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Security Engineer, Governance and Trust

Chainguard
14 days ago
Full-time
Remote
Worldwide
Remote Engineering

Chainguard is the trusted source for open source. By delivering hardened, secure, and production-ready builds of all the open source software engineers and AI agents rely on, Chainguard helps organizations build faster, stay compliant, and eliminate risk. 

Our customers include Fortune 500 enterprises and global industry leaders, including Anduril, Canva, Fortinet, Hewlett Packard Enterprise, OpenAI, Snap Inc., and Snowflake.

Chainguard is venture-backed by leading investors, including Amplify, IVP, Kleiner Perkins, Lightspeed Venture Partners, Mantis VC, Redpoint Ventures, Sequoia Capital, and Spark Capital.

Security Engineer (Governance & Trust)

Tired of checkbox compliance and audit spreadsheets? Want to build modern governance and trust as code instead of chasing tickets? Come help us do exactly that.

At Chainguard, we’re on a mission to make the software supply chain secure by default. Our Governance & Trust (G&T) team is building the data, automation, and tooling that lets us prove we’re doing what we say we’re doing without slowing builders down. This role is a chance to build those foundations from scratch at an early stage in your career, with plenty of support and real impact.

The role in a nutshell

As a Security Engineer (Governance & Trust), you’re stable, growing fast, and ready to stretch into more ownership with guidance when you need it.

You’ll partner closely with our Cyber Resiliency and Product Security teams to:

  • Build the Git/GitHub backbone for our controls, assets, and risk scenarios
  • Stand up a trust data lake (likely in Google BigQuery) and the pipelines that feed it
  • Automate control evidence collection and other “governance as code” workflows
  • Help move a Python-based risk engine from prototype into production

This is an engineering-flavored governance role for someone who likes data, automation, and critical thinking more than writing policy decks.

What you’ll do

  • Design and wire up repositories in Git/GitHub for controls, assets, and risk scenarios so they’re versioned, reviewable, and automation-friendly
  • Build ingest & ETL pipelines into a trust data lake (e.g., BigQuery) to pull in signals from systems across Chainguard
  • Automate control evidence collection 
  • Productionize a Python risk engine, turning a working prototype into something reliable, observable, and maintainable
  • Use Python, Bash, and SQL to wrangle da