Staff Software Engineer, Crusoe Container Registry
Crusoe
- Location
- San Francisco, CA - US
- Employment
- Full Time
- Work model
- On-Site
- Level
- Staff
- Salary
- $215k – $260k/yr
- Posted
- 1h ago
Skills
About this role
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 Staff 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 the evolution 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: Own the technical direction: Set the architecture and scaling roadmap for Crusoe Cloud's container registry. Establish the patterns and standards the team builds against, and stay accountable for scalability, reliability, and maintainability over the long haul. Ship end-to-end: Drive high impact changes from design through production, and stay accountable for their scalability, reliability and maintainability. Push performance limits: Drive performance strategy across the system and get ahead of demand curves before they reach customers. Make the architecture tradeoffs that keep the registry dependable as it grows. Multiply the team: Raise the team's technical bar through architecture, design, and code review, and through mentorship, while staying hands-on on complex challenges. Make the engineers around you more effective, not just yourself. Drive technical strategy across teams: Influence designs across adjacent teams, align with product and other partners on priorities and tradeoffs, and lead the technical response when things break. 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 set performance strategy and have deep, practical experience profiling, benchmarking, and optimizing distributed systems, with sound judgment about latency, throughput, caching, and resource tradeoffs at scale. 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 system level ownership: You've owned critical systems from design through production and carried them through operational pressure. You've made difficult calls under conflicting requirements and visible risk, and stood behind them. 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,