Vulnerability Engineer

Posted 2 Days Ago
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Hiring Remotely in India
Remote or Hybrid
Mid level
Artificial Intelligence • Machine Learning
Unleash data science, one innovation at a time.
The Role
Perform hands-on vulnerability triage and risk assessment across OS, containers, and dependencies; validate and reproduce customer and pentest findings; maintain and troubleshoot SAST/DAST and scanning pipelines; build PoC exploits to validate real-world risk; partner with Engineering to prioritize and ship fixes; improve vulnerability management processes and SLAs.
Summary Generated by Built In

Who we are

At Domino, we build software that helps the largest, AI-driven organizations build and operate advanced data science and AI solutions at scale. Our platform integrates a streamlined model development environment, MLOps capabilities, and novel features for collaboration, reuse, and reproducibility — all of which make data science teams more productive, reduce time to value, and ensure compliance. Our customers — like Johnson & Johnson, GSK, Bristol Myers, UBS, FINRA and the US Navy — are using our software to solve some of the most important challenges in the world, such as developing new medicines, securing our financial markets, or protecting our country. Backed by Sequoia Capital, Coatue Management, NVIDIA, Snowflake and other leading investors, we have been in business for a decade but are still a small team operating with the spirit of a startup. Especially in the world of AI today, we believe that the future is still being invented — and we want to be the ones building it. For more information, visit www.domino.ai

What we are building

Domino's Security team safeguards a platform trusted by some of the most regulated organizations in the world, across financial services, pharma, government, and defense. Vulnerability Management is where that trust gets tested day to day: finding, triaging, and closing out risk across our OS, container, and dependency surface, and giving customers a clear, defensible answer when they ask how exposed they are. This role joins that function as it scales, working closely with our Staff Security Engineer to turn a fast-growing vulnerability workload into faster, more consistent risk assessments.

What your impact will be

In your first year, your impact will be:

  • Faster, more consistent Vulnerability Risk Assessments. You'll own first-pass CVSS scoring and exploitability analysis, closing the SLA gap between finding and answer
  • Validated, trustworthy triage. You'll reproduce and confirm customer-reported and pen-test findings before they reach Engineering, so fix priority reflects real exploitability, not just scanner severity
  • Reliable scanning pipelines. You'll keep SAST/DAST and vulnerability scanning automations running, troubleshooting failures and tuning configs so the data everyone relies on stays clean
  • Real partnership with Engineering. You'll build or run PoC exploits on select CVEs, bringing validated risk, not just findings, into prioritization conversations
  • More capacity for the function. You'll free up our Staff Security Engineer to focus on program-level improvement instead of carrying all of vulnerability management's day-to-day load

What we look for in this role

  • Hands-on experience managing vulnerabilities for a large SaaS product, across OS, container, and dependency exposure
  • A track record triaging and tracking CVEs for a SaaS or containerized product: reading scan reports, prioritizing by severity, and following through to resolution
  • Experience reproducing and validating reported vulnerabilities, whether from customer disclosures or pen test findings, not just logging them
  • Time spent with vulnerability scanning tools such as Prisma Cloud/Twistlock, JFrog, or Trivy, including reconciling findings across tools
  • Comfort building or maintaining SAST/DAST pipeline automation, and triaging what the scans turn up
  • Experience partnering with Engineering to get fixes prioritized and shipped, not just reported
  • Background in a highly regulated environment or modern software company, ideally one that moves at startup or scale-up speed
  • Strong scripting ability, Python preferred
  • Working knowledge of CVSS v3.1/v4.0 scoring and the judgment to assess risk, not just report it
  • Exploit development or PoC skills to validate real-world exploitability of CVEs, using tools like Burp Suite
  • Familiarity with OWASP Top 10 and testing methodology
  • Working knowledge of containers and Kubernetes, plus core Linux, AWS, and networking fundamentals
  • Basic understanding of authentication/authorization concepts (tokens, session handling, auth bypass patterns) and API security fundamentals
  • Basic threat modeling: thinking in attack paths, not just isolated severity scores
  • Clear communication, comfortable navigating risk conversations with Engineering and customers, including drafting risk statements a non-technical audience will actually read
  • Comfort operating with ambiguity, since not every finding arrives with a clean severity or fix path

Nice to have:

  • OSWA, OSWE, or a similar offensive security certification (e.g. GWAPT, GPEN)
  • Familiarity with Airflow and Snowflake

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

Skills Required

  • Hands-on experience managing vulnerabilities for a large SaaS product across OS, container, and dependency exposure
  • Track record triaging and tracking CVEs for a SaaS or containerized product
  • Experience reproducing and validating reported vulnerabilities (customer disclosures or pen test findings)
  • Experience with vulnerability scanning tools (Prisma Cloud/Twistlock, JFrog, Trivy) and reconciling findings
  • Experience building or maintaining SAST/DAST pipeline automation and triaging scan results
  • Experience partnering with Engineering to get fixes prioritized and shipped
  • Background in a highly regulated environment or modern software company
  • Strong scripting ability
  • Working knowledge of CVSS v3.1 and v4.0 scoring and exploitability assessment
  • Exploit development or PoC skills to validate real-world exploitability (e.g., Burp Suite)
  • Familiarity with OWASP Top 10 and testing methodology
  • Working knowledge of containers and Kubernetes, core Linux, AWS, and networking fundamentals
  • Basic understanding of authentication/authorization concepts and API security fundamentals
  • Basic threat modeling and attack-path thinking
  • Clear communication and ability to draft customer-facing risk statements
  • Comfort operating with ambiguity
  • Python (preferred scripting language)
  • OSWA, OSWE, GWAPT, GPEN or similar offensive security certification
  • Familiarity with Airflow and Snowflake

What the Team is Saying

Claus Murmann
Melissa Smith

Domino Data Lab Compensation & Benefits Highlights

  • Healthcare Strength Health coverage is positioned as premium, including a $0‑premium option for employees and dependents, with mental‑health coverage and a Calm subscription available. These features point to robust medical, dental, and vision support.
  • Leave & Time Off Breadth Time off and flexibility are emphasized through flexible/unlimited PTO and a remote‑first approach. This setup signals considerable autonomy in managing time away from work.
  • Wellbeing & Lifestyle Benefits Extras such as commuter benefits, a home‑office/equipment stipend, and wellness reimbursements expand everyday support. An EAP and fitness perks further bolster lifestyle and wellbeing offerings.

Domino Data Lab Insights

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The Company
HQ: San Francisco, CA
200 Employees
Year Founded: 2013

What We Do

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

Why Work With Us

We’re looking for sharp, scrappy people who crave a high degree of ownership, are laser-focused on personal growth, and can stick the landing between high standards and low ego. In our fast-paced environment, you’ll find all the white space and opportunity you need to thrive.

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Domino Data Lab Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQSan Francisco, CA
London, UK
Argentina (Remote Hub)
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