Director of Engineering (Compute Cloud)

Join Crusoe Cloud as the Director of Engineering - Cloud Compute. In this pivotal role, you will lead complex engineering initiatives, mentor engineers, and collaborate closely with cross-functional teams to deliver scalable and reliable cloud compute solutions. You will guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks. Additionally, you will scale the team, drive the hiring process, and stay aware of the latest trends and techniques in cloud software.

• Lead complex engineering initiatives and collaborate with cross-functional teams to deliver scalable and reliable cloud compute solutions.
• Guide the engineering team through architecture decisions, design processes, design reviews, code reviews, and implementation tasks.
• Drive the hiring process to attract top talent, and implement strategies to retain and develop these professionals.

• Familiarity with AI/ML workloads and how they drive compute requirements for the cloud data center
• In-depth understanding of Compute products (CPU, GPU, ASIC accelerators) and how customers consume them
• Excellent communication and collaboration skills
• Proven experience in building and maintaining scalable and highly available fault-tolerant distributed systems and application architectures
• Strong analytical and problem-solving skills
• 7+ years of engineering management experience, 10+ years of experience working in software engineering
• Understanding of key hypervisors and virtualization technologies (eg KVM, VMware ESXi, Microsoft Hyper-V) and how they enable cloud computing
• Knowledge of professional software engineering practices and best practices for the full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations
• Deep expertise in Linux environments, configuration management, and modern deployment automation to ensure safe, scalable rollouts across large-scale compute fleets
• Proven track record of operating production infrastructure to strict SLOs and SLAs, leveraging fleet-wide observability and monitoring to drive reliability, optimization, and capacity planning
• Active open-source or upstream contributions to cloud infrastructure, containerization, or virtualization technologies (e.g., KVM, QEMU, containerd, Kubernetes)
• Demonstrated leadership in ambiguous, fast-moving environments,bringing structure, clarity, and cross-functional alignment during periods of rapid organizational growth