---
title: 'Senior Software Engineer, Patch Engineering & Vulnerability Remediation at Domino Data Lab'
canonical: 'https://feeny.ai/job/senior-software-engineer-patch-engineering-vulnerability-remediation-domino-scs79xqqbj66'
type: 'job'
last_seen: '2026-09-09'
---

# Senior Software Engineer, Patch Engineering & Vulnerability Remediation at Domino Data Lab

- **Company:** Domino Data Lab
- **Location:** Argentina
- **Work type:** remote
- **Posted:** 2026-08-12
- **Last confirmed live:** 2026-09-09
- **Apply:** https://app.careerpuck.com/job-board/domino-data-lab/job/8121971?gh_jid=8121971

## Job description

## Who we are

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

## What we are building

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.

Concretely, we are building:

- A hardened release pipeline that produces container images meeting strict scan thresholds, with reproducible builds and minimal attack surface
- An automated vulnerability triage system that ingests scanner output, deduplicates findings across images and releases, routes to owners, and tracks SLA compliance—without manual triage
- Provenance 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 investigations
- A scalable remediation practice that uses AI and automation to keep pace with the volume of findings, rather than throwing engineers at each CVE individually

This 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 be

In 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 role

- Experience shipping and maintaining software or container images into regulated, on-premises, or air-gapped environments where you cannot simply redeploy to fix a problem
- Deep fluency with container build systems, base image strategy, and reproducible builds, plus working knowledge of Kubernetes and Helm packaging
- Hands-on experience with vulnerability scanning and provenance tooling, and the judgment to distinguish a real risk from scanner noise
- Go and/or Python strong enough to build automation and to patch upstream open-source dependencies when no fix exists
- Clear technical writing. You will produce evidence that external auditors and customer security teams read and act on
- A bias toward removing whole classes of problems rather than closing tickets

## What we value

- We value a growth mindset. High-performing creative individuals who dig into problems and see the opportunities for success
- We believe in individuals who seek truth and speak the truth and can be their whole selves at work
- We value all of you that believe improving is always possible At Domino Everything is a work in progress – we can do better at everything
- We emphasize an environment of teaching and learning to equip employees with the tools needed to be successful in their function and the company
- We strongly believe in the value of growing a diverse team and encourage people of all backgrounds, genders, ethnicities, abilities, and sexual orientations to apply

#LI-Remote

## About Domino Data Lab

## Company Overview
- **One-liner**: Domino Data Lab provides an enterprise AI platform that unifies tools, infrastructure, and governance to help organizations build, scale, and govern AI-powered applications.
- **Entity Type**: Private (Series F)
- **Headquarters**: San Francisco, California, USA
- **Founded**: 2013
- **Founders**: Nick Elprin (CEO), Christopher Yang, and Matthew Granade

## Core Business
- **Primary industry**: Enterprise AI / MLOps / Data Science and Machine Learning Platforms
- **Target customers**: B2B, highly regulated enterprises — including 20% of the Fortune 100, such as life sciences, financial services, insurance, and public sector organizations.
- **Mission**: "Unleash AI to address the world’s most important challenges" — helping enterprises accelerate science and research while reducing cost, risk, and complexity.

## Products & Services
- **[Model Factory]**: The core development environment for building AI systems and applications. Supports every method from statistical computing to agentic AI, with any coding assistant, language, or framework. [domino.ai](https://domino.ai/)
- **[Governance Center]**: Govern AI systems and applications to reduce risk and ensure compliance. Defines policies once and enforces them across the entire lifecycle with complete auditability, quality control, and cost visibility. [domino.ai](https://domino.ai/)
- **[App Hub]**: Scale AI-powered applications to thousands of users securely. Delivers governed applications to decision-makers with no rewrites from development to production. [domino.ai](https://domino.ai/)
- **[Agentic AI]**: Design autonomous agents with any framework, deploy them as governed applications, and manage them across their entire lifecycle — all in one platform. [domino.ai](https://domino.ai/)
- **[Coding Assistants]**: Adds traceability, reproducibility, and governance to everything produced by coding assistants. [domino.ai](https://domino.ai/)
- **[Model Risk Management (MRM)]**: A platform for the full model lifecycle, from development through ongoing regulatory compliance, enabling faster model validation with fewer audit findings. [domino.ai](https://domino.ai/)
- **[Document Intelligence]**: Build AI that reads, classifies, and extracts insight from documents at scale, enabling faster decisions from unstructured data at lower cost. [domino.ai](https://domino.ai/)
- **[Statistical Computing Environments (SCE) Solutions]**: A fully reproducible, audit-ready platform for SAS, R, and Python, designed for faster clinical trial submissions with lower compliance risk. [domino.ai](https://domino.ai/)

