Senior Site Reliability Engineer (all genders)

Fact Finder · Berlinsenior

En corto

▸Ingeniero SRE senior que garantiza confiabilidad y escalabilidad en una plataforma híbrida con Kubernetes y Harvester.
▸Se encarga de SLOs, gestión de incidentes, automatización con GitOps y uso de IA para operaciones.
▸Destacado: Trabajo con IA en operaciones diarias y transformación hacia SaaS con enfoque en innovación tecnológica.

Fluent English; German is a plus.

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¿Qué piden?

✓Experiencia en SRE, infraestructura o ingeniería de producción en entornos SaaS o plataforma.
✓Conocimiento sólido de SLOs, error budgets, gestión de incidentes y observabilidad.
✓Experiencia práctica con Kubernetes, GitOps (Argo CD/Flux) y operadores personalizados.
✓Interés o experiencia con plataformas HCI como Harvester, KubeVirt, vSphere o OpenStack.
✓Capacidad para automatizar tareas y reducir toil mediante soluciones estructuradas.
✓Experiencia práctica usando herramientas de IA en operaciones diarias.

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KubernetesHarvesterGitOpsArgo CDFluxHPAVPAKEDACluster AutoscalerLonghorn

¿A quién escribirle en Fact Finder?

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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. Both products are moving toward a modern, hybrid 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 make sure our systems stay fast, available, and scalable throughout this transformation. You work closely with the Hosting team and experienced engineers, and actively shape our journey toward a modern SaaS company. Your mission You 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. g. Argo CD / 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-premise (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 Experience as an SRE, infrastructure, or production engineer in a SaaS or platform environment – or a strong software/operations background with a clear drive to grow into an SRE role. Solid understanding of SLOs, error budgets, incident management, and observability. Hands-on experience with Kubernetes and interest in cluster lifecycle, upgrades, and operator patterns. Experience with or strong interest in Harvester or comparable HCI/virtualization platforms (KubeVirt, vSphere/ESXi, OpenStack). Familiarity with GitOps (Argo CD / Flux), container storage (Longhorn, Ceph), and Kubernetes networking (load balancing, ingress). Knowledge of auto-scaling primitives (HPA, VPA, cluster autoscaler, KEDA) and capacity planning on-prem and in the cloud. Understanding of networking in production-grade datacenters (incl. VLAN). A strong automation instinct and a mindset to structurally eliminate toil. Practical experience using 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. 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.

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