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Domino Data Lab is building the Release Engineering & Vulnerability Remediation team to deliver hardened, auditable software for regulated environments. You will own the image pipeline for top deployments and automate vulnerability remediation, producing SBOMs and provenance artifacts for every release.
Join a team that defines the tooling, writes runbooks, and keeps pace with security requirements across federal agencies, financial institutions, and healthcare orgs.
Domino 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.ai
Domino 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.ai
The 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.
This is foundational work. The tooling and runbooks you build will define how Domino operates in regulated markets for years to come.
In your first year, you will