





Tier-1 brand, metro location, and mid-level generalist backend title drive high competition.
Core backend skills are transferable, but banking domain and responsible-AI expectations raise sensitivity to medium.
Explicit 5+ years plus extensive mandatory tech stack and leadership requirements create high shortlisting strictness.
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Lead design, development, and troubleshooting of secure, scalable Java-based applications using AWS and microservices architecture.
Drive team adoption of AI-assisted engineering practices to enhance code quality, delivery speed, and operational stability.
Lead evaluations of external and internal technical solutions and foster engineering communities of practice for emerging technologies.
5+ years of experience in system design, application development, testing, and operational stability.
Strong proficiency in Java/J2EE, Spring Boot, AWS, Terraform, GitHub, Jenkins, Microservices, and AI-assisted software development tools.
Experience with relational and NoSQL databases (PostgreSQL, MySQL, DynamoDB, Redis, Cassandra) and containerization technologies (Docker, ECS/EKS/Kubernetes).
Demonstrated experience leading teams and working in large corporate environments.
Technical leader with proven track record in driving AI-assisted software development adoption and team performance.
Experienced with end-to-end delivery of cloud-native Java microservices on AWS with a strong emphasis on security and operational stability.
Able to lead vendor evaluations and foster technical innovation communities within software engineering teams.