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
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
