Your role and responsibilities

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 productive 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.

Required education

Bachelor's Degree

Preferred education

Master's Degree

Required technical and professional expertise

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.

Preferred technical and professional experience

- 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.

Years of Experience:

8 - 12

📌 Application Developer-Cloud FullStack (Bengaluru)
🏢 IBM
📍 Bengaluru