Full-stack developer (AI-assisted development)

Full-stack developer (AI-assisted development)

At TechBiz Global, we are providing recruitment service to our TOP clients from our portfolio. We are currently seeking a Full-stack developer to join one of our clients' team. If you're looking for an exciting opportunity to grow in an innovative environment, this could be the perfect fit for you.

Responsibilities

• Develop, optimize, and maintain Next.js-based front-end applications with pixel-perfect UI and high performance across all 6 portals
• Build and maintain NestJS-based APIs, microservices, and scalable back-end architecture with Prisma ORM
• Own Prisma migration workflows - schema changes, migration generation, seeding, and coordination with QA on data integrity
• Deploy and manage infrastructure on AWS and Google Cloud Platform (dual-cloud architecture)
• Implement and maintain multi-tenant architectures with tenant isolation at the code level - each portal has distinct user roles and data access patterns
• Use Claude Code as your primary AI-assisted coding tool to accelerate development, generate code, debug, and refactor
• Leverage Cursor as a secondary AI IDE for rapid iteration and code exploration
• Orchestrate and configure sub-agents within Claude Code for complex multi-step development tasks (test generation, documentation, migration scripts, code reviews)
• Build MCP (Model Context Protocol) integrations to connect AI tooling with platform data sources and workflows
• Write code that passes SonarCloud quality gates on first push - understand code smell resolution, quality gate criteria, and static analysis compliance (4,484+ issues being burned down in waves)
• Respond to and address feedback from 5 PR review bots (Devin, Bugbot, Codex, Copilot, Augment) in addition to human reviewers
• Work on front-end aspects including data extraction tools, dynamic scheduling, dynamic pricing, and workflow automation interfaces
• Optimize application performance for millions of concurrent users - efficient database queries, connection pooling, caching strategies (Redis/ElastiCache), lazy loading, and code splitting
• Design and implement scalable data access patterns - pagination, cursor-based queries, read replicas, and query optimization for high-throughput workloads
• Build systems that handle tens of millions of sessions without degradation - connection management, rate limiting, graceful degradation, and horizontal scaling patterns
• Profile and resolve performance bottlenecks across the full stack: frontend rendering, API response times, database query plans, and cache hit ratios
• Collaborate closely with designers, product managers, and QA to deliver features rapidly
• Contribute to the Marcia Enabled ecosystem - building AI-powered features across the platform