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Tier-1 employer, metro location, and broad backend+cloud skill requirements increase competition.
Requires in-depth financial services knowledge and specific backend/cloud expertise, limiting cross-industry transferability.
Explicit 8+ years, mandatory Java/Spring/AWS/Kafka and financial domain requirements tighten filters.
Design and deliver secure, stable, and scalable fraud protection solutions within Payments Trust & Safety technology.
Lead implementation of AI-assisted engineering practices to improve code quality, delivery speed, and operational outcomes.
Drive evaluation and integration of external vendors and technologies to enhance architectural and technical capabilities.
8+ years of applied Software Engineering experience with formal training or certification.
Advanced hands-on skills in Java, Spring Boot, Microservices, and AWS services (ECS/EKS, Lambda, S3, EC2, Kafka, NLB).
Demonstrated experience leading use of AI-assisted software development tools with focus on validation of AI outputs for correctness, performance, and security.
Strong knowledge of financial services IT systems and applicable security and resiliency standards.
Experienced in applying responsible AI use and coaching teams on secure, compliant AI adoption in engineering workflows.
Skilled in enterprise architecture design focused on unified user experience and data sharing via APIs and Kafka.
Ability to lead cross-functional technical evaluations and drive automation for increased operational stability.