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Software Product Builder - Enterprise Platform

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Onsite

Software Product Builder - Enterprise Platform

Ubiquiti Inc.

Software Product Builder - Enterprise Platform

Skills

TypescriptPythonGolangAIAWSCompliance

2 months ago

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Important information


Contract type:

Permanent

Location:

Taipei, Taiwan

Work mode:

Onsite

Published on:

8 August 2026

What they need


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 - Enterprise Platform : a hands-on product engineer who can combine strong product taste, AI-native engineering, and the ability to ship production-quality software.

This role is for builders who can move from ambiguous product opportunities to working systems quickly. You will design, prototype, build, and iterate on enterprise platform capabilities across cloud services, identity, security, administration, automation, and developer/operator 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 quality, reliability, and security.

The ideal candidate is not only able to define what should be built, but can personally build and ship it.

What You’ll Do

  • Identify high-impact enterprise platform opportunities by understanding user needs, operational pain points, and product gaps.
  • Turn ambiguous ideas into clear product specs, technical designs, prototypes, and production-ready features.
  • Build end-to-end platform capabilities across backend services, APIs, cloud infrastructure, identity, permissions, automation, observability, and admin workflows.
  • Use AI coding agents such as Codex, Claude Code, and Cursor to accelerate implementation, testing, refactoring, documentation, and iteration.
  • Collaborate closely with product, design, frontend, mobile, cloud, identity, security, and DevOps teams to deliver complete product experiences.
  • Ensure systems are secure, reliable, scalable, maintainable, and aligned with enterprise platform requirements.
  • Continuously improve agentic engineering workflows, including spec-driven development, AI-assisted coding, test generation, code review, and release readiness.

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 sense: able to simplify complex workflows, reason from user problems, and make practical tradeoffs.
  • Experience designing and implementing APIs, backend services, data models, integrations, distributed systems, or cloud-native applications.
  • 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, and code review.
  • Strong ownership, communication, and problem-solving skills.

Preferred Qualifications

  • Experience building enterprise software, cloud platforms, identity systems, admin consoles, 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, or secure enterprise workflows.
  • Experience using AI agents for multi-file implementation, refactoring, debugging, test generation, or release preparation.
  • Founder, early startup engineer, product engineer, or 0-to-1 builder experience is a strong plus.

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