus, Grafana, ELK, DataDog).

- Continuously improve CI/CD pipelines and automate deployment workflows to increase delivery efficiency.

- Lead structured incident response, root cause analysis, and drive a culture of post-mortem learning.

- Collaborate closely with developers, QA, and architects to ensure seamless integration and performance optimization.

- Apply SRE principles (SLIs, SLOs, SLAs, error budgets) to guide operational decisions and system reliability.

- Champion Infrastructure-as-Code practices using Terraform, Helm, or Ansible.

- Ensure security, compliance, and reliability are embedded into operations.

- Mentor team members and foster a culture of operational excellence and continuous improvement.

Qualifications :

- Hands-on expertise with Kubernetes (preferably GKE), Docker, and service mesh technologies like Istio.

- Strong background in CI/CD practices and tools (GitHub Actions, Jenkins X, ArgoCD, or similar).

- Experience with observability solutions (Prometheus, Grafana, ELK, Jaeger, DataDog, GCP Dashboards).

- Proficiency with at least one major cloud platform (GCP, AWS, Azure).

- Scripting or programming experience (Python, Go, Bash, or similar).

- Practical knowledge of Infrastructure-as-Code tools like Terraform, Helm, or Ansible.

- Hands-on experience managing incidents, troubleshooting, and performing root cause analysis.

- Familiarity with SRE practices (SLIs, SLOs, SLAs, error budgets).

Other Requirements :

- Ability to balance short-term operational needs with long-term scalability and system health.

- Analytical and proactive mindset with focus on continuous improvement.

- Fluency in English (written and spoken).

Nice-to-Have :

- Knowledge of cost optimization and cloud governance practices.

- Familiarity with Camunda/CIB7 environments.

- Contributions to open-source DevOps/SRE communities.