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