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DepthFirst

Autonomous agents audit code for vulnerabilities

Infrastructure Software Engineer

Platform EngineeringConfirmed live in the last 24 hours
Full-timeSan Francisco, CA, USA

About the Job

Requirements

  • Experience building and operating cloud infrastructure and production systems in infrastructure engineering, platform engineering, Site Reliability Engineering, or a similar role.
  • Strong hands-on knowledge of Kubernetes, including workload scheduling, networking, resource management, scaling, and troubleshooting.
  • Familiarity with deployment architectures and concepts such as Software as a Service, Bring-Your-Own-Cloud, and air-gapped deployments.
  • Strong software engineering skills in a language such as Go, with experience designing, building, and maintaining production services.
  • Experience developing distributed systems, including handling concurrency, retries, partial failures, and resource lifecycle management.
  • A solid understanding of Linux, containers, networking, and cloud security fundamentals.
  • Experience with infrastructure as code, continuous integration and continuous delivery, and production observability.
  • Ability to reason about tradeoffs between reliability, security, performance, cost, and operational complexity.
  • Ownership from design and implementation through deployment and ongoing operation.
  • Based in or willing to relocate to San Francisco.

Responsibilities

  • Build and operate the cloud infrastructure and Kubernetes clusters that support production systems and engineering teams.
  • Design and develop production sandbox management and orchestration services, including APIs and distributed coordination for allocation, isolation, health monitoring, failure recovery, and resource lifecycle management.
  • Improve workload scheduling, autoscaling, and capacity management to support growing and variable demand.
  • Strengthen infrastructure security through workload isolation, access controls, network policies, and secure configuration.
  • Improve performance and cost efficiency by reducing startup latency, increasing resource utilization, and addressing system bottlenecks.
  • Build observability and operational tooling that help engineers understand system behavior and resolve problems quickly.
  • Debug production issues across service code, Kubernetes, Linux, networking, and cloud infrastructure, then implement durable fixes.
  • Improve infrastructure as code, deployment pipelines, and upgrade processes to make changes repeatable and reliable.
  • Own systems from architecture and implementation through deployment and ongoing operation.

Desired Qualifications

  • Deep experience with Amazon Web Services and Elastic Kubernetes Service, Helm, and Terraform or Pulumi.
  • Experience building infrastructure control planes, Kubernetes controllers, operators, or workload orchestration systems.
  • Experience with sandboxing, virtualization, or secure execution environments.
  • Experience supporting workloads with high concurrency or rapidly changing compute demand.
  • Experience building infrastructure for artificial intelligence platforms, developer tools, or security products.

About the Company

DepthFirst

Autonomous agents audit code for vulnerabilities

DepthFirst builds autonomous agents that understand a company’s code, business logic, and infrastructure end-to-end to surface security weaknesses and propose fixes that are ready to merge. The platform, called General Security Intelligence, uses AI agents to analyze an organization’s codebase and systems, identify vulnerabilities, and suggest actionable patches that can be integrated into the codebase. It stands out from traditional static analysis by delivering more true-positive findings (about 8x higher) and far fewer false positives (roughly 85% fewer), and it shows strong performance on CyberGym benchmarks. Early customers include AngelList, Supabase, Moveworks, Persona, and Lovable. The company aims to speed up secure software development by automatically finding problems and providing ready-to-implement fixes, and it is expanding research, go-to-market efforts, and hiring after a $40 million Series A round in January 2026.

Company size
51-200
Company stage
Series B
Total funding
$140.8M
Headquarters
San Francisco, CA
Founded
2024

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