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Tier-1 employer, metro location, and broad backend/cloud skillset increase applicant competition.
Requires deep Java/microservices and distributed-systems expertise, limiting easy cross-industry transferability.
Explicit 12+ years requirement and mandatory Java, microservices, cloud, Kafka skills enforce strict filtering.
Lead design, development, modernization, and support of enterprise, scalable, resilient, and cloud-native applications leveraging Core Java, Spring Boot, Microservices, Kafka, and MongoDB.
Drive architecture, technical design decisions, performance optimization, security, and production stability across multiple complex engineering initiatives.
Mentor engineering teams, implement AI-first software engineering practices using AI coding assistants, and act as a technical advisor influencing enterprise technical strategy and governance.
12+ years of application development experience.
Strong expertise in Core Java, Spring Boot, REST APIs, Microservices, multithreading, concurrency, collections, transaction management, SQL/RDBMS, Kafka, MongoDB, distributed systems, scalability, and performance optimization.
Experience driving technical design, architecture reviews, engineering governance, and mentoring technical teams.
Not explicitly mentioned: education requirements, notice period, and mandatory location onsite requirements.
Senior technical leader comfortable driving architecture and technical strategy across multiple projects and teams in large enterprise environments.
Experienced in applying advanced AI-powered development and Context Engineering practices to accelerate software delivery and improve quality.
Strong collaborator with business, product, architecture, and engineering stakeholders capable of independent operation and influencing organization-wide technical direction.