Platform Engineer - AI Infrastructure

• Design and build the core E2B Back End 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.

• 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.

San Francisco, CA - $180k - $250k Full Time Posted by: Hamilton Barnes Associates Limited Posted: Sunday, 30 August 2026

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!