Public summary
A technology company is seeking a (Senior) Site Reliability Engineer to join their team in Berlin or Konstanz. The role focuses on building, operating, and scaling a next-generation cloud platform with high reliability, security, and cost efficiency. The engineer will collaborate with multiple development teams to deploy and maintain production-ready SaaS systems, leveraging Infrastructure as Code and cloud technologies such as AWS and Azure. The position involves on-call rotations, incident management, automation, and driving operational standards across teams.
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 using tools like Helm, Terraform, Amazon CloudFormation, and Azure ARM. Participate in on-call rotations for incident triage, troubleshooting, root cause analysis, and resolution. Set and promote standards for product deployment regarding reliability, scalability, traceability, and monitoring. Instrument systems for performance, reliability, and cost effectiveness. Collaborate with product and engineering teams to ensure production readiness and operational excellence at scale.
Qualifications
Current certifications in cloud platforms such as AWS, Kubernetes, or Linux. Strong experience with AWS and/or Azure cloud providers, including knowledge of VPC, IAM, EKS, ECR, EC2, S3, RDS, and CloudWatch. Experience deploying software systems to Kubernetes clusters and understanding Kubernetes concepts. Proficiency in scripting with Python and Shell; Go and Java are pluses. Systems-level knowledge of Linux and networking including security, routing, load balancing, and firewalls. Familiarity with service telemetry best practices, OAuth/OIDC identity providers like Keycloak, and relational databases such as Postgres. Effective communicator able to work independently and within distributed teams.