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Tier-1 brand, generic backend title, metro location and broad skillset create high competition.
Technical skills are transferable but banking and regulated-environment experience raises role-specific sensitivity.
Mandatory backend, Java, cloud and microservices skills increase filtering despite no years specified.
Own the design and delivery of cloud-native microservices back-end applications focusing on scalability, security, and zero downtime releases.
Lead adoption and coaching of AI-assisted software engineering practices to improve code quality, delivery speed, and operational outcomes.
Support full product lifecycle including incident management and performance optimization in mission-critical systems.
Professional experience as a back-end software engineer with recent hands-on coding.
Proficiency in Java programming language and experience in test design (unit, integration, performance).
Experience with cloud technologies, distributed systems, RESTful APIs, messaging frameworks, and different data stores including relational databases.
Work Experience Required: Not explicitly mentioned in the JD.
Proven ability to lead technical adoption of AI-assisted development tools with strong understanding of responsible AI use policies.
Experience coaching team members on software design, coding best practices, and implementation patterns.
Experience or familiarity working in highly regulated environments and with cloud-native microservices architecture, preferably AWS.