Staff Cloud Platform Engineer

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Staff Cloud Platform Engineer based in the United States. The Staff Cloud Platform Engineer will shape and operate the cloud infrastructure powering advanced energy forecasting products, data pipelines, and AI-driven workloads. In this senior individual-contributor role, you will own critical components of a large-scale Azure and Kubernetes platform while setting technical direction across infrastructure, reliability, and security. You will lead complex infrastructure programs from initial design through deployment, ensuring production systems remain resilient, secure, and cost-efficient. Working closely with engineering, data science, and product teams, you will build scalable platform capabilities that accelerate development and improve operational performance. You will also strengthen observability, automate infrastructure management, and create secure environments for emerging AI agent workloads. This fully remote opportunity offers the chance to influence engineering standards within a globally distributed team working to modernize energy systems and support the energy transition. Accountabilities: You will lead the evolution of cloud infrastructure and platform engineering practices, balancing reliability, security, scalability, and cost efficiency across production environments. Your responsibilities will include: - Kubernetes Platform Engineering: Operate and evolve multiple Azure Kubernetes Service (AKS) clusters supporting production services, workflows, and AI agent workloads. Manage technologies such as Karpenter, Cilium network policies, workload identity, External Secrets, Helm, and ArgoCD. - Infrastructure as Code: Lead the development and maintenance of a large Terraform codebase, including provider upgrades, infrastructure drift reconciliation, reusable module design, and safeguards for reliable infrastructure changes.

- CI/CD and Automation: Maintain and improve GitHub Actions runners and build pipelines, supporting secure, efficient infrastructure deployment through tools such as Atlantis and GitOps-based workflows. - Database Reliability: Operate and improve production data stores, including MySQL Flexible Server and self-managed ClickHouse. Strengthen replication, failover, backup and recovery, capacity planning, and upgrade procedures to maintain reliable data services. - AI Platform Infrastructure: Design secure, isolated, and auditable environments for AI agent workloads and Model Context Protocol (MCP) services. Implement appropriate identity controls, network egress restrictions, observability, and self-service deployment capabilities for internal applications. - Observability and Reliability: Develop the monitoring and observability stack using tools such as OpenTelemetry, Prometheus, Grafana, and Tempo. Maintain alerting rules as code, improve incident detection, and promote service-level objectives and dependable operational practices. - Cloud Cost Optimization: Identify and implement opportunities to reduce Azure infrastructure spending while maintaining performance, reliability, and security. - Incident Management and On-Call: Participate in a globally distributed on-call rotation, lead incident response, conduct blameless postmortems, and support engineering, data science, data engineering, and product teams. - Technical Leadership: Lead multi-month infrastructure initiatives from design documentation and stakeholder alignment through phased rollout, cutover, and cleanup. Establish technical direction and drive improvements across platform engineering. - Mentorship and Documentation: Review code, write design documents, mentor engineers, and document systems and operational procedures to promote knowledge sharing and reduce dependence on individual team members.