About the Role
We are seeking a highly skilled and experienced Java Backend Engineer to join our dynamic team. You will take full ownership of backend system design and development, ensuring high performance, scalability, and reliability. You will collaborate with cross-functional stakeholders, mentor junior engineers, and drive innovation in our backend services.
Responsibilities
Architect, Design, and Implement robust backend solutions in Java to support new features and products.
Lead End-to-End Projects: Own the entire development cycle (from requirements gathering to production deployment) with minimal supervision.
Optimize Performance & Scalability: Conduct code reviews, optimize databases, and fine-tune microservices to maintain responsive and reliable systems under high traffic.
Ensure Code Quality & Best Practices: Establish and enforce coding standards, testing strategies, and documentation for the team.
Collaboration: Share knowledge on Java best practices, and foster a culture of continuous improvement.
Cross-Functional Coordination: Work closely with product managers, frontend engineers, and DevOps to deliver cohesive, high-quality releases on schedule.
Troubleshoot and Debug: Diagnose issues in production, implement long-term fixes, and proactively prevent downtime or regressions.
Qualifications
Minimum Qualifications
Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related field.
1～3 years of professional experience in Java backend development.
Strong understanding of Spring/Spring Boot frameworks, RESTful API design, and microservices architecture.
Proficiency with SQL/NoSQL databases, and knowledge of database performance optimization.
Familiarity with CI/CD pipelines and containerization technologies (e.g., Docker, Kubernetes).
Demonstrated ability to independently lead projects from concept to deployment.
Excellent problem-solving skills and ability to troubleshoot complex systems in production environments.
Preferred Qualifications
Experience with search engine technologies (e.g., Elasticsearch, Apache Solr) for building and optimizing search solutions.
Familiarity with distributed storage or big data systems (e.g., TiDB, Hadoop, Spark, Hive) and high-volume data processing patterns.
Experience with cloud platforms (AWS, Azure, Tencent Cloud) and infrastructure as code (e.g., Terraform).
Solid knowledge of messaging systems (Kafka, RabbitMQ) and asynchronous processing patterns.
Familiarity with monitoring and observability tools (Prometheus, Grafana, ELK, etc.).
Proven track record of mentoring other engineers and driving technical roadmaps.
Proficient in Python.
Strong communication skills and the ability to collaborate effectively with a multidisciplinary team.
