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Strong Tier‑1 brand and common backend skills elevate applicant competition.
Deep Java, Spring, Kubernetes, and AI-agent expertise reduces cross-industry transferability.
Multiple mandatory technical skills and leadership expectations create stringent filtering.
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Lead design and delivery of scalable microservices/APIs primarily in Java Spring Boot within an agile team in Global Banking technology.
Develop secure, high-quality production code and review/debug code with a focus on AI-assisted engineering practices to improve code quality and delivery speed.
Build and operationalize AI agents integrated into engineering workflows, maintaining secure coding standards and responsible AI use.
Advanced Java development experience with strong fundamentals including concurrency and debugging.
Hands-on experience with Spring Boot frameworks, Elasticsearch, and unit/integration testing.
Experience using AI-assisted development tools like Copilot or Claude Code to improve delivery and maintain security and quality.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in agile software development with strong system design and operational stability focus in financial services context.
Proven ability to lead adoption of enterprise-authorized AI-assisted software development practices with a focus on responsible and secure AI use.
Capable of building AI/ML-enabled workflows and microservices emphasizing scalable design, security, and testing standards.