Platform Engineer

Nexus Intelligence•San Francisco, CA

About The Position

Nexus is hiring a Platform Engineer to own the infrastructure that runs long-horizon AI agents in manufacturing environments. The role covers deployment architecture, observability, industrial connectivity, containerization, and networking, enabling the platform to operate in Nexus’s cloud, customer VPCs, and on-premises plant networks. The systems support agent investigations, customer go-lives, and on-premises deployments in factories that operate around the clock. The engineer will define deployment architecture and processes so factory deployments can be made routine, build observability across application, platform, and infrastructure layers, and develop integrations with industrial systems and software. They will also refine the containerization and networking stack so the platform can run securely and consistently in AWS and plant DMZs, including environments where internet access is not guaranteed. Scope and entry points are flexible and will be matched to the candidate’s strengths. The position is based in San Francisco, with occasional travel potentially required for events and customer visits.

Requirements

  • At least 2 years of experience building and operating production systems, with real ownership of uptime.
  • Ability to architect, build, and maintain scalable systems.
  • Exceptional software development skills across greenfield projects and large existing codebases.
  • Strong fundamentals in containers, networking, and cloud infrastructure.
  • Ability to reason about data and traffic flow through distributed systems and identify likely failure points.
  • Uses AI extensively in their engineering workflow and has tried multiple AI developer tools.
  • Clear communication with teammates, partners, and customers, and willingness to respectfully challenge and be challenged.

Nice To Haves

  • Experience shipping agentic or LLM systems to production, with understanding of evaluations, reliable agent loops, tool design, and context management.
  • Experience with industrial or OT systems such as PLCs, SCADA, historians, MES, or UNS, or with secure, regulated, or air-gapped environments.
  • Experience building internal tooling used by both people and agents.

Responsibilities

  • Define deployment architecture for Nexus across its cloud, customer VPCs, and on-premises servers inside plant networks.
  • Own the architecture and processes that make deployments to factories routine and help maintain the stated deployment timeline of most go-lives in under two weeks.
  • Architect and operate observability across agent traces, evaluations, logs, workflow runners, backend services, AWS, customer VPCs, and on-premises infrastructure.
  • Build integrations and an industrial connectivity substrate for systems such as Rockwell, Siemens, SAP, and UNS, including proprietary control-system file formats and SDKs.
  • Build and refine containerization and internal networking so the platform can run securely, remain updatable, and be observable in AWS and plant DMZs, including environments without guaranteed internet access.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service