全栈开发工程师（AI辅助开发）

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

Requirements

• AI-Assisted Development (Critical): Proven, daily experience using Claude Code (or equivalent

agentic coding tool) as your primary development environment. You must demonstrate fluency in
prompt engineering for code, sub-agent orchestration, multi-file refactoring via AI, and AI-driven test
generation.

• 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 resolve
bottlenecks 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 and
memory consumption at scale.

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

Platform (GKE, Cloud Run, BigQuery, Cloud Functions)

• Experience in multi-tenant front-end and back-end architecture with tenant isolation

• Redis/ElastiCache for caching and session management (this is core infrastructure, not optional)

• pnpm monorepo experience - the codebase is a monorepo with pnpm workspaces. This is a daily

workflow requirement

• SonarCloud compliance - understanding quality gates, code smell categories, and writing clean

code that passes static analysis

• Proficiency with CI/CD pipelines (GitLab CI, GitHub Actions) and deployment automation

• Comfortable with remote development environments - developers work on EC2 dev boxes accessed

via Tailscale VPN, not local machines. SSH-based workflows required

• Experience with real-time features: Socket.io, Redis, BullMQ

• Security hygiene: IP allowlists, secret scanning, and push protection are enforced at the GitHub org

level. Pushing secrets triggers alerts. Security consciousness is non-negotiable.
Nice-to-Have Skills:

• Experience building or integrating MCP servers and tools

• Background in LLM integration (API calls, prompt management, token optimization)

• Exposure to serverless architecture and microservices integration on AWS/GCP

• Experience in healthcare/veterinary/scheduling-heavy applications

Originally posted on Himalayas