Backend Engineer(Java)

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.

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.

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.