Forward Deployed Engineer

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.

We’re looking for a Forward-Deployed Engineer to help enterprise customers deploy and operate depthfirst in their environments. You’ll work directly with their security, infrastructure, and cloud teams to understand their architecture, navigate technical requirements, and own delivery from initial discovery through production readiness.

You’ll design deployment architectures, troubleshoot complex systems, and write production code to unblock customers. Each environment brings different infrastructure, security, and operational requirements. You’ll help customers work through those constraints and partner with our engineering team to build the integrations and capabilities they need.

You’ll also turn what you learn in the field into improvements that make depthfirst easier to deploy, operate, and scale across a wide range of enterprise environments.

• Own enterprise deployments from architecture and planning through installation, troubleshooting, upgrades, and operational handoff.

• Work directly with customer security, infrastructure, and cloud teams to understand their environments and establish a clear path to production.

• Solve deployment challenges across cloud infrastructure, Kubernetes, networking, identity and access management, and application configuration.

• Write code to unblock deployments, build integrations, and deliver new product capabilities.

• Build tooling and automation for onboarding, deployment validation, upgrades, and ongoing operations.

• Turn recurring customer needs into reusable platform improvements, working closely with our infrastructure, product, and security engineers.

• Communicate technical tradeoffs, dependencies, and progress clearly, keeping customer and internal teams aligned.

• Travel to customer sites as needed to support successful deployments.

• Experience building and operating production systems in infrastructure engineering, platform engineering, SRE, or a similar role.

• Strong hands-on knowledge of cloud infrastructure and Kubernetes, including deploying, debugging, and operating applications in production.

• A solid understanding of networking and cloud security fundamentals, including private connectivity, DNS, TLS, IAM, and access controls.

• Ability to investigate problems across infrastructure and application boundaries, identify root causes, and implement fixes.

• Proficiency in a language such as Go or Python, with experience shipping production code and automation.

• Experience with infrastructure as code, deployment pipelines, and observability.

• Strong communication skills and an interest in working directly with customers. You can understand unfamiliar environments, explain technical decisions, and coordinate across teams.

• Ownership and sound judgment when requirements are ambiguous or a deployment doesn’t fit an existing playbook.

• Based in or willing to relocate to San Francisco.

• Experience owning technical engagements with large enterprise customers as an FDE, SRE, platform engineer, or solutions engineer.

• Deep experience with AWS and EKS, Helm, and Terraform or Pulumi.

• Experience with multiple Cloud providers.

• Experience deploying enterprise software into environments with strict networking, access, and security requirements.

• Experience supporting varied customer architectures and integrating software with existing infrastructure and operational tooling.

• Experience with AI platforms or security products.