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Tier-1 brand, metro location, and generalist mid-level fullstack role increase applicant competition.
Requires Java Spring fullstack and cloud experience, moderately transferable across industries.
Explicit 5+ years and mandatory Java/Spring/microservices/cloud stack drive strict screening.
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Design and deliver scalable, secure, cloud-native Java full-stack enterprise applications integrating modern AI capabilities.
Build and integrate Large Language Models (LLMs), AI agents, and enterprise AI services into business applications.
Leverage AI-assisted development tools to enhance code quality, accelerate development, and implement AI-powered user features like intelligent search and conversational interfaces.
Bachelor's or Master's degree in Computer Science or related field from a reputed university.
Minimum 5 years experience designing and developing scalable, distributed enterprise applications.
Proficient in Java, J2EE, Spring Boot, microservices, REST APIs, JavaScript, Node.js, UI frameworks (Oracle JET or similar), Git, Docker, and CI/CD.
Experience building, deploying, and operating cloud-native applications on OCI, AWS, Azure, or Google Cloud platforms.
Experienced in developing large-scale, distributed enterprise applications using Java full-stack technologies with strong architecture skills.
Familiar with AI/ML technologies including LLMs, Retrieval-Augmented Generation, AI agents, and AI application integration within enterprise environments.
Skilled in applying modern software engineering best practices including microservices design, event-driven architectures, and AI-powered developer tools in fast-paced, globally distributed teams.