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