The applications will utilize a modern tech stack focused on Java, Apache Kafka, AWS Cloud services, CI/CD practices, and GitLab.
Requirements
- Experience of 3~5 years in Java 17 development, including Spring Boot framework and microservices architecture.
- Kafka expertise: Demonstrated experience with Apache Kafka, including design, deployment, performance tuning, and troubleshooting.
- Proven experience with AWS cloud services (e.G., EC2, Lambda, S3, SQS, DynamoDB, Aurora, EKS).
- CI/CD tools and methodologies: Strong understanding and experience with CI/CD tools and methodologies, such as Jenkins, Git, Gradle.
- Experience with big data technologies, including Spark and Avro is preferred.
- Experience with relational and NoSQL databases like AWS DynamoDB, AWS RDS Aurora, and Cassandra is beneficial.
- Strong problem-solving skills and ability to troubleshoot complex technical issues.
Responsibilities
- Implement and manage Kafka-based data pipelines for real-time data ingestion and processing.
- Leverage AWS cloud services (e.G., EC2, Lambda, S3, SQS, DynamoDB, ECS, EKS) to build and deploy cloud-native applications and microservices.
- Design and implement CI/CD pipelines using GitLab to automate build, test, and deployment processes, ensuring continuous delivery and smooth releases.
- Write clean, well-documented, and testable code following best practices and coding standards.
- Actively participate in code reviews and provide constructive feedback to team members.
- Monitor application performance, identify bottlenecks, troubleshoot issues, and implement solutions to optimize performance and reliability.
- Ensure the security, scalability, and maintainability of applications in production environments.
Other
- Collaborate with cross-functional teams, including product owners, architects, and QA engineers, to define requirements, design solutions, and deliver features.
- Excellent communication and collaboration skills, with the ability to work effectively in an Agile/Scrum environment.
- Bachelor’s degree in computer science, Software Engineering, or a related field.
