Full-Stack Developer

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

AI-Assisted Development (Critical): Proven, daily experience using Claude Code (or equivalent agentic coding tool) as your primary development environment. You must demonstrate fluency inprompt engineering for code, sub-agent orchestration, multi-file refactoring via AI, and AI-driven testgeneration.

Claude Code & Sub-Agents: Hands-on experience configuring and using sub-agents for parallelized tasks - writing tests, generating docs, running migrations, and reviewing PRs via AI.

Cursor / AI IDE: Comfortable using Cursor as a secondary tool for code exploration, inline completions, and rapid prototyping.

Strong JavaScript/TypeScript and Next.js expertise (App Router, Server Components, Suspense)

Deep proficiency with NestJS for backend API development, microservices patterns, and Prisma

ORM (schema design, migrations, seeding)

Scale & Performance (Critical): Proven experience building and optimizing applications serving millions of users with high concurrency. You must understand database query optimization,connection pooling, caching strategies, horizontal scaling patterns, and how to profile and resolvebottlenecks across the full stack.

Cost Optimization: Experience identifying and reducing unnecessary cloud spend, optimizing database costs, right-sizing infrastructure, and writing efficient code that minimizes compute andmemory consumption at scale.

Proficiency with AWS services (ECS, Lambda, S3, CloudFront, RDS, SQS) and Google Cloud

Platform (GKE, Cloud Run, BigQuery, Cloud Functi