Cloud Reliability Engineer (SRE) (m/f/d)

Improve the reliability, scalability, performance, security, and cost-efficiency of the platform's microservices running on Kubernetes and AWS. Build and maintain strong observability using metrics, logs, traces, dashboards, and meaningful alerting. Use monitoring solutions like Prometheus, New Relic, Grafana, and Splunk. This helps us detect and understand issues before customers do. Own infrastructure-as-code and automated delivery with Terraform, Kubernetes, Helm, ArgoCD, and CI/CD pipelines — keeping infrastructure across AWS repeatable, consistent, reviewable, and auditable. Help grow a shared automation platform that tackles auto-remediation, self-healing workflows, and infrastructure-as-code — where AI accelerates the build, and every contribution compounds the team's capability. Partner with engineering teams, e.g. to forecast capacity based on usage trends or implement new technologies to ensure the platform scales to meet growing demand. Set the bar for how the teams use AI in operations — choosing where agentic and LLM-assisted tooling adds real leverage, and where human judgment must stay in the loop.

We don't expect any single person to check every box. When you bring most of the core skills below and are excited about the rest, we'd love to hear from you.

• Several years of professional experience operating, scaling, or building distributed systems in production (SRE, DevOps, platform, or backend engineering backgrounds all welcome).
• Hands-on production experience with AWS and with container orchestration on Kubernetes (plus tooling like Docker, Helm, and ArgoCD).
• Practical experience with infrastructure-as-code, ideally Terraform, and with modern GitOps based CI/CD workflows.
• Experience with monitoring and observability solutions — for example Prometheus, New Relic, Grafana, or Splunk.
• A modern, AI-forward mindset: you reach for agentic and LLM-assisted tooling to do the work, and you have the judgment to know where it accelerates you and where humans must stay in the loop.
• We expect enough software development experience to read, debug, and contribute to services, automation, and tooling. This includes Python and Golang for our own toolset, but also Java/Spring for the service we support.
• Working knowledge of web services and supporting technologies including HTTP, JSON, REST, and service-to-service networking (e.g. proxies, load balancers, service meshes).
• As a bonus you have experience with data stores that enable these services such as MongoDB, Cassandra, or DynamoDB, as Reliability Engineering manages these together with our Database Reliability team.
• Strong communication and collaboration skills, and a genuine commitment to teamwork, shared ownership, and continuous improvement.
• Professional working proficiency in English. German is a plus, given our Hamburg base, but not required.
• A Bachelor's degree or higher in Computer Science, a related field, or equivalent experience. We value demonstrated ability over specific credentials.

We offer

What we offer You!

• Real impact at scale: your work directly enables millions of users to create and collaborate.
• A global, diverse team that brings different perspectives to hard problems.
• 2–3 on-site team days per week at our Hamburg office at the Fischmarkt, with flexibility to work from home.
• Growth opportunities in a rapidly expanding team, where you can take on more responsibility over time. Not sure if you meet every point? Apply anyway. We care about what you can contribute, not a perfect checklist. Let’s Adobe together

AI Use Guidelines for Interviews:

Our interviews are designed to reflect your own skills and thinking. The use of AI or recording tools during live interviews is not permitted unless explicitly invited by the interviewer or approved in advance as part of a reasonable accommodation. If these tools are used inappropriately or in a way that misrepresents your work, your application may not move forward in the process. At Adobe, we empower employees to innovate with AI — and we look for candidates eager to do the same. As part of the hiring experience, we provide clear guidance on where AI is encouraged during the process and where it’s restricted during live interviews. See how we think about AI in the hiring experience.