Member of Technical Staff (MTS) (Software Engineering)

Join our Platform Engineering team as a Member of Technical Staff (MTS) in Software Engineering. You will build and operate core platform services in Go and Python, contribute to continuous deployment pipelines, and learn to operate Kubernetes at scale. Your success will be measured by your contributions to the reliability, scalability, and developer experience of our multi-cloud platform.

• Contribuer à la construction et à la maintenance des services de plateforme et de l'automatisation en Go et Python pour gérer les clusters Kubernetes.
• Participer aux initiatives de flotte telles que l'automatisation du cycle de vie des clusters, les mises à niveau, l'application des politiques et les améliorations de l'observabilité.
• Collaborer avec les équipes SRE, de sécurité et d'ingénierie produit pour comprendre leurs besoins et aider à fournir des capacités de plateforme en libre-service.
• Hands-on experience with Claude Code or other agentic coding tools — building agentic workflows, custom commands, or MCP integrations is a strong plus; any track record of being an AI amplifier stands out even more
• Experience with GCP, OCI, or Azure beyond AWS, especially managing Kubernetes (GKE, OKE, AKS) across providers
• Exposure to compliance-driven environments (FedRAMP, SOC 2) and sound security and change-management practices
• Strong communication and collaboration skills, and an eagerness to learn and grow within a fast-moving platform team
• 2 - 4 years of professional experience in cloud infrastructure engineering and continuous deployment
• Familiarity with GitOps using Flux or Argo CD, and infrastructure-as-code with Pulumi (or comparable tooling such as Terraform)
• Hands-on Kubernetes experience — deploying, troubleshooting, and automating workloads or clusters (networking, scaling, upgrades)
• Good programming skills in Golang and/or Python, with experience building services, CLIs, or automation tooling
• Multi-cloud exposure, primarily AWS, with a working understanding of core compute, networking, IAM, and managed Kubernetes services
• Demonstrated AI literacy and an emerging agentic mindset — you actively use AI tools in your daily engineering work (code generation, debugging, documentation, automation) and can speak to how AI has amplified your output
• Exposure to internal developer platforms (IDPs), platform APIs, or developer experience tooling
• Familiarity with policy-as-code (Kyverno, OPA/Gatekeeper), supply-chain security (cosign, SBOM), or artifact/registry governance
• Contributions to open-source cloud-native projects (CNCF ecosystem)