Verified current Job

Team Lead - Site Reliability Engineering (all genders)

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 Ha...

Job Full source details
Fact Finder Careers Berlin Source published Jul 28, 2026 Verified 2 weeks ago
✓ 92% verification score · Source: Fact Finder Careers · Always confirm final requirements on the original source.
Complete source information imported The available role or programme description, requirements, benefits and source facts were imported from the public official endpoint and formatted for reading.
EmploymentPermanent · Full Time
DepartmentTechnology and Strategy

Overview

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.

Full 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.
  • 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.

Qualifications And Requirements

  • 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)

Requirements & qualifications

  • 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.

Tips for this job

Practical Job and Scholarship guidance. These tips do not replace official rules or create new eligibility requirements.

  1. Tailor the CV and application to the responsibilities and required skills stated on the official employer page.
  2. Use concrete evidence of relevant work, projects and measurable results rather than generic claims.
  3. Confirm location, work authorization, remote restrictions and sponsorship terms before applying.
  4. Apply through the original employer or official recruitment destination shown on this page.

Verification notes

Discovered directly from the employer’s published Personio open-positions XML feed. All public jobDescriptions sections were normalized into complete candidate-facing content.

Original authoritative source

Job and Scholarship is the discovery and verification layer. Confirm eligibility, dates, salary/funding and application instructions on the original source before submitting anything.

Fact Finder Careers ↗

Browse current Job and Scholarship listings from Fact Finder Careers →

More ways to save

Discover deals, coupons and free courses on our sister site.

Explore DealVorio
Save more with DealVorio: deals, coupons, free courses, apps and books