出海雷达

Full-stack developer (AI-assisted development)

AI开发工程未标注地域
公司TechBiz Global
薪资未公开
工作地点Worldwide
地域资格未标注地域
时区要求日间重叠约 9 小时,基本正常作息
用工类型Full Time
发布时间今天
数据来源Himalayas
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关于本页中文:职位描述由本机离线模型翻译,属机器翻译,供快速判断用;正式沟通与投递请以英文原文为准。官方翻译通道恢复后会自动重译升级。

在 TechBiz 全球,我们正在为我们的顶级客户提供招聘服务。我们目前在寻找一个全堆积开发人员加入我们的客户团队之一。如果你想在创新环境中成长的令人兴奋的机会,这可能是适合你的完美。责任:·开发,优化和维护基于 Next.js 的前端应用程序,具有像素完美的 UI 和高性能在所有6个门户网站上 ·使用 Prisma ORM 建立并维护 NestJS 基于 API,微服务以及可扩展后端架构 ·自有 Prisma 迁移工作流程 - 方案更改,迁移生成,种植和与 QA 协调数据完整性。· 在 AWS 和 Google 云平台 (双云架构)上部署和管理基础设施 · 在代码层面实施和维护与租户隔离的多租客架构 - 每个门户网站都有不同的用户角色和数据访问模式 · 使用 Claude Code 作为你的主要 AI-辅助编程工具来加速开发,生成代码,调试和重组 ·利用 Cursor 作为快速代和代码探索的次级 AI IDE ·为复杂的多步骤开发任务 (测试生成,文档,迁移脚本,代码审查)组织和配置 Claude Code 中的子代理人。· 建立 MCP (模型语境协议)的集成,将 AI 工具与平台数据源和工作流连接 · 在第一步写代码 - 了解代码嗅觉分辨率,质量网关标准以及静态分析合规性 (4.484+个问题被烧毁在波浪中)· 除了人类审查员之外,还应对5个 PR 评论机器人 (Devin, Bugbot, Codex, Copilot, Augment) 的反意见 · 处理包括数据提取工具,动态定制,动态价格和工作流自动化界面等前端方面的工作 · 优化应用程序性能为数百万同行用户 - 有效查询,连接集成,缓存策略 (Redis/ElastiCache),惰加载和代码分区 •设计和实施可扩展的数据访问模式 - 页面化,基于线程查询,阅读复制和高吞吐量工作负载的查询优化 •构建处理数百万次会议无损的情况下系统 - 连接管理,速度限制,优雅降解和水平缩放模式 • 在整个堆积中配置并解决性能瓶:前端转换,

查看英文原文

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

本页面信息整理自 Himalayas,版权归原发布方所有。职位可能随时关闭,投递请以原始页面为准。 本站只做信息聚合展示,不参与招聘流程,也不向求职者收取任何费用。

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