[Hiring] Senior Software Engineer - AI Native Platform @CloudBees Inc

Role Description

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.
• Contribute across the full stack - from core pipeline intelligence and data architecture to API design and agentic orchestration.
• Ship working software fast and continuously improve 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 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.

Qualifications

• 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.

Preferred (not required)

• 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.

Benefits

• Health Insurance
• Dental Insurance
• Vision Insurance
• Short & Long Term Disability
• Life Insurance
• HSA/FSA
• Remote Work Environment
• Flexible Time Off
• Paid Company Holidays
• Parental Leave
• Variable Bonus Plan dependent on your role
• Stock grant opportunities dependent on your role
• 401(k) with Company Match

EEO Statement

CloudBees is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. All employment decisions are made based on qualifications, merit, and business need, without regard to race, color, religion, sex, sexual orientation, gender identity, age, national origin, disability, veteran status, or any other protected characteristic as outlined by federal, state, or local laws.

Disclaimer

This job description is intended to describe the general nature and level of work being performed. It is not an exhaustive list of all duties, responsibilities, and qualifications required of employees assigned to this position. Duties, responsibilities, and activities may change at any time with or without notice.