Platform Engineer - AI Infrastructure
Hamilton Barnes · hamilton-barnes.com
San Francisco CountySenior5+ yrs
Subscribers got this job on 17 October 2026.
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The job in short
AI infrastructure platform engineering.
PythonTypeScriptGoKubernetesLinuxLLMsHugging FaceNetworking
Details
- Found
- 9 d ago · posted 2026-10-17
- Location as listed
- San Francisco County, California, United States
- Role
- DevOps / SRE / Platform Engineer
- Source
- The company’s own careers site
Full 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
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