21 days ago
Taipei, TaiwanMid Level
Responsibilities
- Identify high-impact enterprise platform opportunities by understanding user needs, operational pain points, and product gaps.
- Translate ambiguous ideas into product specifications, technical designs, prototypes, and production-ready features.
- Build end-to-end platform capabilities across backend services, APIs, cloud infrastructure, identity, permissions, automation, observability, and administration workflows.
- Use Codex, Claude Code, Cursor, and AI coding agents for implementation, testing, refactoring, documentation, and iteration.
- Collaborate 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.
- Improve agentic engineering workflows, including AI-assisted coding, test generation, code review, and release readiness.
Requirements
- At least 3 years of hands-on software engineering experience in backend, cloud, platform, full-stack, or product engineering.
- Ability to build and ship production software using Golang, TypeScript, Python, or similar modern languages.
- Strong product sense and ability 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, monitoring, debugging, security, and production operations.
- Proficiency with AI development tools such as Codex, Claude Code, Cursor, or equivalent AI coding agents.
- Experience with Spec-Driven Development, prompt and context engineering, agentic coding workflows, AI-assisted testing, and code review.
- Strong ownership, communication, and problem-solving skills.
- Preferred experience with enterprise software, cloud platforms, identity systems, administration consoles, developer tools, or internal productivity tools.
- Preferred familiarity with AWS, containers, serverless architecture, event-driven systems, RDBMS, NoSQL, or message queues.
- Preferred knowledge of IAM, OAuth2, OIDC, SSO, RBAC, audit logs, compliance, Zero Trust, or secure enterprise workflows.
- Founder, early startup engineer, product engineer, or 0-to-1 builder experience is preferred.
Tech Stack
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