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Infrastructure Engineer, Security

Thinking Machines Lab· Technical
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San Francisco, CA$200k - $475kPosted 10mo ago

About the role

Security-focused infrastructure engineer role at Thinking Machines Lab, responsible for owning and evolving security infrastructure across compute, storage, networking, and data platforms to ensure secure, reliable, and scalable foundation models; collaborate with research and product teams to build security into the platform by default.

Responsibilities

  • Architect security patterns for platforms and services, including network segmentation, service-to-service authentication, RBAC, and policy enforcement in Kubernetes and cloud environments.
  • Manage identity, access, and secrets for humans and services: workload and cross-cloud identity, least-privilege IAM, and secrets management.
  • Build secure platforms for data ingestion, processing, and curation: classification, encryption, access controls, and safe sharing patterns across teams.
  • Write threat models and review designs with researchers and engineers to help them ship features and experiments in a safe, scalable way.
  • Automate security checks and build guardrails: policy-as-code, secure infrastructure baselines, validation in CI/CD, and tools that make the secure path the easiest one.

Qualifications

  • Bachelor’s degree or equivalent experience in engineering, or similar.
  • Strong background with containers and orchestration (e.g., Kubernetes) and how to secure them (namespaces, network policies, pod security, admission controls, etc.)
  • Practical experience with Infrastructure as Code (Terraform or similar), including secure patterns for provisioning networks, IAM, and shared services.
  • Solid understanding of cloud networking and security: VPCs, load balancers, service discovery, mTLS, firewalls, and zero-trust-style architectures.
  • Proficiency with a systems language such as Rust and scripting in Python for building platform components and internal tools.
  • Evidence of owning complex, production-critical systems, including debugging issues that span infra, security, and application layers.

Skills

Required:Containers and orchestration securityInfrastructure as CodeCloud networking and securitySystems programmingProduction systems ownership

Benefits

  • generous health, dental, and vision benefits
  • unlimited PTO
  • paid parental leave
  • relocation support as needed
Last updated Jul 8, 2026. Interested? Apply on the company site.
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About Thinking Machines Lab

Connectionism: Research Blog by Thinking Machines Lab

Thinking Machines Lab is an artificial intelligence research and product company. We’re building a future where everyone has access to the knowledge and tools to make AI work for their unique needs and goals.

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