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Lead Java Developer
2 months ago
We are seeking a highly skilled and experienced Lead Java Developer to join our team at DATAECONOMY. As a key member of our development team, you will be responsible for leading the design, development, and deployment of scalable Java applications using the Spring framework.
Key Responsibilities- Team Leadership: Lead, mentor, and guide a team of Java developers to ensure the delivery of high-quality code and adherence to best practices.
- Application Development: Design, develop, and maintain Java-based applications using the Spring framework, ensuring they are scalable, robust, and maintainable.
- Cloud Integration: Architect and implement cloud-based solutions on AWS, leveraging services such as EC2, S3, RDS, Lambda, and more.
- Big Data Processing: Design and develop data processing applications using Apache Spark, integrating them with existing Java applications and cloud infrastructure.
- Microservices Architecture: Lead the development of microservices and RESTful APIs, ensuring seamless integration with frontend and other backend services.
- Performance Optimization: Monitor and optimize application performance, ensuring low latency, high availability, and efficient resource utilization.
- Collaboration: Work closely with product managers, architects, and other stakeholders to gather requirements and translate them into technical solutions.
- Code Reviews: Conduct regular code reviews to maintain code quality and provide constructive feedback to team members.
- Technical Documentation: Create and maintain technical documentation for architecture design and deployment processes.
- Continuous Integration and Deployment: Implement CI/CD pipelines using tools like Jenkins, Docker, and Kubernetes to automate the build, test, and deployment processes.
- Technical Skills: Proficiency in Java and related technologies (J2EE, JSP, Servlets), strong knowledge of RESTful API design and implementation, experience with cloud-native application development on AWS, familiarity with Spark Core, Spark SQL, and Spark Streaming, knowledge of relational databases (e.g., MySQL, PostgreSQL) and NoSQL databases (e.g., DynamoDB), experience with containerization (Docker) and orchestration tools (Kubernetes), proficiency in version control systems (Git).
- Experience with CI/CD tools like Jenkins, CircleCI, or GitLab CI.
- Knowledge of distributed computing and large-scale system design.
- Familiarity with data streaming technologies like Apache Kafka.
- Experience with frontend technologies such as Angular or React.