Staff Engineer, Crusoe Managed Data Transfer (Distributed Systems)

Crusoe is an active AI-infrastructure company operating an AI cloud platform, managed AI services, and AI data-center infrastructure.

Series E14 current maintainers9 active leads5 lead step-downs
Denver, United States
About Crusoe, Inc.

Crusoe designs, builds, and operates energy-first AI infrastructure. Its offerings include Crusoe Cloud for GPU-based training, fine-tuning, inference, and managed services, alongside AI-optimized data centers and energy infrastructure.

View jobs by Crusoe, Inc.

Skills

Candidate Availability

Required and preferred rules are kept separate and reflect the wording in the original posting.

About the Role

You will own the end-to-end architecture of the Managed Data Transfer service, assess and evolve its production prototype, and improve throughput and reliability. You will define cross-team interfaces, guide product trade-offs, establish operational standards, and mentor engineers through design reviews and coaching.

Requirements

  • Experience designing and operating data-intensive distributed systems at scale
  • 8+ years shipping production software
  • Experience leading a service from prototype to general availability
  • Understanding of object storage semantics, file systems, and TCP throughput
  • Ability to profile and improve transfer performance
  • Experience evolving live systems while minimizing customer risk
  • Experience defining and negotiating API boundaries and schema contracts
  • Experience with customer-facing on-call and maintainable, observable systems
  • Proficiency in Go or another modern compiled language
  • Ability to communicate architectural decisions to engineers, product managers, and engineering managers

Responsibilities

  • Own the end-to-end Managed Data Transfer architecture
  • Design the job API, scheduler, Kubernetes transfer workers, storage integration, and network paths
  • Evaluate, refactor, extend, or replace the production prototype
  • Migrate existing users without interruption
  • Set data-plane strategies for sharding, concurrency, straggler handling, and checksum verification
  • Define interfaces with Storage, Network, Kubernetes, IAM, Console, Billing, and Monitoring
  • Design extensible transfer engines and regional worker pools
  • Evaluate open-source and vendor options
  • Set reliability, observability, and on-call standards
  • Partner with Product on scope, pricing trade-offs, and milestones
  • Mentor engineers through design reviews, RFC feedback, and coaching

Benefits

  • Equity packages
  • Restricted Stock Units
  • Paid time off
  • Paid holidays
  • Leave of absence programs
  • Health insurance
  • Dental insurance
  • Vision insurance
  • Employer HSA contributions
  • Paid parental leave
  • Life insurance
  • Short-term disability insurance
  • Long-term disability insurance
  • Tuition reimbursement
  • Mental health and wellness support
  • Commuter benefits
  • Cell phone stipend
  • 401(k) plan with up to 4% company match
  • Volunteer time off
  • Global travel insurance and emergency assistance
  • Daily meals allowance