Senior Software Engineer, Platform Engineering

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Senior Software Engineer, Platform Engineering in USA new

Crusoe
Full time
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USA
11/03/2026
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Bellevue, WA

Responsibilities

Design, build, and operate microservices that automate cloud fleet provisioning, lifecycle management, and capacity management.
Extend platform services with features that directly support customer-facing delivery.
Translate ambiguous stakeholder requirements into modular designs and drive them to production.
Build on GCP and managed Kubernetes in collaboration with infrastructure and cross-functional teams.
Own the reliability and observability of shipped services.
Lead projects end to end and help raise engineering standards.

Requirements

5+ years of experience building and operating production backend or platform services.
Strong proficiency in at least one backend language such as Go, Python, Java, or C#.
Experience designing microservices and APIs using gRPC or REST in distributed systems.
Hands-on experience with Postgres and event-driven systems such as Kafka.
A track record of leading projects end to end and raising the bar for other engineers.
Preferred experience with GCP, AWS, or managed Kubernetes.
Preferred experience with capacity management, fleet or hardware lifecycle, neocloud or GPU cloud infrastructure, Go, and observability tooling such as Prometheus and Grafana.

Benefits

Industry-competitive pay and Restricted Stock Units.
Health insurance options including HDHP and PPO, plus vision and dental coverage for employees and dependents.
Employer HSA contributions, paid parental leave, paid life insurance, short-term and long-term disability, and Teladoc.
401(k) with a 100% match up to 4% of salary.
Generous paid time off and holiday schedule.
Cell phone reimbursement, tuition reimbursement, Calm app subscription, MetLife Legal, and a company-paid commuter benefit.

Salary: $170k - $205k/yr

Crusoe

As the AI factory company, Crusoe is on a mission to accelerate the abundance of energy and intelligence. The company provides a reliable, scalable, cost-effective, and energy-first solution for AI infrastructure. By harnessing large-scale energy resources, building AI-optimized data centers, and...

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