Senior Software Engineer, Application Security

5+ years of experience designing and developing production software systems

Strong proficiency in Go — this is the team's primary language for backend services

Experience building distributed systems or data pipelines (event-driven architectures, message queues, APIs, worker systems)

Proficiency with Python for scripting, automation, and tooling

Experience with cloud infrastructure (AWS preferred: Lambda, SQS, S3, ECR, or equivalent)

Ability to read and understand security tool output (vulnerability reports, SBOMs, static analysis results) and build systems around it

This is a software engineering role first — you'll architect distributed systems, write production Go and Python, build APIs, and operate services at scale.

The domain is security, but the work is building real software: custom scanning orchestration pipelines, policy engines that evaluate thousands of configurations against security rules, and data systems that track vulnerabilities across an entire product ecosystem.

If you want to write code that solves hard engineering problems in the security space rather than configure off-the-shelf tools, this is the role.

Design and build distributed services for vulnerability scanning, policy enforcement, and remediation workflows

Develop and extend the team's scanning orchestration platform — an event-driven architecture built on AWS (SQS, Lambda, S3, ECR) that processes scan events at org-wide scale

Build and maintain policy-as-code systems that programmatically enforce security policy in CI/CD pipelines and deployment configurations

The Security Applications & Tools (SAT) team within Lattice Platform Security builds custom software systems that detect, manage, and remediate vulnerabilities across Anduril's product ecosystem at scale. We don't just deploy scanners — we design and build distributed scanning infrastructure, policy enforcement engines, and vulnerability management platforms from the ground up. Our stack includes event-driven architectures on AWS, custom Go services, policy-as-code systems, and integrations that span CI pipelines to production environments.