Senior Production Engineer, Cloud Infrastructure

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.

About This Role:

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.

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:

• 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

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 SRE fundamentals including SLOs, incident response, and postmortems

• Experience with Spanner, BigQuery, Bigtable, or large-scale data platforms
  

Benefits:

• Industry competitive pay

• 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

• Teladoc

• 401(k) with a 100% match up to 4% of salary

• Generous paid time off and holiday schedule

• Cell phone reimbursement

• Tuition reimbursement

• Subscription to the Calm app

• MetLife Legal

• Company paid commuter benefit; $300 per month

Compensation:

Compensation will be paid in the range of $172,000 - $209,000 + Bonus. Restricted Stock Units are included in all offers. Compensation to be determined by the applicant’s education, experience, knowledge, skills, and abilities, as well as internal equity and alignment with market data.

Crusoe is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, disability, genetic information, pregnancy, citizenship, marital status, sex/gender, sexual preference/ orientation, gender identity, age, veteran status, national origin, or any other status protected by law or regulation.