Back
Tier-1 employer plus metro location increase competition, but specialized AI-plus-Java skills narrow the candidate pool.
Strong backend, Java, Kubernetes and AI-agent requirements make candidate skills moderately transferable across industries.
Multiple mandatory advanced backend, AI-agent, security, and Kubernetes skills create a high screening bar.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead design, development, and delivery of secure, high-quality Java/Spring Boot microservices and APIs, including code review and debugging.
Drive adoption and operationalization of AI-assisted engineering tools and practices (e.g., Copilot, Claude Code) to enhance code quality, delivery speed, and operational stability.
Build and integrate AI agents/LLM-enabled workflows within engineering processes ensuring correctness, secure coding, and compliance with responsible AI guidelines.
Advanced Java development experience with strong fundamentals including OO design, concurrency, performance, and debugging.
Hands-on experience with Spring Boot framework, REST APIs, security, persistence, and unit/integration testing.
Practical experience using AI-assisted tools like Copilot/Claude Code for software development ensuring code quality and security.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in leading software engineering teams on complex system design, delivery, and operational stability in agile environments.
Skilled in combining AI/ML tools with engineering workflows, including prompt discipline, validation, and secure handling of sensitive data.
Technical leadership demonstrated by setting team standards for responsible AI use, secure coding, and adoption of advanced microservice architecture patterns.