Site Reliability Engineer - Cloud Operations

In this role, you will:

• Migrate and modernize production applications on Kubernetes,

• Integrate third-party software into our production platforms and make it fit our operational standards,

• Work alongside Software and IT Engineers to improve reliability, performance and operational readiness,

• Design and operate applications on our service mesh platform,

• Integrate safe deployment patterns such as canary releases and progressive rollouts,

• Define SLOs, SLIs and useful operational KPIs, then use them to drive improvements,

• Improve observability across metrics, logs and traces so problems are easier to spot and understand,

• Explore and integrate AI tools that can help with troubleshooting, incident analysis and remediation,

• Test how systems behave under load, during failures and when dependencies disappear,

• Automate repetitive operational work whenever it makes sense,

• Provide Level-3 support and participate in the on-call rotation.

• At least 3 years of experience in SRE, DevOps, Platform Engineering or a similar production-focused role,

• Solid hands-on experience running production workloads on Kubernetes, OpenShift, EKS or a similar Kubernetes platform,

• Good knowledge of Helm and how to package, configure and maintain applications with it,

• Experience working with service mesh technologies such as Istio or Linkerd, or strong Kubernetes networking experience,

• A good understanding of service-to-service networking, traffic routing, mTLS and TLS,

• Experience with GitOps and modern deployment strategies such as canary or progressive delivery,

• A practical understanding of SRE concepts such as SLIs, SLOs and error budgets,

• Experience with observability and tracing tooling such as Prometheus, Grafana, Elastic Stack or OpenTelemetry,

• Strong Linux and networking fundamentals, including TCP/IP, DNS and load balancing,

• Comfortable troubleshooting JVM-based applications in production and able to investigate issues related to heap usage, garbage collection or JVM configuration,

• Comfortable automating things with Python, Go, Bash or another programming language,

• Experience or strong interest in applying AI to observability, incident response or operational automation,

• Experience or a strong interest in operating applications that depend on GPU resources or other AI infrastructure,

• Familiarity with Infrastructure as Code tools such as Terraform, Ansible or Puppet.

Nice-to-Haves

• Experience with Argo CD, Argo Rollouts or Argo Workflows,

• Deeper experience with Istio, Linkerd or Envoy-based service mesh platforms,

• Experience designing or operating Kubernetes platforms at scale,

• Experience running Java or Spring Boot applications in production,

• Hands-on experience tuning JVM applications for performance or low-latency workloads,

• Experience integrating applications with self-hosted AI platforms such as vLLM,

• Experience troubleshooting AI infrastructure integrations, including model access, GPU availability and NVIDIA MIG configurations.

• Knowledge of Cilium, eBPF or other modern Kubernetes networking technologies,

• Experience with public cloud or large private cloud environments,

• CKAD, CKA, CKS or equivalent hands-on Kubernetes experience,

• A homelab, self-hosted services or side projects where you get to experiment, break things and build them again.

Who You Are

• You like understanding why systems behave the way they do, especially when something goes wrong,

• You automate repetitive work instead of accepting it as part of the job,

• You’re comfortable working across development, infrastructure and operations teams,

• You don’t mind getting deep into software you didn’t build yourself,

• You’re curious about AI and where it can genuinely improve day-to-day operations,

• You are fluent in English and have good conversational French,

• You enjoy keeping up with cloud-native technologies and trying new approaches when they solve a real problem.

Please note that Swissquote never requests sensitive personal information or payment of any kind during the recruitment process. Any such request is fraudulent.

SQ2