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Tier-1 brand, metro location, popular fullstack manager role, and broad AI/cloud requirements increase candidate competition.
Requires Java, microservices, cloud, and AI expertise but remains transferable across industries.
Explicit 10+ years plus many mandatory Java, cloud, Kubernetes, and AI skills creates highly strict shortlisting.
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Lead design, development, and delivery of scalable, secure software solutions using Java/Scala and modern frameworks.
Drive architecture decisions for distributed systems ensuring resiliency and zero-downtime deployments while mentoring engineering teams.
Develop AI-enabled applications and manage hybrid data ecosystems (AWS, Databricks, Kubernetes) with focus on automation and platform stability.
10+ years hands-on software engineering experience with formal training or equivalent practical expertise.
Strong proficiency in Java and Spring Boot; working knowledge of SQL and modern front-end frameworks like React.
Experience with designing scalable, secure distributed systems and modern architecture patterns (microservices, event-driven, API-first).
Hands-on experience with CI/CD pipelines, containerization (Docker, Kubernetes/ECS/EKS), Infrastructure as Code, API design (REST, GraphQL), and AWS or public cloud platforms.
Experienced in AI and generative AI systems including RAG architectures, AI orchestration frameworks (LangChain, LlamaIndex), and responsible AI evaluation.
Proven ability to design and build AI-enabled applications and reusable AI agent skills/frameworks that enhance engineering productivity.
Strong backend architectural expertise combined with practical experience in hybrid cloud data ecosystems and automation of operational processes.