Software Engineer
Senior engineer to design and build JumpCloud's AI Platform, shaping architecture, developing scalable services, and integrating machine‑learning models using Python, Go, Kubernetes, AWS, Docker, and RESTful APIs while mentoring a growing team.
All roles at JumpCloud are Remote unless otherwise specified in the Job Description.
About JumpCloud
JumpCloud ® delivers a unified open directory platform that makes it easy to securely manage identities, devices, and access across your organization. With JumpCloud , IT teams and MSPs enable users to work securely from anywhere and manage their Windows, Apple, Linux, and Android devices from a single platform. JumpCloud is IT Simplified.
About the Role
JumpCloud is seeking a Senior Software Engineer to join our newly formed AI Platform team. As a founding member, you’ll have a huge say in our technical direction and a chance to mentor others as we grow.
You will bridge the gap between cutting-edge LLM research and production-grade engineering. Your mission is to design and build the end-to-end architecture for JumpCloud ’s AI platform—spanning model orchestration, tool integration, and real-time decision systems..This is a unique opportunity for an experienced and ambitious engineer to move beyond simple integration and build a scalable platform that empowers our entire engineering organization to ship agentic AI solutions solving real-world security and IT problems.
In this role, you will:
Lead the Vision: Drive the strategy, planning, and roadmap for our AI platform, identifying key opportunities to integrate AI into every stage of the product development lifecycle.
Architect and Build : Design, develop, and maintain a robust and scalable AI platform. This includes creating and managing intelligent agents to automate tasks in areas such as requirements gathering, story creation, development, testing, CI/CD, and observability.
End-to-End Ownership : Take full ownership of AI initiatives, from initial ideation and proof-of-concept to deployment, monitoring, and ongoing support.
Mentor and Collaborate : Serve as a technical leader and mentor to other engineers, evangelizing AI best practices and collaborating with product managers, designers, and other engineering teams.
Drive Operational Excellence : Ensure the AI platform is reliable, observable, and secure. Develop and maintain robust CI/CD pipelines, monitoring systems, and incident response protocols.
Customer-Centric Mindset : Work closely with customer support and product teams to address customer escalations and use feedback to improve AI-driven solutions.
You have:
6-8+ years of experience in software engineering, with a significant focus on building and scaling platforms.
Deep Expertise in AI : Proven experience in designing, building, and deploying machine learning models and AI-driven systems in a production environment.
Platform Engineering : Strong background in platform engineering, including building reusable services, APIs, and infrastructure to support multiple teams.
Full-Stack Proficiency : Experience acros
Posted June 21, 2026