Senior Systems Engineer, AI Infra & Sandbox Platform

Adapt

San Francisco (CA)

On-site

USD 200,000 - 300,000

Full time

14 days+
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Benefits offered by this job

Daily catered lunch
Equity grant
Relocation support

Job summary

Adapt is hiring an engineer to own the computer underneath Adapt. This role focuses on systems that power customer workloads, sits in customer conversations, and ships user-facing features. You will work with a stack including Firecracker, gVisor, GCP, and Kubernetes.

You will need strong Linux skills, experience with multi-tenant compute, and the ability to balance engineering excellence with product outcomes in a fast-paced startup environment.

Qualifications

  • 4-7+ years of professional engineering experience, with a meaningful chunk on infrastructure.
  • Experience at an early-stage startup where infrastructure was the product.
  • Owned a multi-tenant compute or build system with isolation, reliability, and cost accountability.
  • Mentored engineers without management responsibilities.

Responsibilities

  • Own systems end-to-end from customer Slack to launch blog post.
  • Ship features and improvements with a customer-centric approach.
  • Tie infra work to product outcomes with measurable customer impact.
  • Solve problems within existing constraints to optimize for all users.
  • Engage in customer discovery to understand pain points and drive solutions.
  • Write clear customer-focused communications for launches.

Skills

Infrastructure experience
Multi-tenant compute
Architecture decisions
Full-stack TypeScript
Rust or Go
Linux kernel familiarity
GCP & Kubernetes
Firecracker / gvisor
Customer-facing shipping

Tools

GCP
Kubernetes
Firecracker
gVisor

Job description

Adapt is hiring an engineer to own the computer underneath Adapt. This role focuses on systems that power customer workloads, sits in customer conversations, and ships user-facing features. You will work with a stack including Firecracker, gVisor, GCP, and Kubernetes.

You will need strong Linux skills, experience with multi-tenant compute, and the ability to balance engineering excellence with product outcomes in a fast-paced startup environment.

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