Application Developer-Cloud FullStack

A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.

As an Application Developer: Cloud FullStack, you will develop and deploy cloud-based applications using microservices design patterns, integrating front-end, back-end, and middleware components.

You will utilize expertise in multiple layers of application development to deliver efficient and secure cloud-based solutions. 8+ years building scalable backend applications using Java, Spring Boot. · Experience with: o Microservices architecture and distributed systems . o Event-driven systems and messaging platforms (Kafka). o RDBMS (Oracle and Postgres) and NoSQL databases (Mongo, Redis, Cassandra) o ElasticSearch o Cloud-native environments (AWS, GCP, Azure or similar). o Containerization and orchestration (Docker, Kubernetes or similar). o CI/CD pipelines and automated testing. · Strong problem-solving skills with solid understanding of data structures and algorithms . Intelligent Automation & AI Exposure (Preferred) · Leverage AI coding assistants for development and utilize them to generate better quality of output. · Support integration of AI or automation driven components into the backend systems. · Ensure AI-enabled components operate within defined reliability and safety boundaries. AI exposure is valued, but distributed systems engineering remains the primary focus of this role. 8+ years building scalable backend applications using Java, Spring Boot. · Experience with: o Microservices architecture and distributed systems . o Event-driven systems and messaging platforms (Kafka). o RDBMS (Oracle and Postgres) and NoSQL databases (Mongo, Redis, Cassandra) o ElasticSearch o Cloud-native environments (AWS, GCP, Azure or similar). o Containerization and orchestration (Docker, Kubernetes or similar). o CI/CD pipelines and automated testing. · Strong problem-solving skills with solid understanding of data structures and algorithms . Intelligent Automation & AI Exposure (Preferred) · Leverage AI coding assistants for development and utilize them to generate better quality of output. · Support integration of AI or automation driven components into the backend systems. · Ensure AI-enabled components operate within defined reliability and safety boundaries. AI exposure is valued, but distributed systems engineering remains the primary focus of this role. • Cloud Security Knowledge: Exposure to implementing cloud security measures, including network security and access control, to ensure the integrity of cloud-based applications. • Advanced DevOps Tools: Experience working with advanced DevOps tools and methodologies to optimize the development, testing, and deployment of cloud-based applications. • Multi-Cloud Environments: Exposure to designing, building, and maintaining multi-cloud environments, focusing on uptime, scalability, and automation. India Software Engineering Hybrid Professional Bangalore, IN