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# Senior Site Reliability Engineer / SRE - Kubernetes & Hybrid Cloud

- **Company:** FACT GmbH
- **Location:** Berlin, Germany
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, VMware ESX Servers, Octopus Deploy, OpenStack, Reliability Engineering, Prometheus, Virtual Local Area Networks, VMware VSphere, Ceph (Software), Load Balancing, Autoscaling, Grafana, HybridCloud, Git Flow, Kubernetes, Deployment Automation
- **Published:** October 18, 2026
- **Apply:** https://www.careerjet.de/jobad/de7e2f6dd9d961eccc52ae26c502ed61d2

## About the Role

* Languages: Fluent English required; German is a plus, not a must, * Kubernetes in production - 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 - managed-only experience isn't enough for this role
 * Lived SRE practice: SLOs, error budgets, incident management, on-call
 * Hands-on experience with GitOpsor comparable infrastructure/deployment automation - experience with Argo CD or Flux is a strong plus
 * Solid observability skills - metrics, logs, traces, alerting that people trust
 * A strong automation instinct - you'd rather fix a problem's cause than repeat its workaround
 * A collaborative, enabling mindset - 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 - we'll teach you the rest):

 * 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 - in the tech interview we'll ask about what you've actually built and operated.
You don't tick every box - or your title was never "SRE"? Apply anyway. If you've owned production systems, handled incidents and worked deeply with Kubernetes, we want to hear from you - production experience and engineering mindset matter more to us than titles or buzzwords.

## Description

You get to know both products, join the on-call rotation with a buddy, and own your first reliability topic - 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 - 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 - 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 - including the large-catalogue and peak-season loads our merchants care about - and use AI tools wherever they measurably speed up diagnosis and operations, * Tech stack: Kubernetes on our own servers, Harvester (KubeVirt), Argo CD/Flux, Prometheus/Grafana, Longhorn/Ceph
 * Team: A growing SRE team - 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
 * 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 - 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.