Skip to content

Open nowPosted 76 days ago

Senior Software Engineer, Patch Engineering & Vulnerability Remediation

Domino Data Lab23 open roles

Where
Remote Argentina
Work mode
Remote
Get the CV for this job

From $25 per CV, paid once. No subscription.

Your applicationOpen nowSenior Software Engineer, Patch Engineering & Vulnerability RemediationDomino Data Lab · Remote Argentina
  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on Domino Data Lab's own form.

The reply lands in your private mailbox

3×more interviews than doing it yourself with ChatGPT.

The clock on this job

Early applications get read.

12.3% of postings close within 7 days. Measured by our own scanner across the market. Domino Data Lab postings stay open a median of 45 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.3%7 days
  4. 19.7%14 days
  5. 35.6%30 days
  6. 58.0%60 days
This job: posted 76 days ago

Domino Data Lab median: 45 days open

The posting

Who we are

At Domino, we build solutions that help the largest, highly regulated organizations adopt AI to accelerate mission-critical use cases. Our platform integrates a streamlined model and app development environment, advanced model, agent, and app hosting capabilities, and novel governance capabilities providing regulator-ready AI at scale. 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 over a decade but are still a small team operating with the spirit of a startup. 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

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

From $25, paid onceGet the CV for this job

What happens when you press

One press. We do the rest.

  1. A CV for this posting

    Written against Domino Data Lab's own wording, from every piece of relevant proof in your profile.

  2. 25 readers review it

    Recruiter, hiring manager, skeptic and more read every draft, round after round. You get the best round.

    The review screen in CV Rocket: how each CV was read, round by round.
  3. We apply on Domino Data Lab's form

    Our application engine gets through the hardest forms there are. Where a question needs you, AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

    An application in CV Rocket: every answer filled in on the employer's form.
  4. Every reply, sorted

    Domino Data Lab's answer lands in your private mailbox, and we classify it on arrival: interview, question, rejection.

    The CV Rocket inbox: each employer reply classified as an interview, an action or a rejection.
  5. Reply with AI

    AI helps you write the email, checks it and sends it. We show you whether the recruiter read it.

  6. The interview in your calendar

    Full integration with your calendar. The invitation goes straight in.

    An interview invitation in the CV Rocket inbox, added to the candidate's calendar.
Get the CV for this job

From $25 per CV, paid once. No subscription.

Why it works

3×

more interviews than doing it yourself with ChatGPT.

ChatGPT writes a CV and never learns what happened to it. We see every reply. For each CV we know:

  • How it was written, and how the review scored it
  • When we applied, and how long after the posting went up
  • Which posting, which company, which city
  • Who got the interview, and who heard nothing

That is how we know which CVs get called.

Get the CV for this job

From $25 per CV, paid once. No subscription.

The numbers game

More applications. More interviews.

Every application goes out with its own CV, written for that posting and paid once. Send enough of them and the law of large numbers finds you the job.

By hand5–10
With CV Rocket100
applications a day

Nearby

Live postings like this one

Same employer first, then the same role elsewhere.

Before you press

Straight answers

Get the CV for this job

From $25 per CV, paid once. No subscription.

What if my background isn't good enough?

We make the most of the background you have. The CV uses every piece of relevant proof your profile holds, and one of the 25 readers reads your whole profile and flags what the CV left out.

Do you really apply for me?

Yes, on the employer's own form, the hardest ones included. Where a question needs you, you answer it right there and AI suggests the best answer. Don't want us applying from our IP addresses? Use our Chrome extension: we apply straight from your own browser.

Is it a subscription?

No. You pay once per CV, from $25. Every application goes out with its own CV, written for that posting.

One job. One CV.
Paid once.

Pick the posting you want. We write for it, apply for you and catch the reply.

Get the CV for this job

From $25 per CV, paid once. No subscription.