Staff Software Engineer, Data Platform
Crusoe · San Francisco, CA - US
Infrastructureonsitestaff$215k–$260k
At a glance
Highlights
- Architect foundational data platform powering Crusoe's AI and cloud operations.
- Build scalable systems for analytics, ML, and operational intelligence.
- Drive reliability with validation, monitoring, and observability at scale.
What they offer
- Restricted Stock Units
- Bonus
- Paid time off & paid holidays
- Comprehensive health, dental & vision insurance
- Employer HSA contributions
- Paid parental leave
- 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) with company match up to 4%
- Volunteer time off
Ideal candidate
A builder-owner who thrives architecting platforms from scratch and mentoring others. You care about sustainable AI infrastructure and turning ambiguous needs into reliable systems.
Requirements
- Bachelor's degree in Computer Science, Data Engineering, Information Systems or related field
- 5+ years progressive post-baccalaureate experience in software/data infrastructure engineering
- Proficiency in Python and a systems language (Go preferred; Java, C, or C++ valued)
- Deep experience building data platforms including warehouses, lakes, streaming and ETL/ELT
- Understanding of distributed computing principles and scalable systems
- Advanced SQL for data modeling, query optimization and database design
- Familiarity with CI/CD, containerization and infrastructure automation
- Ability to drive projects autonomously and collaborate with stakeholders
- remote policy
- Strictly on-site; remote work not eligible
Lab profile
About Crusoe
Vertically integrated AI infrastructure company powering ambitious AI workloads from electrons to tokens.
What they build
- Crusoe Cloud for AI workloads
- Purpose-built AI data centers
- Managed GPU infrastructure
Known for
- Vertically integrated from electrons to tokens
- Owns and operates full infrastructure stack
- Built for large-scale AI workloads
Key facts
- Founded in 2018
- Headquartered in San Francisco, CA
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