Senior Site Reliability Engineer / SRE – Kubernetes & Hybrid Cloud (m/f/d)

FACT-Finder

Berlin

Hybrid

EUR 110.000 - 150.000

Vollzeit

14 Tage+
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Benefits dieser Stelle

Hybrid work model
Flexible work policy
AI-driven environment

Zusammenfassung

FACT-Finder in Berlin offers a hybrid SRE role shaping a modern private cloud on Kubernetes and Harvester. You will own reliability topics for the product discovery platform used by thousands of European merchants, while two system administrators manage the hardware in Pforzheim.

Join a growing team that values automation, on-call discipline, and data‑driven decisions. You’ll collaborate with developers across Europe to improve SLOs, observability, and cost efficiency, with an exciting path

Qualifikationen

  • Kubernetes in production – set up and maintain clusters on own servers.
  • SRE practice with SLOs, error budgets, incident management, on-call.
  • GitOps automation with Argo CD or Flux.
  • Observability with metrics, logs and traces you trust.
  • Automation mindset to fix root causes, not toil.
  • Collaborative mindset: serve developers with open trade-offs.

Aufgaben

  • Define and own SLOs, SLIs and error budgets; data-driven reliability decisions.
  • Lead end-to-end incident response with blameless postmortems.
  • Eliminate toil via automation and GitOps; improve observability.
  • Contribute to building a Kubernetes operator (CRDs) for declarative clusters.
  • Plan capacity, performance and cost across on-prem and cloud, with AI tooling where beneficial.

Kenntnisse

Kubernetes in production
SRE best practices
GitOps/Automation
Observability
Automation mindset
Collaborative mindset

Tools

Argo CD
Flux
Harvester
KubeVirt
Longhorn
Ceph
OpenStack
vSphere/ESXi
Kubernetes operators/CRDs

Jobbeschreibung

Introduction

At a glance

  • Location &workmodel:Berlin, hybrid
  • 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
  • Languages:Fluent English required; German is a plus, not a must

Why this role is special

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 – 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 – and you won't do it alone, a Team Lead SRE hire is coming next.
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 – 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.

Your first 90 days

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
Your profile

Must-haves:

  • 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 experienceisn'tenough for this role
  • Lived SRE practice: SLOs, error budgets, incident management,on-call
  • Hands‑on experience withGitOpsor 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.

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 – 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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