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Tier-1 brand, generalist full-stack title, metro location, and broad cloud/GenAI skills drive high competition.
Role requires deep Java, enterprise, cloud-native, and GenAI experience, making cross-industry portability limited.
Explicit 13–16 years requirement plus mandatory Java, cloud-native, DevSecOps, and GenAI experience increases selectivity.
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Own end-to-end full-stack feature delivery using modern Java stacks, including API and microservices development.
Embed and advance GenAI and LLM-based tools within enterprise software platforms to enhance engineering velocity and quality.
Design, deploy, and scale cloud-native containerized applications leveraging DevSecOps, CI/CD, and observability tools.
13–16 years of full-stack development experience in enterprise environments with strong backend Java expertise.
Bachelor’s degree in computer science or related field, or equivalent practical experience.
Proven experience integrating AI-enhanced developer tools and LLM APIs in production applications.
Experience with cloud-native development platforms (AWS/Azure/GCP), microservices, container orchestration (Docker, Kubernetes), and DevSecOps practices.
Deep experience driving architecture and platform evolution with scalable, secure, event-driven microservices in enterprise settings.
Demonstrated ability to lead and mentor engineering teams with a focus on embedding AI/GenAI to improve developer efficiencies and software quality.
Experience working with federated data architectures, data contracts, and modern CI/CD pipelines in cloud environments.