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Crusoe's mission is to accelerate the abundance of energy and intelligence. We’re crafting the engine that powers a world where people can create ambitiously with AI — without sacrificing scale, speed, or sustainability. Be a part of the AI revolution with sustainable technology at Crusoe. Here, you'll drive meaningful innovation, make a tangible impact, and join a team that’s setting the pace for responsible, transformative cloud infrastructure. We’re looking for an experienced Production Engineer to design, build, and operate the cloud infrastructure that powers our AI-first compute environment. In this role, you will be responsible for the reliability, scalability, and operational excellence of our production systems. You’ll build automation, guardrails, and resilient platforms that enable engineering teams to move quickly while maintaining strong security, performance, and uptime standards.
Job Responsibility:
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
Requirements:
5–8+ 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
Nice to have:
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 SRE fundamentals including SLOs, incident response, and postmortems
Experience with Spanner, BigQuery, Bigtable, or large-scale data platforms
What we offer:
Restricted Stock Units in a fast growing, well-funded technology company
Health insurance package options that include HDHP and PPO, vision, and dental for you and your dependents
Employer contributions to HSA accounts
Paid Parental Leave
Paid life insurance, short-term and long-term disability