platform engineer for AI agents

The Agent Development Platform is a cloud-native system designed to streamline AI agent orchestration, deployment, and observability at scale.

• Design and implement governance workflows for MCP server onboarding and approval within the enterprise registry;
• Develop lifecycle management controls for registry entries, including approval, active state validation, and decommission steps;
• Automate migration processes for MCP server configurations and metadata using Python ETL scripting;
• Enforce enterprise compliance policies through integrated governance gates across CI/CD pipelines;
• Build reporting mechanisms for auditability, access tracking, and compliance verification;
• Collaborate with security and platform governance teams to define validation criteria and approval rules;
• Ensure process scalability and reliability in multi-team, distributed environments;
• Deliver clear documentation on governance and migration procedures for platform users and stakeholders.

• 3+ Years of experience in platform or data engineering roles;
• Proven experience implementing enterprise governance workflow automation for platform services or registries;
• Proficiency in Python for scripting automation and ETL pipelines;
• Solid understanding of security and compliance best practices for enterprise systems;
• CI/CD process integration for governance and control enforcement;
• Nice to have: Exposure to MCP server architecture and registry design patterns, experience with workflow orchestration tools or governance frameworks in cloud-native environments, knowledge of audit logging, policy enforcement mechanisms, and role-based access models, background in migration strategies for distributed platforms operating at enterprise scale.

• Remote work in Portugal.