Software Product Builder - UniFi Fabric Platform at Ubiquiti Inc.

Taipei, , Taiwan -

Full Time

Start Date

Immediate

Expiry Date

20 Aug, 26

Salary

0.0

Posted On

22 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Golang, TypeScript, Python, Cloud-native Architecture, API Design, AI Coding Tools, UX Design, Distributed Systems, Identity and Access Management, Zero Trust, CI/CD, Backend Engineering

Industry

technology;Information and Internet

Description

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 3+ years of hands-on software engineering experience in backend, cloud, platform, full-stack, or product engineering. Strong ability to build and ship production software using Golang, TypeScript, Python, or similar modern languages. Strong product taste and UX judgment: able to simplify complex admin/user workflows, reason from user problems, propose practical wireframes, and make tradeoffs. Experience designing and implementing APIs, backend services, data models, integrations, distributed systems, cloud-native applications, or workflow migrations. Familiarity with cloud infrastructure, CI/CD, monitoring, debugging, security, and production operations. Proficiency with AI development tools such as Codex, Claude Code, Cursor, or equivalent AI coding agents. Experience with AI-native development practices such as spec-driven development, prompt/context engineering, agentic coding workflows, AI-assisted testing, debugging, and code review. High ownership under ambiguity, clear communication, and strong problem-solving skills in ambiguous product and technical environments. Preferred Qualifications Experience building enterprise software, cloud platforms, identity systems, admin consoles, MSP workflows, Zero Trust products, developer tools, or internal productivity tools. Familiarity with AWS, containers, serverless architecture, event-driven systems, RDBMS, NoSQL, or message queues. Knowledge of IAM, OAuth2, OIDC, SSO, RBAC, audit logs, compliance, Zero Trust, provisioning, orchestration, admin/user lifecycle, or secure enterprise workflows. Experience using AI agents for multi-file implementation, full-stack delivery, refactoring, debugging, test generation, or release preparation. Founder, early startup engineer, product engineer, or 0-to-1 builder experience is a strong plus. Key Evaluation Criteria The best candidate should demonstrate: Product taste and UX judgment — knows what is useful, simple, understandable, and worth building. End-to-end delivery — can personally build, validate, and ship high-quality software across product and platform boundaries. Agentic coding effectiveness — uses AI agents effectively, but validates output with strong engineering judgment, tests, and review. UniFi Fabric platform mindset — understands identity, admin/user workflows, reliability, security, scale, permissions, observability, and operational excellence. High ownership under ambiguity — can move from unclear product problems to shipped systems with minimal hand-holding.

Responsibilities

Design and build end-to-end UniFi Fabric capabilities across identity, provisioning, and orchestration using AI-native engineering tools. Collaborate with cross-functional teams to turn ambiguous product opportunities into production-ready cloud-native features.