Role : Senior Java Developer

Location : Scottsdale, AZ (100% Onsite) (Client interview will be in person in any office of EWS)

Must have : Java, AWS Spring, REST, Cloudera, Apache Kafka, and on-premises EKS (Elastic Kubernetes Service)

JD :

We are seeking an experienced Senior Java Developer with strong expertise in building and deploying enterprise-grade applications using Java, Spring Framework, and modern big data and container technologies. The ideal candidate will have hands-on experience with Cloudera, Apache Kafka, and on-premises EKS (Elastic Kubernetes Service) for container orchestration.

Key Responsibilities:

• Design, develop, and maintain applications using Java and Spring Framework.
• Work with Cloudera ecosystem for big data processing and management.
• Implement and manage Apache Kafka for real-time data streaming and messaging.
• Deploy and manage containerized applications on on-premises EKS clusters.
• Collaborate with DevOps teams to implement CI/CD pipelines for containerized workloads.
• Optimize application performance and scalability in distributed environments.
• Troubleshoot and resolve issues related to application, data pipelines, and container orchestration.
• Ensure security, compliance, and best practices across all deployments.

Required Skills & Qualifications:

• 8–12 years of experience in enterprise application development.
• Strong proficiency in Java and Spring Framework (Spring Boot preferred).
• Hands-on experience with Cloudera and big data technologies.
• Expertise in Apache Kafka for event-driven architecture and data streaming.
• Experience with on-premises EKS or Kubernetes-based container orchestration.
• Solid understanding of CI/CD pipelines, containerization (Docker), and microservices architecture.
• Strong problem-solving and debugging skills in distributed systems.
• Excellent communication and collaboration skills.

Preferred Qualifications:

• Exposure to cloud-native technologies and hybrid deployments.
• Knowledge of security best practices for containerized environments.

Familiarity with monitoring tools and performance tuning for large-scale systems