Senior Backend Engineer, AI Governance

Job Overview

This role involves building backend systems for a paid product that provides visibility, policy controls, and compliance evidence for AI use in the software development lifecycle. It focuses on the intersection of AI, governance, and enterprise backend engineering, enabling customers to adopt AI agents confidently. Responsibilities span audit event pipelines, access control, AI agent artifacts, and the Model Context Protocol registry in an async-first environment.

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 the 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.

Qualifications

• 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.