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An overview of this role
The Corporate Security Identity Team is on a mission to transform how our workforce ecosystem securely accesses the tools they need to do their best work, advancing from foundational controls to sophisticated, automated governance across our identity platforms and our emerging AI tooling.
As a Staff Security Engineer, you'll be a senior technical leader and strategic anchor on the team. You're passionate about designing elegant solutions to complex identity challenges, whether that's architecting enterprise-scale conditional access policies, codifying our configuration of our identity platforms, or building governance frameworks for AI agents and non-human identities. You'll be responsible for critical systems, write technical proposals that influence our roadmap, raise the bar through design and code review, and lead cross-functional initiatives that span Security, IT, Engineering, Compliance and People teams.
We're deliberately moving off click-ops and low-code platforms. Configuration is becoming peer-reviewed code; automation is becoming tested code running on GCP Cloud Run. Join us to lean in!
Design comprehensive identity and AI access solutions that scale with our business growth, from AI agent governance frameworks to privileged access workflows that eliminate standing access through just-in-time provisioning
Replace low-code automation with engineered services, migrating our existingiPaaS automation to Python services on GCP Cloud Run with source control, tests, CI and observability
Codify our identity platforms in Terraform/OpenTofu/Pulumi, leading the migration of Okta, Lumos, and our NHI platform from click-ops to peer-reviewed infrastructure-as-code, with a focus on global critical policies
Help re-architect identity and access across our GCP and AWS organizations, partnering on resource hierarchy design, secure-by-default guardrails (org policies, SCPs, permission boundaries), workload identity federation, and a credible path to least privilege for both human and workload access
Lead identity and access engineering for our enterprise AI platforms including administration, SSO and SCIM integration, audit logging, data controls, and policy enforcement for Claude (web, Claude Code, Cowork) and adjacent tools
Pioneer non-human identity governance by designing monitoring and management solutions for service accounts, API keys, certificates, AI agents, and MCP integrations, and leading deployment, integration, and operationalization of our NHI platform across the SaaS estate
Drive cross-functional initiatives with Security, IT, Engineering, Enterprise AI, and the Office of the CIO to extract requirements from ambiguous business needs and translate them into actionable technical specifications
Mentor senior and intermediate engineers on technical implementation and strategic thinking, helping them develop expertise in modern identity and AI security practices
What you’ll bring
Extensive IAM experience designing and implementing enterprise-scale solutions, with demonstrated time at a Staff or senior IC level
Expert-level Okta expertise including Identity Engine, advanced authentication policies, lifecycle workflows, and API automation
Strong infrastructure-as-code practice with Terraform/OpenTofu/Pulumi, including provider experience for SaaS identity platforms and a track record of migrating click-ops to code
Proficiency writing and shipping Python as a software engineer designed as modular, tested, code-reviewed, deployed as services (GCP Cloud Run or equivalent serverless runtime) and instrumented for failure
Cloud identity depth in GCP and/or AWS, including resource hierarchy and organization design, IAM policy models, workload identity federation, and preventive controls such as org policies, SCPs, and permission boundaries
Hands-on experience administering or governing enterprise AI platforms (Anthropic Claude preferred; OpenAI ChatGPT Enterprise, Google Gemini Enterprise, or similar acceptable), and awareness of AI-specific risks including prompt injection, MCP attack surface, agent identity, and data leakage
A working practice of building with AI tooling you use agentic tools (Claude Code, Cursor, or similar) in your daily engineering work, iterate on your own workflows as capabilities shift, and can bring the rest of the team along. The tooling landscape changes monthly and identity is at the center of it; we want someone whose instincts stay current because they're a practitioner
Experience with IGA platforms like Lumos, ConductorOne, or similar, with a preference for managing them declaratively
Experience in regulated environments with knowledge of compliance frameworks (FedRAMP, SOC2, SOX), including change management, evidence collection, and audit support
יתרון
Passion for emerging identity challenges including AI agent governance, non-human identity management, zero-trust architecture, and behavioral analytics
Experience carrying a cloud org restructuring through to completion, including the migration and stakeholder work, not just the target-state design
The base salary range for this role’s listed level is currently for residents of the United States only. This range is intended to reflect the role's base salary rate in locations throughout the US. 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, alignment with market data, and geographic location. The base salary range does not include any bonuses, equity, or benefits. 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.
United States Salary Range
$168,000—$238,000 USD
How GitLab Supports Full-Time Employees
Benefits to support your health, finances, and well-being
Flexible Paid Time Off
Team Member Resource Groups
Equity Compensation & Employee Stock Purchase Plan
Growth and Development Fund
Parental Leave
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.
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