All roles at JumpCloud® are Remote unless otherwise specified in the Job Description.

About JumpCloud®

JumpCloud® is the AI-powered unified IT management platform designed to secure the modern workforce. By consolidating identity, device, and access management, JumpCloud provides intelligent, secure IT that scales from human users to autonomous AI agents. We help organizations around the globe eliminate complexity and turn AI risk into an optimized advantage, ensuring the right people and agents have secure access to the right resources at all times.

JumpCloud is Intelligent, Secure IT.

About the Role

As a Software Engineer, AI Platform, you will be a founding member of our new AI Platform team, playing a pivotal role in shaping the future of AI at JumpCloud. This isn’t about just plugging in an API and calling it a day—we’re building a core platform that will allow every other team at JumpCloud to build smart, automated tools for our customers.

You’re someone who "gets" how AI works in the real world. You know that LLMs can be unpredictable, and you enjoy the challenge of building the systems (like memory, orchestration, and evaluation loops along with RAG and MCP servers) that make them reliable and scalable. As a member of this team, you’ll have a huge say in our technical direction as we grow. If you love the idea of building something from scratch that actually helps IT admins solve messy, real-world problems, you’ll fit right in.

In this role, you will:

Design, develop, and implement highly scalable and reliable full-stack applications using Go, Python, Node.js, and relevant front-end frameworks.

Work extensively with AWS Cloud Services, including but not limited to EC2, S3, Lambda, DynamoDB, RDS, SQS, and SNS.

Manage and deploy containerized applications using Kubernetes, ensuring high availability and performance.

Collaborate with product managers, UX/UI designers, and other engineers to translate business requirements into technical solutions.

Write clean, maintainable, and well-documented code, adhering to best practices and coding standards.

Participate in code reviews, providing constructive feedback and ensuring code quality.

Troubleshoot and debug production issues, providing timely resolutions.

Contribute to the continuous improvement of our development processes and tools.

Stay up-to-date with emerging technologies and industry trends, evaluating their potential impact on our products.

You have:

4-6 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 across the entire software development lifecycle, from requirements gathering and design to development, testing, and deployment.

Agent-Based Systems: Hands-on experience creating and managing intelligent agents or similar automated systems to perform specific tasks.

Cloud and DevOps: Extensive experience with cloud platforms (e.g., AWS, GCP, Azure) and modern DevOps practices, including CI/CD, Infrastructure as Code (IaC), and observability tools.

Strong Communication: Excellent communication and collaboration skills, with the ability to influence technical and business strategy.

Problem-Solving: A pragmatic and innovative problem-solver who can navigate ambiguity and deliver high-quality solutions.