
1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
🕒 Yesterday
🌐 United States, Canada – Remote
💵 $168k - $238k / year
⏰ Full Time
🔴 Lead
👮♂️ Cybersecurity / Security Engineer
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1001 - 5000 employees
Founded 2014
💼 Consulting
📣 Marketing
🤖 Artificial Intelligence
💰 Secondary Market on 2020-11
Consulting • Marketing • Artificial Intelligence
GitLab is the most comprehensive AI-powered DevSecOps platform, offering tools for automated software delivery, security, and compliance throughout the software development lifecycle. It provides solutions across areas such as AI-assisted development, continuous integration/continuous deployment (CI/CD), source code management, and vulnerability management. GitLab aims to simplify and accelerate software delivery by uniting development, security, and operations on a unified platform. It is particularly recognized for its AI code assistants and has been named a leader in the Gartner Magic Quadrant™ for DevOps Platforms, making it a preferred choice for many enterprises.
• Design comprehensive identity and AI access solutions, including AI agent governance frameworks and privileged access workflows with just-in-time provisioning • Replace low-code automation with engineered Python services on GCP Cloud Run with source control, tests, CI, and observability • Codify Okta, Lumos, and non-human identity platforms in Terraform/OpenTofu/Pulumi and migrate click-ops to peer-reviewed infrastructure-as-code • Re-architect identity and access across GCP and AWS organizations, including resource hierarchy, secure-by-default guardrails, workload identity federation, and least-privilege access • Lead identity and access engineering for enterprise AI platforms, including administration, SSO and SCIM integration, audit logging, data controls, and policy enforcement • Design monitoring and management solutions for service accounts, API keys, certificates, AI agents, and MCP integrations; deploy and operationalize the NHI platform • Drive cross-functional initiatives with Security, IT, Engineering, Enterprise AI, and the Office of the CIO • Mentor senior and intermediate engineers on technical implementation and strategic thinking
• 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) • Awareness of AI-specific risks including prompt injection, MCP attack surface, agent identity, and data leakage • Daily engineering practice with AI tooling such as Claude Code, Cursor, or similar • 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 • 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 migration and stakeholder work
• 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
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