Senior Software Engineer - Internal AI Agent Infrastructure

📋 Description

• Improve the platform by designing and implementing new features based on engineering needs and
• Expand access to the platform by supporting new GitLab instances and other repositories.
• Enable internal tool use by managing and governing our MCP Gateway which controls all MCP
• Partner with our security team to ensure all new toolings are compliant and adequate admin controls
• Proactively improve platform use and reliability by identifying bottlenecks and making changes to
• Own delivered features through release and address bugs and technical debt that arise.

🎯 Requirements

• Experience improving developer experience (DevEx), such as building, buying, or integrating tools
• Hands-on expertise with modern AI tooling, including MCP servers, agent skills, agent harnesses
• A track record of designing and building platforms that scale, along with reliable, maintainable
• Experience partnering directly with internal users to gather feedback, measure adoption, and turn
• Strong ownership and communication skills, including driving cross-team initiatives, writing clear
• Machine learning experience is a plus, not a requirement.

🎁 Benefits

• Fun and collaborative office environment with in office amenities, food, drinks, outdoor space, and
• Quarterly team offsites for developers to interact and build camaraderie.
• Education budget flexibly spend on topics that interest you.
• QED (Qualtrics Engineer Development) Program encourages engineers to invest up to 10% of their time