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Tier-1 brand, metro location, and general backend demand create medium competition.
Strong backend and AI focus transferable to other tech sectors, though financial compliance increases domain specificity.
Specific mandatory skills (Java/Spring, Kubernetes, AI agents) and lead-level expectations make shortlisting highly stringent.
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Lead design and delivery of scalable microservices/APIs using Java (Spring Boot) and AI/ML tools within a secure, stable production environment.
Develop, review, and debug high-quality production code with an emphasis on security, testing, and performance.
Drive adoption and operationalization of AI-assisted engineering practices (Copilot/Claude Code), including building AI agents that integrate with development workflows to enhance productivity and code quality.
Advanced Java development experience with strong fundamentals including OO design, concurrency, and debugging.
Hands-on experience with Spring Boot frameworks (REST APIs, security, persistence) and unit/integration testing.
Practical experience using AI-assisted coding tools (Copilot/Claude Code or similar) and building AI agents/LLM-enabled workflows.
Experience with Python scripting or AI prototyping; knowledge of Kubernetes and agile methodologies like CI/CD and application resiliency.
Engineer with strong system design and application development experience capable of leading technically complex projects delivering resilient microservices in a production environment.
Experienced in integrating AI-assisted tools into daily engineering workflows to improve delivery speed and code quality while ensuring security and compliance.
Practitioner familiar with responsible AI use, including data sensitivity, security handling, and coaching teams on safe AI adoption aligned with enterprise standards.