FACT-Finder builds product discovery technology for eCommerce and serves leading online shops across Europe with its Next Generation and Infinity platforms. Both products are moving toward a modern, hybrid SaaS platform based on Kubernetes and Harvester, with the option to scale fully into the cloud in the mid-term. As a Senior Site Reliability Engineer (SRE), you ensure our systems stay fast, available, and scalable during this transformation. You work closely with the Hosting team and experienced engineers and actively shape our journey toward a modern SaaS company. Your mission: define and own SLOs, SLIs, and error budgets across both products and make data-driven decisions on reliability and performance. You drive incident response: fast detection, clear communication, blameless postmortems, and meaningful follow-through. You consistently reduce manual work through automation and GitOps (for example Argo CD and Flux) and build out self-healing and self-service capabilities. You support the development of an NG Search Operator (custom Kubernetes operator / CRDs) and the rollout of auto-scaling (HPA, VPA, KEDA, cluster autoscaler). You evolve our observability—metrics, logs, traces, alerting, and runbooks that actually help on call. You plan capacity and cost across on-prem deployments (Frankfurt, Stockholm) and cloud, including burst scenarios into the public cloud. You leverage AI tools to noticeably accelerate diagnosis, alerting, and operational workflows. Your profile: you have experience as an SRE, infrastructure, or production engineer in a SaaS or platform environ
FACT-Finder builds product discovery technology for eCommerce and serves leading online shops across Europe with its Next Generation and Infinity platforms. Both products are moving toward a modern, hybrid SaaS platform based on Kubernetes and Harvester, with the option to scale fully into the cloud in the mid-term. As a Senior Site Reliability Engineer (SRE), you ensure our systems stay fast, available, and scalable during this transformation. You work closely with the Hosting team and experienced engineers and actively shape our journey toward a modern SaaS company. Your mission: define and own SLOs, SLIs, and error budgets across both products and make data-driven decisions on reliability and performance. You drive incident response: fast detection, clear communication, blameless postmortems, and meaningful follow-through. You consistently reduce manual work through automation and GitOps (for example Argo CD and Flux) and build out self-healing and self-service capabilities. You support the development of an NG Search Operator (custom Kubernetes operator / CRDs) and the rollout of auto-scaling (HPA, VPA, KEDA, cluster autoscaler). You evolve our observability—metrics, logs, traces, alerting, and runbooks that actually help on call. You plan capacity and cost across on-prem deployments (Frankfurt, Stockholm) and cloud, including burst scenarios into the public cloud. You leverage AI tools to noticeably accelerate diagnosis, alerting, and operational workflows. Your profile: you have experience as an SRE, infrastructure, or production engineer in a SaaS or platform environ
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