Senior Software Engineer, Cloud Customer Tooling

San Francisco, CA - US. Posted 22 days ago

The role

You will contribute to the product and technical vision for internal tooling as a founding member of the Admin Tooling team. You will work on the admin tooling stack, including AuthN and AuthZ systems, API and microservice design, and client interfaces.

What you will do

Work closely with Product and Design, Developer Experience, Security and Customer Success teams.
Own the end-to-end technical roadmap for the admin tooling stack.
Maintain and extend existing internal tools for customer interactions and datacenter operations.
Set team engineering practices.
Drive design reviews.
Mentor junior and mid-level engineers.

Required qualifications

5+ years of software development experience
Programming with modern compiled languages such as Go, Rust, Java, or C++
Ability to talk directly with end users and align on solutions
Proven track record of delivering software to address problems
Ability to design and scale fault-tolerant distributed systems and develop managed cloud services
Experience defining SLOs, instrumenting services with metrics, logs, and traces, and using signal to debug production issues

Nice to have

Experience with RBAC/Permissioning systems
Experience with TypeScript/React
Experience with internal tooling/developer platforms such as Retool or Backstage

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. They use an energy-first approach to make AI infrastructure better for the world and faster for innovators.