FACT-Finder builds product discovery technology for eCommerce and is trusted by leading online shops across Europe. We are modernizing our hosting toward Kubernetes on Harvester, with an on-prem hybrid model and the option to scale to the cloud in the mid-term. As Team Lead Site Reliability Engineering, you own the reliability, scalability, and cost of our hosting environments and lead the team that delivers this transformation.

Your mission: Own the operational health of our hosting across on-premise locations (including Frankfurt and Stockholm) and cloud—ensuring availability, performance, and incident management. Actively drive the modernization toward Kubernetes on Harvester, focusing on cluster topology, storage (Longhorn), networking, backup, and disaster recovery. Build a production-grade Kubernetes platform: lifecycle management, upgrades, RBAC, secrets, GitOps (Argo CD / Flux), observability, and policy guardrails. Shape the NG Search Operator and solve auto-scaling (HPA, VPA, KEDA, cluster autoscaler) for the current architecture. Define our on-prem hybrid model: which workloads run where, how we burst into the cloud, and how we keep latency and cost under control while keeping the architecture portable for a potential cloud-only move. Own capacity planning and hosting cost as a deliberate lever. Lead and develop our 4-person Hosting team, own performance and technical direction, and instill standards and ownership culture. Integrate AI into daily operations: diagnosis, automation, monitoring, and insight.

FACT-Finder builds product discovery technology for eCommerce and is trusted by leading online shops across Europe. We are modernizing our hosting toward Kubernetes on Harvester, with an on-prem hybrid model and the option to scale to the cloud in the mid-term. As Team Lead Site Reliability Engineering, you own the reliability, scalability, and cost of our hosting environments and lead the team that delivers this transformation.

Your mission: Own the operational health of our hosting across on-premise locations (including Frankfurt and Stockholm) and cloud—ensuring availability, performance, and incident management. Actively drive the modernization toward Kubernetes on Harvester, focusing on cluster topology, storage (Longhorn), networking, backup, and disaster recovery. Build a production-grade Kubernetes platform: lifecycle management, upgrades, RBAC, secrets, GitOps (Argo CD / Flux), observability, and policy guardrails. Shape the NG Search Operator and solve auto-scaling (HPA, VPA, KEDA, cluster autoscaler) for the current architecture. Define our on-prem hybrid model: which workloads run where, how we burst into the cloud, and how we keep latency and cost under control while keeping the architecture portable for a potential cloud-only move. Own capacity planning and hosting cost as a deliberate lever. Lead and develop our 4-person Hosting team, own performance and technical direction, and instill standards and ownership culture. Integrate AI into daily operations: diagnosis, automation, monitoring, and insight.