Senior Platform Engineer

Responsibilities

• Own the infrastructure and deployment layer for AI applications shipped into enterprise customer environments
• Design and execute VPC, on-prem, and self-hosted deployment patterns across varying enterprise security requirements
• Work directly with customer IT and security teams to navigate compliance, data residency, and access control constraints
• Build tooling and automation that makes deployments repeatable and reliable across customers
• Collaborate closely with Product and Applied AI engineers on your deployment team
• Identify systemic gaps in infrastructure or process and lead initiatives to address them
• Define the platform playbook for Handshake AI Enterprise as we scale

Requirements

• 5–6+ years of backend and infrastructure engineering experience
• Hands-on experience deploying applications into enterprise environments (VPC, on-prem, self-hosted)
• Deep understanding of enterprise security requirements including data segregation and access controls
• Experience working directly with external customers in a deployment or field engineering context
• Strong operational mindset regarding reliability, observability, and repeatability at scale
• Comfort in ambiguous, fast-moving environments

Preferred Qualifications

• Experience at an infrastructure company offering self-hosted or on-prem options
• Familiarity with authentication, secrets management, and zero-trust networking
• Experience building internal deployment tooling or platform abstractions
• Background working alongside applied AI or ML systems in production environments

About the Company

Handshake was founded on a simple belief that everyone deserves a path to a great career. Handshake AI is a fast-growing AI data business working directly with frontier AI lab researchers to create evaluations and push the boundaries of data.