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Tier-1 brand plus a generalist full-stack role increases competition despite the senior experience band.
Senior full-stack with deep Java, cloud, and GenAI focus moderately limits industry transferability.
Explicit 13–16 years requirement plus mandatory Java, cloud-native, and GenAI expertise makes shortlisting highly strict.
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Own development and delivery of scalable, AI-augmented full-stack enterprise applications primarily using modern Java stacks and cloud-native microservices architectures.
Integrate and embed Generative AI and LLM tools into development workflows to enhance engineering velocity and quality, including prompt engineering and automated testing.
Contribute to design, deployment, and operation of containerized applications, APIs, and data architectures with a focus on security, DevSecOps practices, and innovation.
13–16 years of full-stack software development experience in enterprise environments.
Strong expertise in Java and cloud-native application development with microservices, Docker, Kubernetes.
Demonstrated experience integrating AI/GenAI developer tools and LLM APIs into software products and workflows.
Bachelor’s degree in computer science or related field (or equivalent practical experience).
Experience leading engineering teams with mentoring and driving best engineering and security practices.
Proven ability to deliver complex, scalable backend and full-stack solutions in cloud environments (AWS, Azure, GCP).
Familiarity with advanced data architectures, DevSecOps, and applying AI-augmented development to improve productivity and software quality.