JAVA SPRING BOOT KAFKA AWS

Job Responsibilities:

• Feature Design & Development: Design, develop, and implement individual features and components using Java and Spring Boot framework, adhering to best practices for code quality, performance, and scalability within a Microservices architecture.
• Kafka Integration & Development: Build and integrate applications with Apache Kafka for high-throughput, fault-tolerant, and real-time data streaming and event processing.
• Cloud-Native Development: Develop and deploy applications leveraging various AWS cloud services, ensuring optimal performance, security, and cost-effectiveness.
• Quality & Performance Assurance: Embed quality and performance considerations throughout the entire development lifecycle, from design to testing and support.
• Agile Collaboration & Client Interaction: Actively participate in an Agile development environment, including sprint planning, daily stand-ups, and retrospectives. Work directly with clients as required to gather requirements, provide updates, and ensure alignment.
• Team Coordination: Coordinate effectively between onsite and offshore development teams, facilitating seamless collaboration, knowledge transfer, and consistent progress towards shared goals.
• Troubleshooting & Support: Provide ongoing support for developed features, including troubleshooting issues and implementing bug fixes.

Required Skills:

• Java & Spring Boot: Strong proficiency in Java programming language and extensive hands-on experience with the Spring Boot framework for building enterprise-grade applications and Microservices.
• Kafka: Solid experience with Apache Kafka, including producer/consumer development, topic management, and understanding of Kafka Streams or Kafka Connect.
• Cloud - AWS: Practical experience with core AWS services relevant to application development and deployment (e.g., EC2, S3, RDS, Lambda, VPC).

Good to Have:

• Retail Domain Knowledge: Familiarity or prior experience working within the Retail domain.
• Database Skills: Experience with PL/SQL for database interactions.
• Container Orchestration: Knowledge of Kubernetes for container orchestration.
• Version Control: Experience with Gitlab or other modern version control systems.