Java Developer

Job Description

Seeking Java Developer with strong expertise in AWS cloud services. The ideal candidate has 8+ years of experience developing scalable, high-performance web applications using Java (up to Java 17), Spring Boot, Angular (2-12), and AWS. Responsible for designing, developing, and deploying robust cloud-native applications, leveraging AWS services such as Lambda, EC2, S3, RDS, DynamoDB, and API Gateway. Key Responsibilities: Design and develop full-stack Java applications using Spring Boot, Angular, and RESTful APIs. Build and maintain AWS-based cloud solutions, leveraging EC2, S3, Lambda, DynamoDB, API Gateway, and CloudFormation. Develop and optimize microservices architectures, ensuring high availability and scalability. Implement CI/CD pipelines using Jenkins, AWS Code Pipeline, and Terraform for seamless deployments. Work with Docker & Kubernetes (EKS) for containerized applications. Optimize system performance using monitoring tools like AWS CloudWatch, X-Ray, and ELK Stack. Utilize Apache Kafka for event-driven architectures and Redis for caching. Ensure robust testing and quality assurance with JUnit, Mockito, Jasmine, and Postman. Collaborate in an Agile/Scrum environment to drive innovation and efficiency. Required Skills & Experience: Minimum 5+ years of experience in Java development, including Java 8/11/17 features. Expertise in Spring Boot, Hibernate, and Microservices Architecture. Strong knowledge of AWS cloud services and infrastructure. Experience with CI/CD pipelines, GitHub Actions, Terraform, and Jenkins. Proficiency in front-end development using Angular, JavaScript, and Bootstrap. Hands-on experience with SQL (Oracle, MySQL) and NoSQL (MongoDB, DynamoDB) databases. Strong understanding of APIs, messaging systems (SQS, JMS), and event-driven architectures. Knowledge of security best practices and DevSecOps. Preferred Qualifications: Experience in serverless architecture using AWS Lambda. Familiarity with React.js, Node.js, and Kotlin. Background in machine learning, data analytics, or big data processing (Apache Spark, Storm).