InternFlow

Greenhouse ·

full-time

Intermediate Backend Engineer - Code Security

Gitlab · Bangalore

GitLab provides an intelligent orchestration platform for DevSecOps, helping organizations boost developer productivity, improve operational efficiency, and reduce security and compliance risk. As an Intermediate Backend Engineer on the Security Factory: Code Security team, you will focus on building and enhancing the tools that identify and fix security issues in code and open‑source dependencies. Day‑to‑day work includes developing secure, performant parsers for dependency manifests, lockfiles, and SBOMs; extending support for new package ecosystems; creating hybrid analyzers that combine rule‑based detection with AI reasoning; evaluating analyzer effectiveness against known‑vulnerability benchmarks; writing detection rules mapped to CWE; packaging analyzers for CI jobs, AI agent workflows, and CLI tools; and improving the automated remediation service that opens merge requests for dependency updates. You will also participate in on‑call rotations and help maintain internal code standards through reviews. The role suits engineers with solid backend experience in Go and/or Rust, familiarity with AI or LLM tools for technical content, and an interest in security analysis, dependency management, and building reliable, testable infrastructure.

backend engineeringgo developmentrust programmingsecurity analysisai llm toolsdependency parsingvulnerability detectioncode remediationci integrationintermediate level

GitLab is the intelligent orchestration platform for DevSecOps. GitLab enables organizations to increase developer productivity, improve operational efficiency, reduce security and compliance risk, and accelerate digital transformation. More than 50 million registered users and more than 50% of the Fortune 100* trust GitLab to ship better, more secure software faster. The same principles built into our products are reflected in how our team works: we embrace AI as a core productivity multiplier, with all team members expected to incorporate AI into their daily workflows to drive efficiency, innovation, and impact. GitLab is where careers accelerate, innovation flourishes, and every voice is valued. Our high-performance culture is driven by our values and continuous knowledge exchange, enabling our team members to reach their full potential while collaborating with industry leaders to solve complex problems. Co-create the future with us as we build technology that transforms how the world develops software. * Fortune 500® is a registered trademark of Fortune Media IP Limited, used under license. Claim based on GitLab data. Fortune 100 refers to the top 20% ranked companies in the 2025 Fortune 500 list, published in June 2025. Fortune and Fortune Media IP Limited are not affiliated with, and do not endorse products or services of GitLab. Intermediate Backend Engineer, Security Factory: Code Security An overview of this role As an Intermediate Backend Engineer on GitLab's Security Factory: Code Security team, you'll help developers find and fix security issues in the code they write and the open source components they depend on. Your work connects dependency analysis, vulnerability detection, and automated remediation. You'll build parsing that tells the security analysis engine which libraries and frameworks a project uses, extend a service that turns security advisories into dependency update merge requests, and develop hybrid analyzers that combine rule-based detection with artificial intelligence (AI) reasoning. You'll help evaluate how well those analyzers find real vulnerabilities and expand coverage of libraries, frameworks, and AI agent tooling. We use AI-assisted development tools in our daily work and expect you to use them effectively and with good judgment. What you’ll do Develop secure, well-tested, performant parsing for dependency manifests, lockfiles, and software bills of materials (SBOMs). Extend support for new package ecosystems and formats in the analysis engine and remediation service. Build and apply analyzers that combine deterministic analysis with AI-driven analysis, working with the team's technical leadership. Review their results and measure false positives and missed findings against benchmark applications with known vulnerabilities. Create detection rules mapped to Common Weakness Enumeration (CWE) and the test fixtures that prove they work. Contribute to packaging analyzers for continuous integration (CI) jobs, AI agent workflows, and command-line tools, reporting findings in GitLab's standard security report formats. Extend the automated remediation service, from running dependency updates in a sandbox to opening merge requests. Solve technical problems of moderate scope and complexity. Identify technical debt that slows the team down, and propose and implement improvements. Write maintainable code that meets our internal standards, and help maintain those standards through code review. Participate in on-call rotations to troubleshoot product operations, security operations, and urgent engineering issues. What you’ll bring Experience using AI or large language model (LLM) tools to generate or evaluate technical content, with the judgment to know when output is trustworthy and when it isn't. Solid professional experience writing and testing production code in a systems language, particularly Go and/or Rust. We use both, plus Ruby for remediation and Python for some analyzers, and value a willingness to work across them. A willingness to learn how vulnerabilities arise in code and the software supply chain, explore common vulnerability classes such as the Open Worldwide Application Security Project (OWASP) Top 10 and CWE, and apply static analysis to detect them. Deep expertise isn't required, and we'll help you develop it. The ability to organize your work and follow through on tasks independently in a remote, largely asynchronous environment. The ability to communicate clearly and concisely about technical problems and propose iterative solutions. Helpful, but not required: experience with containerized workflows and continuous integration and continuous delivery (CI/CD), or a willingness to learn them; package managers and dependency tooling such as npm, Maven, pip, Bundler, or Cargo; web or mobile frameworks; parsing, abstract syntax trees (ASTs), program analysis, or detection rules; or evaluating AI-driven detection against labeled data. We use Docker heavily. About the tea

RoleIntermediate Backend Engineer - Code Security
CompanyGitlab
LocationBangalore
Typefull-time
CompensationNot disclosed
Posted2026-10-16
DeadlineRolling

Typical process for this type of role

A general guide — the exact steps for this specific listing may vary; check the original posting for details.

  1. 1ApplicationSubmit your resume through the apply link.
  2. 2ScreeningRecruiter reviews your background against the role.
  3. 3AssessmentA technical test, assignment, or coding round, depending on the role.
  4. 4Interview(s)One or more rounds with the hiring team.
  5. 5OfferOffer letter with compensation and start date.

Before you apply

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Intermediate Backend Engineer - Code Security at Gitlab: frequently asked questions

What is the salary for this role?
Gitlab has not stated compensation in the listing. Check the original posting or ask during the application process.
Is the Intermediate Backend Engineer - Code Security position remote, hybrid or onsite?
The listing gives Bangalore as the location and does not state a work mode.
What is the application deadline?
Gitlab has not listed a fixed deadline, so apply early in case the opening is filled.
How do I apply for the Intermediate Backend Engineer - Code Security role?
Use the Apply button on this page. It opens the original listing on job-boards.greenhouse.io, where you submit your application with the company.

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