Job
- Level
- Experienced
- Job Field
- IT, DevOps, Security
- Employment Type
- Full Time
- Contract Type
- Permanent employment
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you will improve the reliability and scalability of microservices on Kubernetes and AWS, build effective monitoring solutions, and automate infrastructure processes using IaC tools like Terraform.
Job Technologies
Your role in the team
- 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.
- Reduce toil with AI-assisted and agentic automation—auto-remediation, self-healing workflows, and LLM-generated runbooks and IaC—rather than hand-crafting one-off scripts, so the team's effort compounds.
- 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.
- Contribute to the security and compliance posture of the platform, partnering with collaborators on controls, evidence, and audit readiness throughout daily reliability work.
- Help set the bar for how the team uses AI in operations - choosing where agentic and LLM-assisted tooling adds real leverage, and where human judgment must stay in the loop.
- Participate in a healthy, sustainable on-call rotation, and help continuously improve our runbooks and operational practices.
- Collaborate across Adobe's global Reliability organization to advance the shared mission of "delivering better software faster."
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Our expectations of you
Education
- A Bachelor's degree or higher in Computer Science, a related field, or equivalent experience. We value demonstrated ability over specific credentials.
Qualifications
- 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.
- Enough programming ability to read, debug, and contribute to services and tooling. These are largely Java/Spring services, so comfort reading and debugging Java is valuable, and Python is a strong advantage for automation and tooling.
- Working knowledge of web services and supporting technologies including HTTP, JSON, REST, and service-to-service networking (e.g., proxies, load balancers, service meshes).
- Exposure to the data stores that enable these services such as MongoDB, Cassandra, or DynamoDB is helpful, 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.
Experience
- 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.
- 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.
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What we offer
- 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.
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Benefits
Health, Fitness & Fun
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Job Locations
This is your employer
Adobe Systems GmbH
Adobe offers an exceptional work environment that has been recognized by reputable organizations worldwide as one of the best companies to work for. At the same time, you will be surrounded by a team of collegial and helpful colleagues who are constantly growing and improving through our unique feedback system.
Description
- Company Type
- Established Company
- Working Model
- Full Remote, Hybrid, Onsite
- Industry
- Internet, IT, Telecommunication
Dev Reviews
by devworkplaces.com
Total
(1 Review)4.0
Workingconditions
4.4Career Growth
3.7Engineering
3.6Culture
4.5
Cloud Reliability Engineer
- Location
- Hamburg
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
