Cloud Full Stack Developer

Job Description

Job Title: Cloud Full Stack Developer Experience: 4?6 Years Location: Bangalore Job Summary We are looking for an experienced Cloud Full Stack Application Developer with strong expertise in Java, Spring Boot, Spark Streaming, and Kafka-based event-driven architectures. The ideal candidate will design, develop, and manage distributed and streaming applications, ensuring high availability, optimal performance, and seamless integration across microservices and messaging ecosystems. Key Responsibilities Application Development Develop and maintain cloud-native, distributed, and streaming applications. Build application components using Java, Spring Boot, and Spring Framework. Work with Apache Spark Streaming, RDD APIs, and related distributed processing components. Event-Driven & Microservices Architecture Implement microservices and event-based architecture patterns. Ensure robust, scalable, and secure service-to-service communication. Kafka & Messaging Ecosystem Build and maintain Kafka message configurations and flows. Deep understanding of Kafka config properties (timeouts, partitioning, buffering, etc.). Hands-on experience with: Kafka Brokers & Zookeepers KSQL & KStreams Confluent Kafka Control Center Work with Kafka Connect, Converters (Avro/JSON), and custom connector development using Kafka core APIs. Experience with Kafka REST Proxy. Create Kafka topics, configure redundancy clusters, and set up monitoring and alerts. Create stubs for producers, consumers, and consumer groups to support application onboarding. Performance & Reliability Ensure high availability, fault tolerance, and optimal performance of streaming solutions. Improve system scalability and monitor system health continuously. DevOps & Cloud Integration Work with Kubernetes for container orchestration. Build and maintain CI/CD pipelines using Azure DevOps, Jenkins, and related tools. Deploy and manage cloud-native applications following best practices. Required Technical Skills Java, Spring Boot, Spring Framework Apache Spark Streaming, RDD API Kafka ecosystem: Kafka Brokers, Zookeeper, KSQL, KStream Confluent Platform (Control Center, Connect, REST Proxy) Messaging converters: Avro, JSON Kubernetes Azure DevOps pipelines / Jenkins pipelines Microservices & Event-driven architecture