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Senior Software Engineer, Crusoe Container Registry

Crusoe
CompanyCrusoe
CategoryEngineering
LocationSan Francisco
RemoteOn-site (inferred)
EmploymentNot stated
LevelSenior
SalaryNot stated by the employer
Posted13 Jul 2026
Last verified12 Aug 2026
SourceEmployer ATS (ashby)
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Description
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 the Role: We're looking for a Senior Software Engineer to help make Crusoe Cloud's container registry fast and reliable as the platform grows. The registry sits on the critical path of every deployment and job launch on our platform, and its performance directly affects how quickly customer workloads come online. You'll own core services of the registry, drive its scaling roadmap, and be accountable for how it performs, degrades, and recovers in production. This is a full-time position. What You'll Be Working On: - Build at scale: Own the core services behind Crusoe Cloud's managed container registry, serving the images that training and inference workloads run on. - Ship end-to-end: Take strategic, high-impact components from design through production, and stay accountable for their scalability, reliability and maintainability. - Push performance limits: Drive performance improvements, squash bottlenecks, get ahead of demand before it arrives. Make the architecture tradeoffs that keep the system dependable as it grows. - Stay hands-on: Guide the team through architecture decisions and design and code reviews, while remaining actively involved in the codebase to tackle complex challenges. - Influence beyond your team: Shape technical designs within the team and across adjacent ones. Drive dialogue with product and platform partners to align on priorities and system trade-offs. What You'll Bring to the Team: - Distributed systems at scale: You have proven success designing, scaling, and hardening distributed systems, all while keeping them reliable under high-load production environments. - A performance-driven mindset: You have practical experience profiling, benchmarking, and optimizing distributed systems, with sound judgment about latency, throughput, caching, and resource tradeoffs. - Thrive in ambiguity: You thrive on transforming ambiguous performance problems into measured action and durable fixes. You work ahead of demand, identifying constraints before they reach customers. - A track record of ownership: You've led complex projects from design through deployment, carried them in production, and made difficult calls under visible risk and conflicting requirements. - A customer-centric mindset: You keep the customers top of mind, and you can translate their needs into actionable changes in the codebase. - Technical & infrastructure proficiency: You have strong fundamentals in microservices and cloud-native infrastructure technologies (Docker, Kubernetes, Terraform) alongside languages like Go, Rust, Java, or C++. - Collaboration and communication: You are comfortable working across functions to align on priorities and to explain technical tradeoffs clearly to technical and non-technical partners alike. - Mento