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Team Lead - Site Reliability Engineering (all genders)

Fact Finder · Berlin

On-siteLeadPosted 23 Aug 2026

What this role requires

5 requirements, read out of the advert rather than guessed from the job title:

Also mentioned, not required: Harvester, English (B2), German. Worth having, but their absence is not what gets a CV filtered out.

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Job description

Introduction FACT-Finder builds product discovery technology for eCommerce and is trusted by leading online shops across Europe with its two products Next Generation and Infinity. We are actively modernizing our hosting toward Kubernetes on Harvester – as an on-prem hybrid with the option to scale fully into the cloud in the mid-term. As Team Lead Site Reliability Engineering (all genders), you own the reliability, scalability, and cost of our hosting environments, drive this transformation end-to-end, and lead the team that delivers it.

Your mission You own the operational health of our hosting across on-premise (Frankfurt, Stockholm) and cloud – availability, performance, and incident management.

You actively drive the modernization toward Kubernetes on Harvester: cluster topology, storage (Longhorn), networking (VLAN, load balancing, ingress), backup, and disaster recovery.

You build a production-grade k8s platform: lifecycle, upgrades, RBAC, secrets, GitOps (Argo CD / Flux), observability, and policy guardrails.

You shape the NG Search Operator (custom Kubernetes operator) and solve auto-scaling (HPA, VPA, KEDA, cluster autoscaler) for the current architecture.

You concretely define our on-prem hybrid model: which workloads run where, how we burst into the cloud, how we keep latency and cost under control – while keeping the architecture portable enough for a future cloud-only move.

Read the full description (23 more sections)

You own capacity planning and hosting cost and turn cost into a deliberate, managed lever.

You lead and develop our currently 4-person Hosting team, own performance and technical direction, and set the standards and ownership culture.

You make AI a core part of our operations: diagnosis, automation, monitoring, and insight.

Your profile Strong background in infrastructure or platform engineering across on-premise and cloud.

Hands-on depth with Kubernetes in production: cluster lifecycle, upgrades, networking, storage, RBAC, observability, GitOps delivery.

Proven people leadership experience, excellent communication and stakeholder management skills.

Ideally practical experience with Harvester or comparable HCI/virtualization platforms (KubeVirt, vSphere/ESXi, OpenStack).

Experience leading a real migration from bare metal / classic VMs to a k8s-based platform – including stateful workloads, storage migration, cutover, and rollback.

Comfort designing or operating Kubernetes operators (custom controllers / CRDs), ideally for stateful systems like search, databases, or streaming.

Solid grasp of auto-scaling primitives (HPA, VPA, cluster autoscaler, KEDA) and how they interact with capacity planning on-prem and in the cloud.

Experience with on-prem hybrid architectures and owning reliability, capacity, and cost for production systems.

Hands-on fluency with AI tools in day-to-day operations.

Fluent English; German is a plus.

THE JOY OF WORKING WITH US Impact from day one: Your work directly influences the revenue of leading eCommerce brands across Europe.

Leadership with real scope: You lead an established team and shape our platform in a decisive phase of our transformation.

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 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.

Attractive benefits: Competitive salary, modern equipment, learning budget, and regular team events.

Job Location Berlin, Munich, Pforzheim or Stockholm (hybrid)

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