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Tier-1 brand, metro location, generalist fullstack title and broad skillset increase applicant competition.
Requires deep Java, cloud-native, microservices and GenAI experience, limiting cross-industry transferability.
Explicit 13–16 years plus mandatory Java, cloud-native, GenAI and architecture requirements create strict filtering.
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Own end-to-end delivery of scalable full-stack features using Java and modern cloud-native frameworks.
Embed and integrate GenAI and LLM-based tools to enhance engineering velocity, quality, and AI-augmented development workflows.
Drive platform evolution focusing on microservices, containerized deployments, DevSecOps, and observability across cloud environments.
13–16 years full-stack development experience in enterprise environments.
Strong Java backend and cloud-native application development skills.
Bachelor's degree in computer science or related field (or equivalent practical experience).
Experience integrating AI-enhanced developer tools and LLM APIs.
Experienced senior engineer capable of mentoring teams and promoting engineering best practices.
Proven track record in designing scalable microservices, event-driven architectures, and secure development practices.
Skilled in embedding AI (GenAI/LLM) technologies into software products and workflows for innovation and automation.