## Market Standing
- **Valuation/Market Cap**: Not publicly disclosed.
- **Key Metric**: Total Funding — Over $300 million raised (backed by notable investors). The platform is trusted by over 20% of the Fortune 100. [domino.ai](https://domino.ai/company)
- **Notable Investors/Partners**: Coatue Management, Great Hill Partners, Highland Capital, Sequoia Capital, and other leading investors. [builtin.com](https://builtin.com/company/domino-data-lab)
- **Growth Signals**: Named to Inc.’s 2026 Best Workplaces list. Recognized in the 2025 Gartner Magic Quadrant for Data Science and Machine Learning Platforms. Customer wins include the U.S. Navy (75% reduction in model deployment time), Moody's (50%+ reduction in deployment time), and UBS (5-year partnership for model risk management). [domino.ai](https://domino.ai/)

## Competitive Advantages
- **End-to-end, unified platform**: Combines development (Model Factory), governance (Governance Center), and deployment (App Hub) into a single platform — a holistic approach that reduces cost, risk, and complexity.
- **Built for highly regulated enterprises**: Domino's governance-by-default design is purpose-built for industries like finance, life sciences, and defense, where compliance and auditability are non-negotiable.
- **Proven impact at scale**: Customers report a 6x reduction in infrastructure costs, a 50% reduction in end-to-end model lifecycle time, 40% faster model development, and 75% faster model deployment. [domino.ai](https://domino.ai/)
- **Reproducibility by default**: Every experiment, model, and decision is captured automatically, allowing teams to reproduce any result without manual reconstruction — a critical moat in regulated environments.

## Strategic Focus
- **Agentic AI and AI-powered applications**: Domino is heavily investing in enabling agentic AI workflows and the deployment of AI-powered applications at scale, as evidenced by their new "Agentic AI" and "App Hub" product lines.
- **Deepening governance and compliance**: The "Governance Center" and "Model Risk Management" solutions indicate a strategic focus on making compliance a core feature, not an afterthought, for enterprise AI.
- **Industry-specific solutions**: Targeting specific verticals like life sciences (SCE solutions), financial services (MRM), and defense (U.S. Navy collaboration) to create tailored, high-value offerings.

## Why Work Here
- **Impact-driven mission**: Employees work on solving "the world’s most important problems" — from developing new medicines and more efficient crops to building safer defense systems.
- **Flexible work environment**: Domino operates a hybrid workspace with "flexible" on-site time. They have offices in San Francisco, London, and a remote hub in Argentina. The company states: "Feel supported to get your work done how and when you need to, regardless of your location." [builtin.com](https://builtin.com/company/domino-data-lab)
- **Generous benefits**: Premium medical, dental, and vision insurance (with a free option for family), competitive parental leave, flexible paid time off, annual education reimbursement, and commuter benefits. [domino.ai](https://domino.ai/careers)
- **Culture of ownership**: The company values "low ego and a high degree of ownership," seeking "self-starters" who can "own your outcome." [domino.ai](https://domino.ai/careers)
- **Award-winning workplace**: Domino was named to Inc.’s 2026 Best Workplaces list, signaling strong employee satisfaction and culture. [domino.ai](https://domino.ai/company)
- **Global team with 200+ employees**: A growing, mid-sized company where employees can feel the direct impact of their work. [builtin.com](https://builtin.com/company/domino-data-lab)

## Sources
1. [domino.ai](https://domino.ai/)
2. [domino.ai/company](https://domino.ai/company)
3. [domino.ai/careers](https://domino.ai/careers)
4. [builtin.com](https://builtin.com/company/domino-data-lab)
5. [linkedin.com](https://www.linkedin.com/company/domino-data-lab)

## Other roles at Domino Data Lab

- [Technical Cloud Operations Lead](https://feeny.ai/job/technical-cloud-operations-lead-domino-data-lab-argentina-e9eqaetsaezd) — Argentina
- [Senior Technical Support Engineer](https://feeny.ai/job/senior-technical-support-engineer-domino-data-lab-germany-yfvfjhqwgajk) — Germany
- [Senior Technical Support Engineer](https://feeny.ai/job/senior-technical-support-engineer-domino-data-lab-barcelona-s5hx7cf37rzr) — Barcelona, Spain
- [IT Support Engineer](https://feeny.ai/job/it-support-engineer-domino-data-lab-india-eu-south-sq761rmx3bbg) — India EU South, United States
- [Solutions Engineer, Life Sciences](https://feeny.ai/job/solutions-engineer-life-sciences-domino-data-lab-us-east-coast-z9nrq0vj8pyf) — US East Coast
- [Forward Deployed Engineer, Public Sector](https://feeny.ai/job/forward-deployed-engineer-public-sector-domino-data-lab-us-2ag3ghp91nhk) — US, MD
- [Senior Technical Support Engineer](https://feeny.ai/job/senior-technical-support-engineer-domino-data-lab-united-kingdom-qke8mgj3nj2z) — United Kingdom
- [Senior Director, Solutions Engineering](https://feeny.ai/job/senior-director-solutions-engineering-domino-data-lab-us-east-coast-831xyqf38xc6) — US East Coast
- [Vulnerability Engineer](https://feeny.ai/job/vulnerability-engineer-domino-data-lab-india-pwc0g6qcq9yx) — India
- [Quality & Compliance Analyst](https://feeny.ai/job/quality-compliance-analyst-domino-data-lab-india-ymgnsd2v4x7z) — India