Responsibilities
- 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.
Requirements
- 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.
Nice to Have
- 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.
