Senior QA Engineer, Client Interfaces
Crusoe · San Francisco, CA - US
Infrastructureonsitesenior$170k–$205k
At a glance
Highlights
- Be the first dedicated quality engineer defining one quality bar for Crusoe Cloud.
- Own end-to-end test strategy across every customer-facing surface in one product.
- Turn polish, defaults and feel-great UX into concrete testable criteria.
What they offer
- 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
- Cell phone stipend
- 401(k) Retirement plan with company match up to 4%
- Volunteer time off
- Global travel insurance & emergency assistance
- Daily meals allowance
Ideal candidate
A customer-obsessed quality leader with 5+ years shaping customer-facing products who loves defining quality from scratch, pairing with engineers, and sweating polish, details and great developer experiences. You thrive on ambiguity and use AI to work faster without losing rigor.
Requirements
- 5+ years in quality engineering, test automation or SDET roles on customer-facing products
- Built or helped build a TypeScript automation framework from scratch and run it in CI
- Comfortable testing HTTP APIs, CLIs and infrastructure tooling, willing to ramp on Go and Terraform
- Daily user of AI coding and testing tools to generate and maintain suites
- Strong exploratory testing instinct across UX, accessibility and edge cases
- Clear written communication in bug reports, test plans and release notes
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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