Own and evolve DigitalOcean’s key management platform, designing secure, highly available cryptographic services and key lifecycle workflows while strengthening compliance, reliability, and security across teams.
Senior Software Engineer - Internal AI Agent Infrastructure
📜 Description
- Design and implement platform features based on engineering needs and feedback.
- Support additional GitLab instances and repositories to expand platform access.
- Manage and govern the MCP Gateway for approved internal tool integrations.
- Partner with security to ensure tooling compliance and appropriate administrative controls.
- Identify bottlenecks and improve platform usage and reliability.
- Own features through release, follow-up fixes, and technical debt.
🛠️ Requirements
- Experience improving developer experience (DevEx), such as building, buying, or integrating tools for internal engineering teams.
- Hands-on expertise with modern AI tooling, including MCP servers, agent skills, agent harnesses, and using AI agents in your daily workflow.
- A track record of designing and building platforms that scale, along with reliable, maintainable systems and processes.
- Experience partnering directly with internal users to gather feedback, measure adoption, and turn pain points into product improvements.
- Strong ownership and communication skills, including driving cross-team initiatives, writing clear technical documentation, and helping other engineers adopt new tools and practices.
- Machine learning experience is a plus, not a requirement.
- 5+ years of software development experience.
✨ Benefits
- Fun and collaborative office environment with in office amenities, food, drinks, outdoor space, and of course, pinball!
- Quarterly team offsites, giving developers a chance to interact with each other outside of the office and build camaraderie.
- Education budget you can flexibly spend on topics that interest you.
- QED (Qualtrics Engineer Development) Program encourages all engineers to invest in themselves up to 10% of their time each quarter to advance their careers.
Full job description
- Take initiative, be a self-starter, and propose ideas to move the team forward.
- Follow the latest industry trend changes in AI tooling and research how they could be applied to the platform.
- Possessing deep knowledge of agent concepts such as MCPs, skills, harnesses, and more.
- Advocate for changes that can improve platform usage, speed, or reliability.
- Use feedback from engineers to help shape platform work.
- Take responsibility for features through release and follow-up bug fixes.
- Develop experience building and maintaining an internal cloud agent platform.
- Learn about AI tools and developments by evaluating how they can be used at Qualtrics.
- Understand how to build and maintain security controls and provide AI governance to an enterprise.
- Hone your product management skills by learning the needs of our engineers to build out roadmaps boosting their productivity.
- Improve the platform by designing and implementing new features based on engineering needs and feedback.
- 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 integrations.
- Partner with our security team to ensure all new toolings are compliant and adequate admin controls are in place.
- Proactively improve platform use and reliability by identifying bottlenecks and making changes to address them.
- Own delivered features through release and address bugs and technical debt that arise.
- Experience improving developer experience (DevEx), such as building, buying, or integrating tools for internal engineering teams.
- Hands-on expertise with modern AI tooling, including MCP servers, agent skills, agent harnesses, and using AI agents in your daily workflow.
- A track record of designing and building platforms that scale, along with reliable, maintainable systems and processes.
- Experience partnering directly with internal users to gather feedback, measure adoption, and turn pain points into product improvements.
- Strong ownership and communication skills, including driving cross-team initiatives, writing clear technical documentation, and helping other engineers adopt new tools and practices.
- Machine learning experience is a plus, not a requirement.
- 5+ years of software development experience.
- The team has 6 people, all at senior level or above, and has an on-call rotation.
- Work is mostly focused coding, with a daily standup and usually about one weekly team discussion or design review.
- The team moves fast; we have at least one notable change each week that impacts all of engineering.
- The team uses feedback from engineers to guide platform improvements.
- The team's work includes reviewing new AI developments and considering how to make them usable by other engineers.
- Fun and collaborative office environment with in office amenities, food, drinks, outdoor space, and of course, pinball!
- Quarterly team offsites, giving developers a chance to interact with each other outside of the office and build camaraderie.
- Education budget you can flexibly spend on topics that interest you.
- QED (Qualtrics Engineer Development) Program encourages all engineers to invest in themselves up to 10% of their time each quarter to advance their careers.
For full-time positions, this pay range is for base per year; however, base pay offered within this range may vary depending on location, job-related knowledge, education, skills, and experience. A sign-on bonus and restricted stock units may be included in an employment offer. Full-time employees are eligible for medical, dental, vision, life and disability, 401(k) with match, paid time off, a wellness reimbursement, and mental health benefits. For a detailed look at our benefits, visit Qualtrics US Benefits.
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