About Ubiquiti

At Ubiquiti Inc., we create technology platforms for Businesses, Smart Homes, and Internet Service Providers, driven by our goal to connect everyone, everywhere. To date, Ubiquiti has shipped over 100 million devices worldwide, from ISP networking products to next generation of IT solutions. Our growth is made possible by the dedicated team of hundreds behind the scenes. From software developers and product managers to designers and strategists, Team UI is driven to achieve our common goal: Rethinking IT. At Ubiquiti, you’ll heighten your potential and broaden your horizons - all while shaping the future of connectivity.

Role Summary

We are looking for a Software Product Builder - UniFi Fabric Platform: a hands-on product engineer who combines strong Product taste and UX judgment, AI-native engineering, and the ability to ship production-quality software for UniFi Fabric.

This role is for builders who can move from ambiguous product opportunities to working systems quickly. You will design, prototype, build, and iterate on UniFi Fabric capabilities across Identity (Admins and Users), MSP, Zero Trust, provisioning, orchestration, administration, automation, and cloud-native platform workflows. You will use modern AI coding tools such as Codex, Claude Code, Cursor, and spec-driven development practices to accelerate delivery while maintaining high standards for product quality, reliability, security, and operational readiness.

The ideal candidate can define what should be built, propose practical UX or workflow improvements, and personally build and ship the system end to end.

What You’ll Do

• Identify high-impact UniFi Fabric opportunities by understanding user needs, operational pain points, and product gaps across Identity, Admins and Users, MSP, Zero Trust, provisioning, and orchestration.

• Turn ambiguous workflow problems into clear product specs, UX or wireframe proposals, technical designs, prototypes, and production-ready features.

• Build end-to-end UniFi Fabric capabilities across frontend workflows, backend services, APIs, cloud infrastructure, identity, permissions, provisioning, orchestration, observability, and admin experiences.

• Use AI coding agents such as Codex, Claude Code, and Cursor to accelerate multi-file implementation, testing, refactoring, documentation, debugging, and iteration while keeping strong engineering judgment.

• Collaborate closely with product, design, frontend, mobile, cloud, identity, security, QA/AQA, and DevOps teams to deliver complete product experiences.

• Ensure systems are secure, reliable, scalable, maintainable, cloud-native, and aligned with UniFi Fabric platform requirements.

• Continuously improve agentic engineering workflows, including spec-driven development, AI-assisted coding, test generation, code review, production readiness, and release confidence.

What We’re Looking For

• 5+ years of hands-on software engineering experience, with a track record of independently designing, building, and operating production systems.

• Strong proficiency in modern programming languages such as Golang, Python, or equivalent.

• Strong system design fundamentals — able to decompose complex problems, design scalable systems, and clearly reason about architecture choices, alternatives, and tradeoffs.

• Solid experience with APIs, distributed systems, and cloud-native applications, with practical knowledge of AWS, PostgreSQL, DynamoDB, Redis, Kafka/SQS, or equivalent technologies.

• Strong product sense and UX judgment — able to understand user problems, simplify complex workflows, and balance product value, user experience, and engineering cost.

• High ownership under ambiguity — able to move from an unclear problem to requirements, design, implementation, validation, and production delivery with minimal guidance.

• Strong production engineering fundamentals, including debugging, observability, reliability, scalability, and failure handling.

• Clear communication and collaboration skills, including the ability to explain why, alternatives considered, and pros/cons behind technical decisions.

• Proficiency with modern AI coding tools such as Codex, Claude Code, or equivalent tools.

Good to Have

• Experience designing and operating high-volume / high-traffic production systems.

• Experience in Zero Trust, cybersecurity, identity, IAM, SSO, RBAC, or enterprise security products.

• Experience leading technical designs, mentoring engineers, or driving cross-team initiatives.

• Founder, startup, technical lead, or 0-to-1 product building experience.