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Open 13+ days
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- Last checked: still up
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Last checked Nov 1, 2026.
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Not stated: Pay, real vacancy, AI screening.
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Skills mentioned
About the role
Introduction
At a glanceÂ
- Location & work model : Berlin, hybrid
- Tech stack:Â Kubernetes on our own servers, Harvester ( KubeVirt ), Argo CD/Flux, Prometheus/Grafana, Longhorn/Ceph
- Team:Â A growing SRE team â you report to our CTPO for now and to the Team Lead SRE we're hiring next; two system administrators in Pforzheim run the physical hardware
- Process: Intro call · take-home task (~2h) · 90-min tech interview with our developers · leadership conversation · meet the team
- Languages:Â Fluent English required; German is a plus, not a must
Why this role is specialÂ
Most SRE jobs today mean clicking around a managed cloud console. This one doesn't. We run our own hardware in Frankfurt and are building a modern private cloud platform on Kubernetes and Harvester â on-prem by default, with elastic burst into the public cloud and the option to go cloud-only later. You won't inherit a finished SRE practice: you'll help define it, side by side with our Berlin development teams â and you won't do it alone, a Team Lead SRE hire is coming next.Â
SRE here is an enabling discipline: you build what our developers need to ship reliably, while two system administrators in Pforzheim run the physical hardware. And the impact is direct â our product discovery technology powers more than 2,000 European online shops (Intersport, SPAR, Douglas and more), handling billions of shopper queries a year. When product discovery is slow or down, our customers lose revenue in real time.Â
Your first 90 daysÂ
You get to know both products, join the on-call rotation with a buddy, and own your first reliability topic â SLOs for one product, alerting that actually helps at 3 a.m., or automating away a piece of toil. By day 90 you've shipped visible improvements and know where you want to take the platform next.
Your mission
- Define and own SLOs, SLIs and error budgets; drive data-informed reliability decisions
- Lead incident response end-to-end: fast detection, clear communication, blameless postmortems â and reduce whole classes of incidents structurally, not case by case
- Eliminate toil through automation and GitOps; evolve our observability (metrics, logs, traces, alerting, runbooks) across two different stacks
- Help build our custom Kubernetes operator (CRDs) that makes stateful search clusters declarative, self-healing and safely upgradable â and roll out the auto-scaling (HPA/VPA, KEDA, cluster auto scaler) today's architecture makes hard
- Plan capacity, performance and cost across on-premises and cloud â including the large-catalogue and peak-season loads our merchants care about â and use AI tools wherever they measurably speed up diagnosis and operations
Your profile
Must-haves:Â
- Kubernetes in production â built, not just used : you've set up and maintained clusters on your own servers (e.g. kubeadm , RKE2, k3s) and know cluster lifecycle and upgrades â managed-only experience isn't enough for this role
- Lived SRE practice : SLOs, error budgets, incident management, on-call
- Hands-on experience with GitOps or comparable infrastructure/deployment automation â experience with Argo CD or Flux is a strong plus
- Solid observability skills â metrics, logs, traces, alerting that people trust
- A strong automation instinct â you'd rather fix a problem's cause than repeat its workaround
- A collaborative, enabling mindset â you see SRE as a service to our developers: you ask what they need, discuss trade-offs openly, and don't fall in love with your own solution
Nice-to-haves (genuinely optional â we'll teach you the rest):Â
- Harvester, KubeVirt , vSphere/ ESXi , OpenStack or similar virtualization/HCI platforms
- Container storage (Longhorn, Ceph) and datacenter networking (load balancing, ingress, VLAN)
- Auto-scaling (HPA, VPA, KEDA, cluster auto scaler ) and capacity/cost planning
- Experience building Kubernetes operators/CRDs
- German language skills
Certifications (CKA, CKS) are welcome but no substitute for hands-on experience â in the tech interview we'll ask about what you've actually built and operated.Â
You don't tick every box â or your title was never âSREâ? Apply anyway. If you've owned production systems, handled incidents and worked deeply with Kubernetes, we want to hear from you â production experience and engineering mindset matter more to us than titles or buzzwords.
THE JOY OF WORKING WITH US
- Impact from day one: Your work directly influences the revenue of leading eCommerce brands across Europe.
- Modern tech stack: Kubernetes, Harvester, GitOps, auto-scaling, and an exciting path toward the cloud â with room to build things right.
- AI-first mindset: We use AI as a real part of our daily work, not as a buzzword.
- Ownership & growth: Clear responsibility, short decision paths, and the opportunity to actively shape your role.
- Flexible work: Hybrid work model three office days per week with a focus on outcomes.
- Strong team: Experienced engineers, an open feedback culture, and an environment where reliability is treated as a real engineering discipline.
Job Location
Berlin, Munich, Pforzheim or Stockholm (all Hybrid)
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