Senior Platform Engineer, Handshake AI Enterprise

Handshake•San Francisco, CA

3d•Onsite

About The Position

As a Senior Platform Engineer at Handshake AI Enterprise, you'll own the infrastructure layer that makes everything else possible. Enterprise customers don't want their data in shared infrastructure — they want AI applications deployed inside their own environments, on their terms. You'll be the engineer who makes that happen, reliably and at speed. You'll design and execute deployment patterns across VPC, on-prem, and self-hosted configurations, work directly with customer IT and security teams, and build the tooling that makes each new deployment faster than the last. Without you, nothing ships. This is a founding-team level role with real technical complexity and direct customer impact — building the platform that Handshake AI Enterprise runs on.

Requirements

5–6+ years of backend and infrastructure engineering experience
Hands-on experience deploying applications into enterprise environments — VPC deployments, on-prem, and self-hosted configurations
Deep understanding of enterprise security requirements: data segregation, access controls, compliance frameworks
Experience working directly with external customers in a deployment or field engineering context
Strong operational mindset — you care about reliability, observability, and repeatability at scale
Comfort in ambiguous, fast-moving environments where the requirements are defined as you go

Nice To Haves

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

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, reducing friction for future deployments
Define the platform playbook for Handshake AI Enterprise as we scale to more customers and more complex environments