Senior Software Engineer - AI Native Platform
Company: CloudBees Inc
Location: Austin, TX (Remote)
Salary: $180,000 - $205,000 a year
Type: Full-time
Remote: Yes
Posted: 2026-05-14
About this role
Job Title: Senior Software Engineer - AI Native Platform
Job Type: Full-time
Location: Remote - United States (Austin, Dallas, Houston)
NON-NEGOTIABLE: AI-Driven Mindset | Daily use of AI coding assistants is a hard requirement. We build AI; we use AI.
About CloudBees
CloudBees enables enterprises to deliver scalable, compliant, and secure software - empowering developers to do their best work. Seamlessly integrating into any hybrid and heterogeneous environment, CloudBees is more than a tool; it is a strategic partner in your cloud transformation journey, ensuring security, compliance, and operational efficiency while enhancing the developer experience across your entire software development lifecycle. CloudBees supports organizations at every step of their DevSecOps journey, whether using Jenkins on-premise or transitioning software delivery to the cloud. We are helping customers build the future, today.
About the Role
CloudBees is building the next generation of AI-native DevOps infrastructure, and we are looking for Senior Software Engineers who bring deep technical craft, a velocity-first mindset, and genuine excitement about building with and for AI. You will work in a fast-moving, high-trust engineering environment where your code ships to production and your ideas shape the roadmap. This role sits at the heart of our platform engineering effort.
Your Mission: Build the scalable, intelligent, and developer-first platform that powers CloudBees' mid-market growth engine. You will contribute across the full stack - from core pipeline intelligence and data architecture to API design and agentic orchestration - shipping working software fast and continuously improving what you build.
Key Responsibilities
- Design, develop, and ship high-quality, production-grade features across the CloudBees platform to address customer concerns with rapid turnaround
- Build AI-augmented workflows, integrations, and intelligent services ...