资深JAVA工程师 - 生物方向

We are seeking an experienced Backend Engineer to join our Signals team in Shanghai, focusing on building robust, scalable backend services for AI-powered features across our product portfolio. You will be responsible for designing and implementing microservices architecture, integrating AI capabilities, and ensuring high availability and performance of our SaaS platform, while leveraging modern AI coding assistants to maximize productivity.

Key Responsibilities Design, develop, and maintain scalable backend services and APIs for AI-powered applications Build and optimize microservices architecture to support distributed AI workloads Integrate LLM and AI agent capabilities into backend systems Troubleshoot and resolve complex issues in distributed systems and production environments Implement robust error handling, monitoring, and logging solutions Optimize database queries and system performance for high-traffic SaaS applications Collaborate with frontend engineers, AI engineers, and product teams on feature development Leverage AI coding assistants (GitHub Copilot, Claude Code, etc.) to write high-quality code efficiently Participate in architecture design, code reviews, and technical documentation Ensure security, scalability, and reliability of backend services 职位要求： Required Qualifications Technical Skills: Bachelor's degree or above in Computer Science or related field 5+ years of professional experience in enterprise application development Strong proficiency in Python (preferred) or Java Solid experience with microservices architecture and design patterns Hands-on experience building and maintaining SaaS applications Proven experience troubleshooting and debugging distributed systems in production Proficient in using AI coding assistants (GitHub Copilot, Claude Code, Cursor, etc.) for efficient development Experience with RESTful API design and implementation Familiarity with cloud platforms (AWS/Azure/GCP/Alibaba Cloud) Understanding of database systems (SQL and NoSQL) Experience with containerization (Docker) and orchestration (Kubernetes) Knowledge of message queues and event-driven architectures Strong problem-solving and analytical skills Language: Ability to use English as a working language for daily communication, documentation, and collaboration Preferred Qualifications: Experience integrating LLM APIs or building AI-powered backend services Knowledge of vector databases and semantic search technologies Familiarity with observability tools (Sumologic, Instana, etc.) Experience with CI/CD pipelines and DevOps practices Understanding of security best practices and compliance requirements Experience with high-concurrency and high-availability system design Knowledge of caching strategies (Redis, Memcached) Experience with agile development methodologies