Senior Solutions Engineer

Highlights

• Help enterprise customers deploy AI workloads on high-performance GPU infrastructure.
• Deliver demos and stand up PoC environments with clear success criteria.
• Ensure clean post-sale handoffs so customer success teams start from stable Day 1.

What they offer

• Restricted Stock Units
• Paid time off, paid holidays & leave programs
• Comprehensive health, dental & vision insurance
• Employer contributions to HSA account
• Paid parental leave
• Professional development & tuition reimbursement
• Commuter benefits (parking & transit)
• 401(k) retirement plan with company match up to 4%
• Daily meals allowance
• Cell phone stipend

Ideal candidate

A curious, customer-focused problem-solver with early cloud infrastructure experience who thrives on ambiguity and urgency. You love helping customers bring ambitious AI ideas to life and growing toward owning technical wins.

Requirements

• 2+ years hands-on building, deploying, or operating cloud infrastructure
• Hands-on proficiency with a major cloud provider (AWS, GCP, or Azure)
• Experience deploying containerized workloads with Kubernetes or Docker
• Strong Linux command-line skills and scripting in Python or Bash
• Networking fundamentals including VPCs, subnets, load balancers, DNS, routing
• Clear technical communication with demos and customer documentation
• Customer-facing instincts with curiosity and follow-through