Senior Software Engineer - AI Native Platform

CloudBees enables enterprises to deliver scalable, compliant, and secure software. They are seeking a Senior Software Engineer to build the next generation of AI-native DevOps infrastructure, contributing across the full stack and ensuring rapid delivery of high-quality features.

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 that reduce friction for development teams
• Collaborate closely with Product and Intelligence Solutions Architecting to translate customer pain into scalable technical solutions
• Participate in architecture and design reviews with a focus on velocity, reliability, and maintainability
• Actively use AI coding assistants and LLM-powered development tools to accelerate delivery
• Write automated tests, maintain CI/CD pipeline hygiene, and hold a high bar for code quality
• Contribute to a culture of technical excellence - through code reviews, documentation, and knowledge sharing

Requirements:

• 5+ years of professional software engineering experience with at least 2 years in a senior or equivalent role
• Proficiency in one or more of: Java, Go, Python, or TypeScript at a production scale
• Experience building and operating distributed systems, APIs, or cloud-native services
• Deep, hands-on expertise with CI/CD pipelines and modern DevOps practices - not familiarity, but fluency
• Experience with DevOps toolchains (Jenkins, GitHub Actions, GitLab CI, Tekton, ArgoCD, or equivalent)
• Background in test intelligence, flaky test detection, CI observability, or software quality infrastructure
• Active daily use of AI coding tools (GitHub Copilot, Cursor, Claude, Codeium, or equivalent) - this is non-negotiable
• Strong sense of ownership - you ship, monitor, and own what you build
• Excellent async communication skills; this is a distributed team
• Experience building ML pipelines, feature stores, or intelligent data systems
• Familiarity with agentic AI frameworks (LangChain, LangGraph, CrewAI, or equivalent)
• Prior work in a startup or high-growth engineering environment