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# Senior Software Engineer, Platform Engineering

- **Company:** Crusoe's Inc
- **Location:** Sunnyvale, CA, United States
- **Experience:** Expert
- **Salary:** $170,000.0 - $205,000.0
- **Contract:** Permanent contract
- **Skills:** Java (Programming Language), Application Programming Interfaces (APIs), Amazon Web Services, C Sharp (Programming Language), Cloud Computing, Distributed Systems, Python (Programming Language), PostgreSQL, Prometheus, Datadog, Grafana, Backend, Event Driven Architecture, Kubernetes, Apache Kafka, Hardware Asset Management, Grpc, Golang, Microservices
- **Published:** November 3, 2026
- **Apply:** https://www.juju.com/job/16_3a11c70f

## About the Role

* 5+ years 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 (gRPC/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 engineers around you

Bonus Points

 * Experience building on GCP, AWS, or managed Kubernetes
 * Capacity management or fleet/hardware lifecycle experience
 * Neocloud or GPU cloud infrastructure experience
 * Experience with Go
 * Observability tooling (Prometheus, Grafana)

## Description

Crusoe's Platform Engineering team builds the services that automate how we manage our cloud fleet. As a Senior Software Engineer, you'll design and ship modular microservices on top of our underlying infrastructure, turning stakeholder requirements into platform capabilities that directly drive feature delivery and revenue.

What You'll Be Working On

 * Design, build, and operate microservices that automate fleet provisioning, lifecycle, and capacity management
 * Extend existing platform services with new features that directly drive customer-facing delivery
 * Turn ambiguous stakeholder requirements into clear, modular designs and drive them to production
 * Build on GCP and managed Kubernetes, working closely with infrastructure and cross-functional teams
 * Own the reliability and observability of the services you ship