Site Reliability Engineer: Scale Kubernetes & AI Ops

Swissquote; Gland; On-site; CHF 120,000 - 180,000; Full time

Job summary

Swissquote in Switzerland is seeking a Site Reliability Engineer to join our Cloud Operations team. You will migrate and modernize production apps on Kubernetes, improve reliability, and help operate service mesh platforms.

You will collaborate with software and IT engineers to enhance performance, implement canary deployments, and define SLOs/SLIs to guide improvements while expanding observability and exploring AI-assisted tooling.

Qualifications

• Minimum 3 years in SRE/DevOps or similar production-focused role.
• Hands-on production workloads on Kubernetes (OpenShift/EKS or similar).
• Experience with service meshes like Istio or Linkerd.
• Strong Linux and networking fundamentals.
• Experience with GitOps and modern deployment strategies.
• Observability experience (Prometheus, Grafana, Elastic/OpenTelemetry).

Responsibilities

• Migrate and modernize production applications on Kubernetes.
• Integrate third-party software into production platforms.
• Collaborate with Software/IT Engineers to improve reliability and performance.
• Design and operate applications on service mesh platforms.
• Implement canary releases and progressive rollouts.
• Define SLOs, SLIs and operational KPIs and drive improvements.
• Improve observability across metrics, logs and traces.
• Explore AI tools to aid troubleshooting and remediation.
• Test system behavior under load and failures.
• Automate repetitive operational tasks where sensible.
• Provide Level-3 support and participate in on-call rotation.

Skills

Fluent English

French conversation

Problem solving

Automation mindset

Team collaboration

Tools

Kubernetes

Helm

Istio

Argo CD

Terraform

Job description

Swissquote in Switzerland is seeking a Site Reliability Engineer to join our Cloud Operations team. You will migrate and modernize production apps on Kubernetes, improve reliability, and help operate service mesh platforms.

You will collaborate with software and IT engineers to enhance performance, implement canary deployments, and define SLOs/SLIs to guide improvements while expanding observability and exploring AI-assisted tooling.