AI Cloud Deployment Engineer — Production Readiness

Lambda; San Jose (CA); On-site; USD 180,000 - 240,000; Full time

Benefits offered by this job

Health, dental, vision coverage

Wellness stipend

Commuter stipend

401k with company match

Flexible PTO

Job summary

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. This role owns taking signed deployment from contract to a live, fully operational production environment.

The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.

Qualifications

• 4+ years of hands-on technical experience with GPU/HPC infrastructure, cloud platforms, Kubernetes, or large-scale Linux systems.
• Ability to validate builds and hold engineering teams accountable for resolutions.
• Strong troubleshooting and willingness to dive into networking, storage, or compute issues.
• Experience coordinating across engineering and infrastructure teams.
• Clear written and verbal communication for status updates and technical docs.
• Bias toward ownership and initiative.

Responsibilities

• Take signed deployments, from contract, to live, to working production environments, validating configuration, connectivity, storage, and compute against what was promised.
• Bring technical depth to validation and troubleshooting conversations — asking the right questions, spotting gaps, and working closely with engineering and infrastructure teams to drive issues to resolution.
• Coordinate with Infrastructure, Engineering, Product, and Data Center teams to close technical dependencies and resolve blockers.
• Own a current, accurate technical picture of the deployment — what's built, what's open, what's at risk.
• Keep stakeholders informed with clear, regular status updates: RAG status, top risks, and what's being done about them.
• Guide the customer through onboarding to their first successful production workload.
• Be the customer's go-to technical contact through deployment and early production.
• Feed recurring technical patterns back into reusable runbooks, checklists, or automation.
• Transition out once the customer is stable and self-sufficient, keeping the broader account team informed along the way.

Skills

GPU/HPC infra

Cloud platforms

Kubernetes

Linux systems

Job description

Lambda, The Superintelligence Cloud, is a leader in AI cloud infrastructure serving tens of thousands of customers. This role owns taking signed deployment from contract to a live, fully operational production environment.

The role requires strong technical acumen to validate the build against what was promised, spot gaps, and work effectively with engineering and infrastructure teams to get issues resolved and requirements clearly understood.