Platform Engineer - AI Infrastructure

Hamilton Barnes Associates Limited; San Francisco (CA); On-site; USD 180,000 - 250,000; Full time

Benefits offered by this job

Significant freedom and ownership in project development

Work on challenging problems related to ultra-low latency

Join a high-growth environment

Job summary

A fast-growing technology company in San Francisco is looking for an experienced backend engineer. The role involves designing and optimizing AI software infrastructure, requiring expertise in Golang, Python, and distributed systems. Candidates should have extensive Linux administration experience and be comfortable working in a high-growth environment. This unique opportunity offers a competitive salary of $180,000 to $250,000 plus equity, alongside significant ownership in project development.

Qualifications

• 5+ years of experience in Golang, Python, and TypeScript.
• 5+ years building and operating infrastructure at scale, specifically distributed systems.
• 5+ years of Linux administration with deep knowledge of internals.

Responsibilities

• Design and build the core E2B backend and cloud infrastructure powering AI software creation.
• Work directly with VM hypervisors and Linux systems.
• Develop and optimize sandboxes for LLMs and implement secure networking solutions.

Skills

Golang

Python

TypeScript

Linux administration

Kubernetes

VM hypervisors (Firecracker, gVisor)

Distributed systems

Job description

Are you looking for an exciting new opportunity?

Join a fast-growing, Series A technology company building the next hyperscaler for AI agents, delivering a cloud platform where AI applications can create and run other software at scale. The business is already trusted by 88% of Fortune 100 companies, supports over 1 million monthly downloads, and has powered almost 300 million sandbox environments, reflecting rapid adoption and real-world impact.

This highly technical role sits at the heart of the core product, with responsibility for designing and optimising secure, isolated, and ultra-high-performance cloud runtimes. Backed by over $32M in funding, this is a rare opportunity to help define the foundational infrastructure shaping the future of AI development. Apply today!

Responsibilities:

• Design and build the core E2B backend and cloud infrastructure powering AI software creation.
• Work directly with VM hypervisors (Firecracker, gVisor) and Linux systems to build high-performance runtimes.
• Develop and optimize sandboxes for LLMs and implement secure, isolated networking solutions.
• Shave off every millisecond by monitoring resources and optimizing sandbox performance at scale.
• Solve complex distributed systems challenges, leveraging Kubernetes or Nomad for orchestration.
• Collaborate closely with Distributed Systems Engineers and work directly with users.

Skills/Must have:

• 5+ years of experience in Golang, Python, and TypeScript.
• 5+ years building and operating infrastructure at scale, specifically distributed systems.
• 5+ years of Linux administration with deep knowledge of internals (kernel, namespaces, networking, containers).
• Experience working with VM hypervisors (Firecracker, gVisor) or similar container runtimes.
• Experience with Kubernetes or Nomad.
• Proactive, detail-oriented, comfortable taking ownership, and excited to work in person from San Francisco.

Benefits:

• Opportunity to build the next hyperscaler platform for AI agents from the ground up.
• Significant freedom and ownership (taking projects from 0 ? 1) in a Series A startup with strong funding ($32M+ raised).
• Work on challenging problems related to ultra-low latency and secure sandboxing.
• Join a high-growth environment with customers like Perplexity and Hugging Face.

Salary:

• $180,000 - $250,000 + Equity