Staff Production Engineer, Cloud Infrastructure

Staff Production Engineer, Cloud Infrastructure Crusoe is on a mission to accelerate the abundance of energy and intelligence. As the only vertically integrated AI infrastructure company built from the ground up, we own and operate each layer of the stack — from electrons to tokens — to power the world's most ambitious AI workloads. When you join Crusoe, you join a team that is building the future, faster. We're in the midst of the greatest industrial revolution of our time. The demand for AI compute is boundless, and power is a bottleneck. We're solving that — with an energy-first approach that makes AI infrastructure better for the world and faster for the people innovating with AI. We're looking for problem-solving, opportunity-finding teammates with a sense of urgency, who believe in the scale of our ambition and thrive on a path not fully paved — people who want to grow their careers alongside a team of experts across energy, manufacturing, data center construction, and cloud services. If you want to do the most meaningful work of your career, help our customers and partners advance their AI strategies, and be part of a high-performing team that believes in each other, come build with us at Crusoe. ABOUT THIS ROLE: We’re looking for a Staff Production Engineer to lead the design and operation of critical components within our cloud platform powering our AI-first compute environment. In this role, you will own reliability, scalability, and operational excellence across a defined infrastructure domain while partnering closely with other engineers to evolve broader platform strategy. You’ll combine deep hands-on execution with leadership, helping raise the bar for production engineering practices across the organization. WHAT YOU’LL BE WORKING ON: - Design, build, and manage core cloud infrastructure across compute, networking, storage, and IAM - Architect, operate and scale Kubernetes-based platforms - Deploy and manage Kubernetes workloads using Helm charts and continuous deployment systems - Help operate the observability platforms for cloud and Kubernetes workloads using tools such as VictoriaMetrics and Grafana - Develop and maintain Terraform modules to define automated, auditable, and secure cloud environments - Own VPC design, routing, load balancers, interconnects, peering, and network security boundaries - Implement policies and guardrails across IAM, resource hierarchy, service accounts, and VPC-SC - Build automation for provisioning, lifecycle management, and blue/green or canary deploy patterns - Partner closely with security and platform teams on monitoring, logging, compliance, and operational readiness - Optimize cloud costs, quotas, and capacity planning across multiple projects and regions - Troubleshoot complex production issues across compute, storage, and networking layers WHAT YOU’LL BRING TO THE TEAM: - 7-10 years operating large-scale production workloads on major cloud providers such as GCP or AWS - Deep knowledge of GCE, Kubernetes in general and GKE in particular, VPC networking, load balancers, firewall rules, interconnect, and GCS - Strong experience managing Kubernetes workloads and authoring Helm Charts - Strong Terraform experience and a track record of building automated multi-environment infrastructure - Hands-on experience with Kubernetes internals, workload orchestration, scaling, and observability - Ability to debug complex distributed systems across compute, storage, and network boundaries - Strong cloud security fundamentals, including least privilege, secrets management, and policy enforcement - Proficiency with Python, Go, or Shell for automation and tooling - Experience influencing design decisions and partnering with cross-functional teams BONUS POINTS: - Experience supporting high-performance or AI/ML workloads in GCP - Familiarity with service mesh, or multi-cluster Kubernetes operations - Background in hybrid or multi-cloud infrastructure - Strong ... (truncated, view full listing at source)