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Tier-1 employer, generalist backend skills, and likely metro hiring create high applicant competition.
Core backend and distributed-systems skills are transferable across industries, though payments and compliance add some sensitivity.
Mandatory Java, Kafka, cloud, distributed-systems expertise and banking-grade security/compliance increase shortlisting strictness.
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Provide technical guidance and direction to business, technical teams, contractors, and vendors within Payments Technology.
Develop, review, and maintain secure, high-quality production code using Java, Spring Boot, Kafka, and cloud-native technologies.
Drive adoption and governance of AI-assisted engineering practices across teams to improve code quality, delivery speed, and operational outcomes, establishing measurable validation standards.
Expertise in building large scale & high throughput applications using Java, Spring Boot, Kafka, and cloud-native applications.
Proficiency in distributed systems, parallel processing, and performance analysis/tuning using Java profiling and monitoring tools.
Experience leading effective use of enterprise-authorized AI-assisted software development tools with ability to set expectations for validating AI outputs.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced in driving design and functionality decisions independently with minimal oversight in agile, scalable software environments.
Strong subject matter expertise in AI-assisted software development workflows and responsible AI use, including secure and compliant engineering practices.
Familiar with Kafka Streams, Event-Driven Architecture, Microservices, and modern cloud tools like Kubernetes and APIGEE, with hands-on exposure to agentic AI workflows.