Senior Software Engineer, Security Factory: Code Security

GitLab

Confirmed live today High trust
Remote

Quick summary

Work type
Remote
Location
Canada
Salary
$139,200–$235,200 / yr
Posted
18 days ago
Freshness
Confirmed live today

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $182k
This role $187k
$118k $248k
below market most similar roles pay here above market

This role pays more than 62% of similar roles. Most pay $151,987–$213,000 — the blue band above. At the midpoint, this role pays about $187k versus about $182k for comparable roles.

Based on 240 similar postings.

Employer

About GitLab

GitLab is an all-remote software company that develops an AI-powered DevSecOps platform combining source code management, CI/CD, security scanning, and project planning in a single application.

GitLab currently has 53 open roles on FindRole.

Listed pay typically runs $152,800–$238,000 across 49 roles with salary data.

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At a glance

TL;DR · Senior Software Engineer, Security Factory: Code Security

As a Senior Software Engineer on the Security Factory: Code Security team, you will help developers identify and remediate security vulnerabilities within their own code and open source dependencies. You will design and ship hybrid analyzers that combine rule-based detection with AI reasoning, while also building evaluation harnesses to measure false positives against benchmark applications. Your daily work involves parsing dependency manifests, lockfiles, and SBOMs to inform the static analysis engine and extending automated remediation services that generate merge requests for vulnerable components. You will utilize Go, Rust, Ruby, and Python to build these tools. Key requirements include experience with LLM tooling, package managers like npm or Cargo, and deep knowledge of vulnerability classes like CWE and the OWASP Top 10.

What does a Software Engineer earn in Remote?

Median $208800 from 354 postings across 50 companies.

See salary data

What you'll do

  • Design and ship analyzers that combine deterministic analysis with AI-driven reasoning to detect security vulnerabilities.
  • Build evaluation harnesses to measure false positives and missed findings against benchmark applications with known vulnerabilities.
  • Develop and maintain parsers for dependency manifests, lockfiles, and SBOMs to identify project dependencies.
  • Extend the automated remediation service to turn security advisories into automated merge requests for dependency updates.
  • Package security analyzers for use in CI jobs, AI agent workflows, and command-line tools.
  • Act as the directly responsible individual for team initiatives from initial design through final delivery.
  • Mentor intermediate engineers through code reviews, pair programming, and maintaining internal coding standards.
  • Participate in on-call rotations to troubleshoot product operations and urgent engineering issues.

What we're looking for

  • Substantial professional experience writing and testing production code in Go and/or Rust.
  • Demonstrated application security experience including vulnerability research, secure code review, or writing detection rules.
  • Fluency with vulnerability classes such as OWASP Top 10 and CWE.
  • Experience building LLM tooling like harnesses, agent pipelines, or evaluations.
  • Familiarity with package managers and dependency management in ecosystems like npm, Maven, pip, Bundler, or Cargo.
  • Demonstrated capacity to communicate technical problems clearly and write design proposals.
  • Experience evaluating AI-driven detection against labeled data (preferred).
  • Hands-on program analysis experience such as parsing, ASTs, or data-flow analysis (preferred).

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