Full Stack Software Engineer - Python, React

Core Stack:

• Backend: Python (FastAPI)
• Frontend: TypeScript, JavaScript, React (Next.js and other modern framework)

Responsibilities:

• Ship full stack features across multiple initiatives (design → build → release → operate).
• Build and maintain services in Python/FastAPI, with clear API contracts and strong reliability.
• Build modern UI in TypeScript/React, with attention to performance and UX quality.
• Contribute to our content platform / CMS capabilities and workflows.
• Develop AI agents and automation workflows that improve our user product and business operational efficiency.
• Develop and iterate on personalisation, discovery and search logic (e.g., rules/strategies, ranking signals, experimentation support) in collaboration with product and data partners.
• Build and maintain internal solutions/systems that support teams across the organization.
• Own quality: you write tests, validate edge cases, and ensure your changes are production-ready.
• Troubleshoot and respond to production issues when needed.

Requirements:

• 2+ years shipping production full stack features.
• Solid skills in Python (FastAPI or similar) and React with TypeScript (Next.js or similar).
• Strong working knowledge of PostgreSQL, Redis or similar (schema design, query performance).
• Comfort working across multiple codebases and domains; you ramp up quickly.
• Own quality end-to-end: define test plan, implement automated tests, and verify changes before release.
• High autonomy: you proactively clarify requirements, propose solutions, and drive delivery with stakeholders.
• Strong English communication (spoken and written). Cantonese is a plus.

Nick to have:

• Experience with search/discovery systems (keyword search, ranking, relevance tuning).
• Experience with personalization, experimentation, feature flags, or analytics instrumentation.
• Practical experience building AI assistants/agents with guardrails and measurable outcomes.
• Experience with cloud platforms and CI/CD.
• Effective use of AI coding agents to amplify output while maintaining engineering quality.

Additional information:

• The team is lean — successful candidates are highly self-directed.
• Outcome-driven: coding is baseline; you’re measured on shipped business impact.
• Stakeholder-facing: you’re comfortable collaborating directly with product, editorial, operations, and engineering partners.
• Flexible & pragmatic: you choose the right level of engineering rigor based on risk, scope, and timelines.