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# Site Reliability Engineer

- **Company:** deepset
- **Location:** Berlin, Germany (Remote available)
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Amazon Web Services, Software as a Service, Continuous Integration, Software Debugging, Github, Machine Learning, Reliability Engineering, Site Reliability Engineering Practices, Prometheus, Service-Oriented Architecture, Private Cloud Environment, Datadog, Large Language Models, Kubernetes, Terraform
- **Published:** June 17, 2026
- **Apply:** https://de.indeed.com/viewjob?jk=d9b15eb493459040

## About the Role

Do you have experience in Terraform?, Do you have a Master's degree?, * 2-5 years of experience working with large-scale production infrastructure

 * Experience with distributed or service-oriented architectures
 * Hands-on expertise with:
 + AWS
 + Kubernetes
 + CI/CD and GitOps (e.g. ArgoCD)
 * Working knowledge of Infrastructure as Code (Terraform preferred)
 * Solid troubleshooting skills - you can debug across systems, not just within one layer
 * A pragmatic mindset: you balance speed, simplicity, and reliability
 * Ownership and accountability - you take responsibility for systems end-to-end
 * Ability to work independently while staying aligned with the team's goals

Nice to have

 * Familiarity with observability stacks (e.g. Datadog, Prometheus)
 * Experience optimizing cloud costs at scale
 * Interest or experience in Machine Learning / LLM systems
 * Experience improving developer experience and platform tooling using AI agents
 * Contributions to SRE practices like postmortems, SLIs/SLOs, and reliability engineering culture

## Description

You won't just "keep things running" - you'll help define how our platform is built, deployed, and scaled across cloud and customer environments.

 * Build and operate real-world infrastructure. Design, configure, and evolve infrastructure that runs both in our cloud and inside customer environments (SaaS, private cloud, on-prem).
 * Make self-hosted production-ready. Help us deliver a production-grade, self-hosted platform that can be deployed on any Kubernetes setup in weeks - not months.
 * Drive automation & platform maturity. Improve CI/CD pipelines, GitHub workflows, and GitOps setups so teams can ship faster with confidence.
 * Reduce complexity and cost. Continuously simplify systems and optimize infrastructure spend without compromising performance or reliability.
 * Shape how we build. Champion best practices in reliability, scalability, and security across the organization, not as rules, but as working systems.


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