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Senior Security Engineer - Enterprise AI Security

Posted An Hour Ago
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In-Office or Remote
6 Locations
124K-240K Annually
Senior level
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In-Office or Remote
6 Locations
124K-240K Annually
Senior level
The Senior Security Engineer will establish security frameworks for AI initiatives, manage non-human identities, and collaborate with cross-functional teams to ensure secure AI adoption across GitLab's internal tools.
The summary above was generated by AI

GitLab is an open-core software company that develops the most comprehensive AI-powered DevSecOps Platform, used by more than 100,000 organizations. Our mission is to enable everyone to contribute to and co-create the software that powers our world. When everyone can contribute, consumers become contributors, significantly accelerating human progress. Our platform unites teams and organizations, breaking down barriers and redefining what's possible in software development. Thanks to products like Duo Enterprise and Duo Agent Platform, customers get AI benefits at every stage of the SDLC. 

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.

We're looking for a Senior Security Engineer to lead security for GitLab's internal AI initiatives. You'll establish security frameworks for AI/ML systems used by our global workforce, ensuring responsible AI adoption while protecting against AI-specific threats.

What you'll do:

  • Design AI Security Architecture: Build comprehensive security frameworks for internal AI systems, including LLMs, productivity tools, and AI-powered business applications used by GitLab team members. 
  • Secure Model Context Protocol (MCP) Implementations: Monitor and secure MCP server deployments, establish authentication standards, and implement monitoring for MCP interactions across internal tools and development environments
  • Manage Non-Human Identities: Architect identity management systems for AI agents, service accounts, and automated systems. Implement zero-trust principles and least-privilege access controls for machine-to-machine communications
  • Govern Internal AI Tool Usage: Secure employee use of AI assistants (ChatGPT, Claude, through DLP controls, monitoring, and policy enforcement while protecting intellectual property and confidential data.
  • Product & Product Security Collaboration: Work with our Product and Product Security teams as necessary on GitLab Duo and other internal use cases.
  • Implement Data Protection Controls: Prevent sensitive corporate data leakage through AI systems, establish data classification frameworks, and design privacy-preserving techniques for internal AI analytics
  • Drive Cross-Functional Collaboration: Partner with IT, Legal, Product, Product Security and business teams to enable secure AI adoption, provide security training, and evaluate new AI tools through procurement processes
What you'll bring:
  • 5+ years information security experience with 2+ years in enterprise AI/ML security
  • Deep expertise in enterprise AI adoption, shadow IT risks, and data loss prevention
  • Strong experience with identity and access management, particularly non-human identity governance
  • Proven experience managing service accounts, API keys, certificates, secrets management, and automated system authentication
  • Proficiency in cloud security (AWS, GCP, Azure) and scripting (Python, Go, Ruby, Node.js)
  • Understanding of API security, OAuth, SAML, and modern authentication protocols
  • Excellent communication skills for GitLab's transparent, asynchronous, and global culture
Preferred Qualifications:
  • Experience with Model Context Protocol (MCP) and similar AI integration protocols
  • Hands-on experience managing enterprise AI deployments and governance programs
  • Knowledge of browser security, endpoint protection, and remote work security considerations
  • Experience with Enterprise AI platforms (OpenAI, Anthropic, Google Vertex AI, AWS Bedrock, etc)
  • Published research or contributions to enterprise AI security communities

How GitLab will support you

  • Benefits to support your health, finances, and well-being
  • All remote, asynchronous work environment
  • Flexible Paid Time Off
  • Team Member Resource Groups
  • Equity Compensation & Employee Stock Purchase Plan
  • Growth and Development Fund
  • Parental leave
  • Home office support

Please note that we welcome interest from candidates with varying levels of experience; many successful candidates do not meet every single requirement. Additionally, studies have shown that people from underrepresented groups are less likely to apply to a job unless they meet every single qualification. If you're excited about this role, please apply and allow our recruiters to assess your application.

The base salary range for this role’s listed level is currently for residents of listed locations only. Grade level and salary ranges are determined through interviews and a review of education, experience, knowledge, skills, abilities of the applicant, equity with other team members, and alignment with market data. See more information on our benefits and equity. Sales roles are also eligible for incentive pay targeted at up to 100% of the offered base salary.

California/Colorado/Hawaii/New Jersey/New York/Washington/DC/Illinois/Minnesota pay range
$124,300$239,800 USD

Country Hiring Guidelines: GitLab hires new team members in countries around the world. All of our roles are remote, however some roles may carry specific location-based eligibility requirements. Our Talent Acquisition team can help answer any questions about location after starting the recruiting process.  

Privacy Policy: Please review our Recruitment Privacy Policy. Your privacy is important to us.

GitLab is proud to be an equal opportunity workplace and is an affirmative action employer. GitLab’s policies and practices relating to recruitment, employment, career development and advancement, promotion, and retirement are based solely on merit, regardless of race, color, religion, ancestry, sex (including pregnancy, lactation, sexual orientation, gender identity, or gender expression), national origin, age, citizenship, marital status, mental or physical disability, genetic information (including family medical history), discharge status from the military, protected veteran status (which includes disabled veterans, recently separated veterans, active duty wartime or campaign badge veterans, and Armed Forces service medal veterans), or any other basis protected by law. GitLab will not tolerate discrimination or harassment based on any of these characteristics. See also GitLab’s EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know during the recruiting process.

Top Skills

AI
AWS
Azure
GCP
Go
Ml
Node.js
Python
Ruby

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