Who we areDomino Data Lab powers model-driven businesses with its leading Enterprise AI platform trusted by over 20% of the Fortune 100. Domino accelerates the development and deployment of data science work while increasing collaboration and governance. With Domino, enterprises worldwide can develop better medicines, grow more productive crops, build better cars, and much more. Founded in 2013, Domino is backed by Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital and other leading investors. For more information, visit www.domino.aiWhat we are buildingThe Release Engineering & Vulnerability Remediation team is building the infrastructure and automation that lets Domino ship hardened, auditable software to our most security-sensitive customers—federal agencies, financial institutions, and healthcare organizations operating in regulated or air-gapped environments.Concretely, we are building:A hardened release pipeline that produces container images meeting strict scan thresholds, with reproducible builds and minimal attack surfaceAn automated vulnerability triage system that ingests scanner output, deduplicates findings across images and releases, routes to owners, and tracks SLA compliance—without manual triageProvenance and exploitability tooling that generates SBOMs and VEX statements on every release, so customer security questions are answered from standing artifacts rather than one-off investigationsA scalable remediation practice that uses AI and automation to keep pace with the volume of findings, rather than throwing engineers at each CVE individuallyThis is foundational work. The tooling and runbooks you build will define how Domino operates in regulated markets for years to come.What your impact will beIn your first year, you will In your first year, you will own the hardened image pipeline for our most demanding deployments and cut time-to-remediate for critical and high findings to a published, defensible SLA.You will replace one-off vulnerability firefighting with an automated path from scan to fix, including SBOM and exploitability statements generated on every release.You will make "we are not fixing this, and here is why" a documented engineering position backed by evidence, rather than a conversation repeated with every customer.You will set the technical direction and tooling that the next engineers on this team build on.What we look for in this roleExperience shipping and maintaining software or container images into regulated, on-premises, or air-gapped environments where you cannot simply redeploy to fix a problemDeep fluency with container build systems, base image strategy, and reproducible builds, plus working knowledge of Kubernetes and Helm packagingHands-on experience with vulnerability scanning and provenance tooling, and the judgment to distinguish a real risk from scanner noiseGo and/or Python strong enough to build automation and to patch upstream open-source dependencies when no fix existsClear technical writing. You will produce evidence that external auditors and customer security teams read and act onA bias toward removing whole classes of problems rather than closing ticketsWhat we valueWe value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for successWe believe in individuals who seek truth and speak the truth and can be their whole selves at workWe value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everythingWe emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the companyWe strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

Senior Software Engineer, Patch Engineering & Vulnerability Remediation

Emma

Responsibilities

Skills wanted:

Language(s) required:

Andy Spoone

Christopher Yang

Nick Elprin

Andy Spoone

Christopher Yang

Nick Elprin

About Domino Data Lab:

www.domino.ai/

Admin access needed