You will design and operate the observability infrastructure (logs, metrics, traces, alerts) behind a set of online services, working within a small, tool-agnostic team. Your tasks Design, deploy, and operate observability pipelines for logs, metrics, traces, and alerts Partner with development and platform teams to ship alerting, dashboarding, and integration solutions Build reusable templates and tooling to streamline onboarding, incident response, and analysis Champion observability best practices across teams Build AI-powered tooling to sharpen detection, analysis, and response capabilities Evolve the observability platform iteratively based on internal stakeholder needs What you bring Extensive experience in an SRE, DevOps, or Platform Engineering role Comfortable writing Python and/or Go for tooling and automation Hands-on experience operating open-source observability stacks (logs, metrics, traces, alerting) Working knowledge of Kubernetes and GitOps workflows Practical experience with infrastructure-as-code tools and solid Linux system administration skills English required Conditions Workload: 100 % Work model: On site Option of a permanent position after the assignment if both sides want it What to expect 3–6 months interim, then a permanent position Office-first work model with some flexibility to work from home Technologies Python Go OpenTelemetry Kubernetes ArgoCD Terraform Ansible Puppet ClickHouse Linux #J-18808-Ljbffr
Site Reliability Engineer - Observability in Genève Arbeitgeber: Try&Hire
Try&Hire ist ein hervorragender Arbeitgeber, der innovative Technologien im Bereich der KI und Computer Vision fördert. Unsere offene und kollaborative Arbeitskultur ermöglicht es Ihnen, an spannenden Projekten zu arbeiten und Ihre Fähigkeiten kontinuierlich weiterzuentwickeln. Zudem bieten wir flexible Arbeitszeiten und die Möglichkeit, in einem dynamischen Team zu wachsen, das sich leidenschaftlich für wissenschaftliche Fortschritte in der Bildanalyse einsetzt.
