Public summary
Join a leading AI and data analytics company as a Senior Site Reliability Engineer to help build and maintain a next-generation cloud platform serving thousands of users. The role involves automating deployment and operations of large-scale SaaS systems using cloud technologies such as AWS and Azure, Kubernetes, and Infrastructure as Code tools. You will work closely with engineering teams to ensure platform reliability, scalability, and operational excellence.
Location and work setup
- Location
- Berlin, Constance
- Remote status
- Hybrid
- German requirement signal
- No German Required Detected
- Detected job language
- English
Responsibilities
Automate deployment and operations of large-scale SaaS systems using code; develop infrastructure as code with Helm, Terraform, CloudFormation, or Azure ARM; participate in on-call rotations and incident troubleshooting with root cause analysis; set and enforce standards for reliability, scalability, traceability, and monitoring; collaborate with product and engineering teams to drive adoption of operational standards; instrument systems for performance, reliability, and cost effectiveness; lead planning and manage dependency risk across teams.
Qualifications
Current certifications in cloud platforms such as AWS, Kubernetes, Linux or similar; strong experience with AWS and/or Azure including VPC, IAM, EKS, ECR, EC2, S3, RDS, CloudWatch; experience deploying software in Kubernetes environments; scripting skills in Python and Shell (Go and Java a plus); systems-level Linux knowledge; expertise in networking, security, routing, load balancers, and firewalls; understanding of telemetry best practices including metrics, distributed logging, and tracing; working knowledge of OAuth/OIDC providers like Keycloak; familiarity with relational databases such as Postgres; excellent communication skills and ability to work independently and in teams.