Sr. Staff Software Engineer, Managed Platform Services

San Francisco, CA - US. Posted 4 months ago

The role

Sr. Staff Software Engineers serve as senior floating technical leaders for the Managed Platform Services organization. You will work on diverse tasks including data center scale-out automation, performance deep dives, rapid prototyping, and cross-functional initiatives.

What you will do

Design and drive automation for new on-prem server and site bring-up
Perform performance and reliability deep dives to find systemic opportunities
Build POCs to evaluate viability of new platform capabilities
Identify missing customer-facing functionality and tooling
Investigate and scope high-leverage architectural shifts
Drive initiatives spanning multiple orgs
Use AI to augment development and build tools and frameworks
Coach senior engineers and introduce systems to uplevel the team

Required qualifications

10+ years of software development experience with significant time at staff level or above
Hands-on expertise designing and operating distributed systems at scale
Comfort operating anywhere in the stack
Ability to rapidly build high-fidelity prototypes
Use of AI tools to accelerate development, research, and decision-making
Customer-facing on-call experience
Ability to drive technical outcomes across org boundaries without formal authority
Exemplary communication
Proficiency in Go or a modern compiled language
Proficiency in cloud-native infrastructure

Nice to have

Go strongly preferred

Benefits

Competitive compensation and equity packages
Restricted Stock Units
Paid time off, paid holidays & leave of absence programs
Comprehensive health, dental & vision insurance
Employer contributions to HSA account
Paid parental leave
Paid life insurance, short-term and long-term disability
Professional development & tuition reimbursement
Mental health & wellness support
Commuter benefits (parking & transit)
Cell phone stipend
401(k) Retirement plan with company match up to 4% of salary

About the company

Crusoe is a vertically integrated AI infrastructure company that owns and operates each layer of the stack to power AI workloads. The company uses an energy-first approach to solve AI compute and power bottlenecks.