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 a 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