Senior Engineer, Site Reliability Engineering (SRE)

About the role

We are seeking a Senior Engineer, SRE to design, build, and operate the infrastructure that powers advanced AI-driven products. Based in Germany, you will work across cloud platforms, Kubernetes, networking, and automation to ensure reliable, secure, and scalable systems.

Key responsibilities

• Design, implement, and maintain reliable infrastructure for high‑scale AI workloads.
• Own Kubernetes clusters, including reliability, networking, workload isolation, autoscaling, and deployment patterns.
• Develop and manage cloud infrastructure (networking, security, identity, automation).
• Improve production reliability through observability, monitoring, alerting, incident response, and disaster recovery.
• Create infrastructure‑as‑code and automation to reduce manual effort.
• Enhance CI/CD pipelines, GitOps practices, and progressive delivery mechanisms.
• Optimize resource usage and control infrastructure costs.
• Operate and evolve distributed data systems such as search and database platforms.
• Investigate and resolve complex production issues across application, infrastructure, networking, and data layers.

Required profile

• Strong software engineering background with production‑grade code experience.
• Proven experience designing, building, and operating infrastructure on major cloud providers (GCP, AWS, etc.).
• Hands‑on experience managing production Kubernetes environments.
• Deep understanding of cloud networking and security (VPC, IAM, load balancing, firewalls, WAF, CDN, DNS).
• Experience with infrastructure‑as‑code tools and automated deployment systems.
• Ability to debug complex, multi‑layer issues in large‑scale systems.

Required skills

• Kubernetes
• Google Cloud Platform (GCP)
• Amazon Web Services (AWS)
• Cloud networking (VPC, load balancing, firewalls, WAF, CDN, DNS)
• Identity & Access Management (IAM)
• Infrastructure‑as‑code (e.g., Terraform, Pulumi)
• CI/CD and GitOps
• Observability, monitoring, alerting
• Disaster recovery practices
• Distributed data systems (search, databases)