Associate Java Software Engineering

As a member of the Digital Platforms & Experiences team in Global Marketing, your role will involve the following responsibilities: - Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way. - Collaborate with team members in a multi-office, multi-country environment. - Deliver high efficiency, high availability, concurrent and fault-tolerant software systems. - Contribute to the development of client-facing AI tools. - Apply validated quality software engineering practices through all phases of development. - Ensure resilience and stability through quality code reviews, unit, regression, and user acceptance testing, dev ops, and level two production support. Qualifications required: - B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. - Approximately 4+ years of proven experience. Skills and Experience: - A proven foundation in core Java and related technologies, with OO skills and design patterns. - Track record building high-quality software with design-focused and test-driven approaches. - Strong knowledge of the Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.). - Hands-on coding experience using Java. - Experience with relational databases and/or NoSQL Databases (e.g., Knowledge of Python). - Exposure to building microservices and APIs ideally with REST, Kafka, or gRPC. - Exposure to frontend tech like Node.js / React / TypeScript / CSS / HTML5. - Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud. - Experience with DevOps and tools like Azure DevOps. - Experience with AI-related projects/products or experience working in an AI research environment. - Experience working in an agile development team. As a member of the Digital Platforms & Experiences team in Global Marketing, your role will involve the following responsibilities: - Creative thinker: Analyze multiple solutions and deploy technologies in a flexible way. - Collaborate with team members in a multi-office, multi-country environment. - Deliver high efficiency, high availability, concurrent and fault-tolerant software systems. - Contribute to the development of client-facing AI tools. - Apply validated quality software engineering practices through all phases of development. - Ensure resilience and stability through quality code reviews, unit, regression, and user acceptance testing, dev ops, and level two production support. Qualifications required: - B.E./ B.TECH./ MCA or any other relevant engineering degree from a reputed university. - Approximately 4+ years of proven experience. Skills and Experience: - A proven foundation in core Java and related technologies, with OO skills and design patterns. - Track record building high-quality software with design-focused and test-driven approaches. - Strong knowledge of the Open-Source technology stack (Spring, Hibernate, Maven, JUnit, etc.). - Hands-on coding experience using Java. - Experience with relational databases and/or NoSQL Databases (e.g., Knowledge of Python). - Exposure to building microservices and APIs ideally with REST, Kafka, or gRPC. - Exposure to frontend tech like Node.js / React / TypeScript / CSS / HTML5. - Experience with Cloud platforms like Microsoft Azure, AWS, Google Cloud. - Experience with DevOps and tools like Azure DevOps. - Experience with AI-related projects/products or experience working in an AI research environment. - Experience working in an agile development team.