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Jobs/Backend Engineer Role/GitLab - Senior Backend Engineer, SSCS: AI Governance
GitLab

GitLab - Senior Backend Engineer, SSCS: AI Governance

Remote - India+ Equity3w ago
RemoteSeniorAPACArtificial IntelligenceSoftwareBackend EngineerPythonGovernanceRubyRuby on RailsPostgreSQL

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Requirements

• Extensive experience building backend applications with Ruby on Rails in production environments. • Proficiency in Python and experience building backend services that support AI infrastructure, gateways, or adjacent product systems. • Extensive experience with PostgreSQL and other data-intensive databases such as ClickHouse, including schema design, partitioning strategies, and efficient query patterns for event-heavy workloads. • Experience building REST or GraphQL APIs and designing backend systems for reliable storage, retrieval, and governance workflows. • Solid understanding of authorization, access control, and enterprise governance concepts in web application architectures. • Familiarity with regulatory compliance, auditability, or enterprise governance requirements, and the ability to apply them in production systems. • Clear written communication skills and comfort working effectively in a remote, async-first team. • Helpful experience includes audit trails, telemetry, event streaming, SIEM integrations, webhook delivery, enterprise retention requirements, AI agent infrastructure, large language models, the Model Context Protocol (MCP), or compliance, observability, and enterprise security products. • You'll join the AI Governance team within GitLab's Secure, Scale, and Compliance area. We focus on helping organizations gain visibility into and govern AI usage inside GitLab. Our work spans two broad problem spaces: visibility, such as audit events, usage tracking, and observability, and policy controls, such as controls that help protect projects and meet compliance requirements. • We are building this team alongside a parallel AI Governance team, with both groups contributing to different parts of a fast-changing roadmap. You'll work with a distributed group of engineers and collaborate with adjacent AI and Continuous Delivery teams as we integrate governance capabilities more deeply into the platform. It's an interesting team for engineers who want to work on emerging product challenges at the intersection of AI, compliance, and large-scale enterprise software. For more on how related teams work, see Team Handbook Page. • 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 • 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. • 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. • Country Hiring Guidelines:

Responsibilities

• Implement and evolve the AI audit event pipeline, including event ingestion, schema normalization, storage design, partitioning, retention, and export capabilities. • Implement access control for AI Governance features by integrating permissions for audit logs, policy configuration, and governance dashboards into GitLab's existing authorization model. • Contribute backend functionality for the AI agent artifact feature, supporting structured storage and retrieval of agent run metadata alongside existing CI/CD artifacts. • Build backend services for the MCP registry, including tool metadata and enforcement controls that can restrict or block access when needed. • Design and optimize data models and queries for high-write, event-heavy systems using PostgreSQL and ClickHouse. • Write and maintain solid RSpec and integration test coverage, while helping improve team test reliability practices. • Contribute to architecture decisions and deliver implementations with ownership, while working closely with partner teams in AI and Continuous Delivery.

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