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Tier-1 brand and metro location increase applicants, while seniority narrows the qualified pool.
Deep enterprise Java, microservices, and financial-grade architecture skills make cross-industry moves moderately transferable.
Explicit 10+ years requirement plus mandatory Java, Spring, cloud, streaming, and CI/CD skills.
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Design, develop, and maintain scalable Java frameworks using Spring Boot for cloud and on-premises environments.
Lead adoption of agentic AI-enabled engineering workflows and standardize coding practices across teams to enhance delivery speed and code quality.
Provide technical thought leadership, mentor teams, and drive strategic technical initiatives aligned with organizational goals.
10+ years of applied software engineering experience with formal training or certification.
Deep expertise in Java (Core Java & EE), Spring Boot and related Spring frameworks including Spring AI.
Proven experience in building and optimizing scalable microservices and frameworks for AWS and on-premises deployments.
Strong knowledge of relational databases (SQL, data modeling), streaming technologies (Kafka, RabbitMQ), CI/CD pipelines, and DevOps practices.
Experienced in architecting AI-assisted development workflows within enterprise security and governance standards.
Able to influence senior technical leadership on safe and scalable AI integration in engineering processes.
Proven technical strategist with a track record of closing gaps in frameworks and processes while mentoring engineering teams.