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Strong Tier-1 employer plus generalist lead title increases applicant density, but seniority reduces it.
Requires financial-services domain knowledge and responsible-AI coaching, reducing cross-industry transferability.
Many mandatory filters: 12+ years, Java/Spring/Cloud, AI-assisted practices, financial services experience.
Lead design, development, and delivery of secure, high-quality Java, React, and AI-powered software solutions in an agile environment.
Drive team adoption of enterprise-authorized AI-assisted engineering tools to improve code quality, delivery speed, and operational stability, establishing validation and reuse practices.
Evaluate external and internal technical solutions focusing on architecture, security, and operational applicability within financial services systems.
12+ years of applied experience with formal training or certification in software engineering.
Proficient in Java, Spring Boot, React JS, and AI/ML programming with hands-on system design and operational stability experience.
Experience leading adoption of AI-assisted software development tools ensuring secure, compliant, and validated use.
Strong knowledge of SDLC, agile methodologies (CI/CD, Application Resiliency, Security), and cloud-native technologies.
Experienced leader capable of integrating AI-assisted tools responsibly within engineering teams, setting standards for validation and security.
Deep domain expertise in financial services IT systems influencing technical and architectural decisions.
Practitioner of agile and automated SDLC workflows with strong focus on operational stability and secure software delivery.