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Tier-1 employer, metro location, and broad technical/payments requirements drive high applicant competition.
Strong payments, fraud/AML, and real-time production ML deployment requirements limit cross-industry transferability.
Explicit 10+ years plus leadership and mandatory Java, cloud, DevOps, and payments expertise makes screening highly stringent.
Lead architectural design and development of real-time fraud detection Java microservices with integration to internal and external fraud scoring platforms.
Design and manage secure, scalable cloud infrastructure and CI/CD pipelines to support automated deployment and high availability of fraud detection services.
Manage and mentor a cross-functional team of developers and engineers, driving agile delivery and stakeholder communication for fraud technology initiatives.
Strong expertise in Java, Spring Boot, RESTful microservices, MongoDB/Oracle, Kafka, IBM MQ, and CI/CD pipelines.
10+ years professional software development experience, with at least 4+ years in technical leadership or engineering management roles.
Bachelor’s or master’s degree in Computer Science, Software Engineering, IT, or related field.
Experience building fraud detection, AML, or risk-scoring systems in banking or fintech environments with payments domain knowledge.
Proven ability to lead technical architecture and development for high-throughput, low-latency fraud detection systems in payments.
Experience managing DevOps-centric environments, including cloud infrastructure (AWS/Snowflake/OpenShift) and container orchestration (OpenShift, EKS).
Demonstrated capability to lead cross-functional teams and engage senior business and technology stakeholders effectively.