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Tier-1 employer, mid-level generalist role with broad full-stack and ML requirements increases competition.
Standard Java microservices, cloud, and frontend skills are broadly transferable across industries.
Explicit years plus mandatory full-stack, cloud, and ML skills make filtering stringent.
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Develop and maintain backend Java full stack applications and microservices using Spring Boot and associated technologies.
Work with streaming technologies like Apache Kafka and KSQL, and manage databases such as Oracle, SQL, PL/SQL, and MySQL.
Leverage cloud platforms (Azure, Kubernetes, or public cloud) and enterprise AI tools to innovate and streamline workflows.
Bachelor's degree in Computer Science, Information Systems, or relevant field.
Minimum 2 years of experience with Java full stack backend development.
At least 1 year of hands-on experience developing machine learning, deep learning models, or Gen AI solutions.
Experience with Java, Python, Spring Boot, Unix, ETL, streaming technologies, UI frameworks (React/Angular), and databases as mentioned.
Experienced in backend Java full stack development with exposure to microservices and cloud environments.
Practical expertise integrating machine learning or AI solutions in real-world applications.
Capable of evaluating emerging technology trends and implementing continuous improvements effectively.