Amperon - Staff Cloud Platform Engineer

• Shape our Kubernetes platform. Run and evolve several AKS clusters (production, workflow, and AI/agent workloads) with Karpenter, Cilium network policy, workload identity, External Secrets, Helm and ArgoCD. • Shape our Kubernetes platform. • Lead infrastructure-as-code at scale. Drive our Terraform estate, run through Atlantis: provider upgrades, drift reconciliation, module design and guardrails that keep changes safe, plus the GitHub Actions runners and build pipelines that ship them. • Lead infrastructure-as-code at scale. • Make our data stores resilient. Our customers depend on forecasts every hour, so reliable data is core to the product. Operate MySQL Flexible Server and self-managed ClickHouse with resilience first: replication, failover, backup and restore, capacity planning and safe upgrades. • Make our data stores resilient. • Build the platform for AI agents. Design isolated, auditable environments for agentic workloads and MCP services, including egress controls, identity and observability, and a self-service path for teams to deploy internal apps safely. • Build the platform for AI agents. • Make the platform observable. Evolve our observability stack (OpenTelemetry, Prometheus, Grafana, Tempo), keep alert rules in code, and make sure we hear about problems before customers do. • Make the platform observable. • Manage cloud cost. Find and land Azure savings; we have cut tens of thousands of dollars a month and expect more. • Manage cloud cost. • Multiply the team. Write design docs, review code, mentor engineers, and leave systems documented so no one person is a single point of failure. • Multiply the team. • We Think This Role Would Be A Great Fit If You Have • 8+ years in infrastructure, platform or site reliability engineering, including several years at a senior level owning production systems. • A track record of leading multi-month infrastructure programs end to end: design doc, stakeholder alignment, phased rollout, cutover and cleanup. • Deep, hands-on Kubernetes experience in production, ideally on a managed offering (AKS, EKS or GKE), including networking and network policy. • Strong Terraform skills on a large codebase, with GitOps-style workflows (Atlantis, ArgoCD or similar). • Production experience with at least one major cloud. Azure is strongly preferred; deep AWS or GCP experience with a willingness to go deep on Azure also works. • Experience operating relational or analytical databases in production (MySQL, PostgreSQL, ClickHouse or similar), including replication, upgrades and recovery. • Security built into how you work: least privilege, identity-based access over static credentials, secrets management, and network isolation. • Solid observability practice: metrics, logs and traces (ideally with OpenTelemetry), alerting that people trust, and SLO thinking. • Comfortable writing Python and shell for automation and tooling. • Clear written communication. Much of our work happens in design docs, PRs and async threads across time zones.