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Tier-1 brand, metro location, broad visible title, and wide skill requirements increase candidate competition.
Role requires cloud, data platform and AI pipeline experience making cross-industry transfer possible but somewhat specialized.
Multiple explicit years and many mandatory technologies (Java, Python, React, Azure, Databricks, Terraform, Kubernetes) imply high strictness.
Design, develop, deploy, and maintain scalable, secure enterprise applications and AI-powered solutions across the full AI Software Development Life Cycle (AI-SDLC).
Lead backend development using Java (Spring Boot) and Python, frontend development with React/Angular/Next.js, and build API-driven platforms ensuring alignment with enterprise architecture.
Drive cloud-native microservices design, CI/CD pipeline implementation (GitHub Actions), infrastructure as code (Terraform), Docker/Kubernetes (AKS) deployments, and oversee artifact lifecycle management (JFrog).
Graduate degree or equivalent experience required.
7+ years experience in API design, backend engineering with Java (Spring Boot) and Python, and enterprise integrations.
5+ years experience with frontend frameworks (React/Angular/Next.js) and SQL; 5+ years experience on Azure cloud including Databricks and data pipeline frameworks.
Experience in CI/CD pipelines (GitHub Actions), infrastructure provisioning (Terraform), containerized deployments (Docker, Kubernetes AKS), and AI-powered system development including Agentic AI architectures and LLM orchestration.
Demonstrated ability to lead technical initiatives, influence architecture decisions, and mentor engineering teams in agile environments with ownership of delivery.
Extensive hands-on experience building scalable, microservices-based, distributed systems with emphasis on resilience, performance and security practices.
Strong communicator capable of interfacing across technical and non-technical stakeholders, collaborating with cross-functional teams including Product, Infrastructure, DevOps, and Architecture.