Security Engineer, Chainguard

• 1–3 years of experience in a relevant area: data engineering, analytics, security engineering, SRE, or similar hands-on technical role
• Comfortable with Git/GitHub and modern software workflows (branches, PRs, code review, CI, etc.)
• Practical experience with:
• Python for scripting and small tools
• Bash or similar shell scripting
• SQL for querying and joining data (nothing exotic—solid fundamentals go a long way)
• Some exposure to data wrangling and ETL concepts (pipelines, schemas, making messy data usable)
• A critical, analytical mindset: you care about the “why,” not just the “what,” and you’re comfortable zooming from big picture into the weeds
• Genuine curiosity and learning mindset: you like picking up new tools and patterns, especially around security, risk, and data
• Strong collaboration and communication skills in a remote setting: clear writing, proactive updates, low ego
• Comfort using AI tools (ChatGPT, Claude, etc.) day-to-day, and excitement about orchestrating them into real workflows over time

Desirable

• 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
• 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
• 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 data, stitch systems together, and eliminate repetitive work
• Partner with engineering teams to make governance and trust part of the platform
• Lean on and extend AI tooling (including orchestration frameworks like LangChain or LangGraph) to speed up analysis, data work, and automation
• Contribute to a remote-first, low-ego team culture where feedback flows freely and we optimize for outcomes, not theatrics
• You’ll have clear ownership of meaningful pieces of the system, with a manager and teammates who’ll help you prioritize and grow your scope over time

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