Job description

ABOUT DEPTHFIRST We believe that software is the foundation of modern civilization. Yet vulnerabilities threaten its integrity, security, and resilience. We are on a mission to secure the world's software. depthfirst is building intelligence to detect and remediate critical software vulnerabilities. We are training and scaling security AI agents to discover zero-days vulnerabilities across large customer codebases and popular open source software. Our founding team includes deep expertise in data, infrastructure, security and LLMs with technical leaders from DeepMind, Databricks, Square, and Faire. We are looking for strong technical people who are interested in working at the intersection of AI, Security, and Infrastructure. ABOUT THIS ROLE We’re looking for an Infrastructure Software Engineer to build, scale, and secure the infrastructure that powers depthfirst. You’ll own our cloud and Kubernetes environments alongside the production services that manage sandboxes, orchestrate workloads, and control compute resources throughout their lifecycle. This role combines deep infrastructure expertise with hands-on software engineering. You’ll design and develop infrastructure services and APIs, improve the reliability and efficiency of our systems, and strengthen the security of our compute environments. Your work will span application code, distributed systems, containers, networking, and cloud infrastructure. You’ll own systems from architecture and implementation through deployment and ongoing operation. As depthfirst grows, you’ll shape how we scale our platform while keeping it reliable, secure, and straightforward to operate. YOU’RE EXCITED ABOUT THIS ROLE BECAUSE YOU WILL… - Build and operate the cloud infrastructure and Kubernetes clusters that support our 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. QUALIFICATIONS - Experience building and operating cloud infrastructure and production systems in infrastructure engineering, platform engineering, SRE, or a similar role. - Strong hands-on knowledge of Kubernetes, including workload scheduling, networking, resource management, scaling, and troubleshooting. - Familiarity with different deployment architectures/concepts such as SaaS, Bring-Your-Own-Cloud, air-gapped, etc. - 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, CI/CD, 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. - Strong communication skills and the ability to work through ambiguous problems with other engineers. - Based in or willing to relocate to San Francisco. BONUS POINTS FOR - Deep experience with AWS and EKS, 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 AI platforms, developer tools, or security products. WHAT WE OFFER - Competitive salary with meaningful equity. - Health, vision, and dental insurance. - Office lunch and dinner when working from our San Francisco office. - Direct ownership of foundational systems and influence over technical direction. - The opportunity to work at the cutting edge of AI and security. depthfirst is an equal opportunity employer and does not discriminate on the basis of race, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition, or any other basis protected by law. To all recruitment agencies: depthfirst does not accept agency resumes. Please do not forward resumes to depthfirst employees. depthfirst is not responsible for any fees related to unsolicited resumes and will not pay fees to any third-party agency or company that does not have a signed agreement with the Company.

Requirements

Must-haves

YOU’RE EXCITED ABOUT THIS ROLE BECAUSE YOU WILL…
Build and operate the cloud infrastructure and Kubernetes clusters that support our 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.
Experience building and operating cloud infrastructure and production systems in infrastructure engineering, platform engineering, SRE, or a similar role.
Strong hands-on knowledge of Kubernetes, including workload scheduling, networking, resource management, scaling, and troubleshooting.
Familiarity with different deployment architectures/concepts such as SaaS, Bring-Your-Own-Cloud, air-gapped, etc.
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, CI/CD, 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.
Strong communication skills and the ability to work through ambiguous problems with other engineers.
Based in or willing to relocate to San Francisco.
Deep experience with AWS and EKS, 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.

Nice-to-haves

None flagged.

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

aikubernetesgoci/cdaws

Platform: ashby
Effort: quick

Benefits

Benefits detected in the listing.

Dental

Vision