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Strong Tier-1 brand and metro presence increase interest, but senior specialized role moderates competition.
Requires deep financial-services systems knowledge and enterprise AI/Java/Spring expertise, limiting cross-industry transferability.
Explicit 12+ years, mandatory backend/AI leadership experience, and enterprise security/cloud requirements increase filtering.
Lead development and technical troubleshooting for secure, scalable software solutions using Java, ReactJS, and AI/ML technologies.
Drive team-wide adoption of enterprise-authorized AI-assisted engineering practices and SDLC automation to improve code quality, delivery speed, and operational stability.
Evaluate architectural and technical solutions with external vendors, startups, and internal teams to ensure fit within existing systems and information architecture.
12+ years of applied software engineering experience with formal training or certification.
Advanced proficiency in Java, Spring Boot, React JS, AI/ML programming languages and tools.
Experience leading adoption of enterprise-authorized AI-assisted software development tools with focus on validating AI outputs and secure handling of inputs/outputs.
Proficient in full Software Development Life Cycle and agile methodologies including CI/CD, application resiliency, and security.
Experienced leader in integrating AI-assisted engineering practices at scale, capable of setting team standards and coaching on responsible AI usage.
Strong background in financial services IT systems and practical cloud-native development experience.
Operates with a strategic mindset to improve operational stability and accelerate delivery by leveraging automation and reusable patterns.