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Strong Tier-1 brand plus generalist backend role yields moderate applicant competition.
Fintech fraud domain and responsible-AI/security requirements limit cross-industry transferability.
Mandatory 8+ years and specific Java/Spring/AWS/Kafka skills create high shortlisting rigidity.
Design and deliver secure, scalable software solutions within the Payments Trust & Safety Technology Team focused on fraud protection.
Lead adoption and validation of AI-assisted software development tools to improve code quality, delivery speed, and operational stability.
Evaluate vendors and collaborate with internal teams to assess architectural designs and technical suitability for integration.
Minimum 8 years of software engineering experience with formal training or certification.
Advanced hands-on experience in Java, Spring Boot, Microservices, and AWS services including ECS/EKS, Lambda, S3, EC2, Kafka, and NLB.
Proficient in Software Development Life Cycle processes and agile methodologies including CI/CD, application resiliency, and security.
Work Experience Required: Minimum 8 years in software engineering; No explicit mention of notice period or location constraints.
Experienced in integrating AI-assisted engineering tools responsibly in software development workflows with coaching capabilities.
Strong background in system design, operation stability, and delivering high-quality code within financial services IT environments.
Familiarity with enterprise architecture concepts, API-driven data sharing, event-driven systems (Kafka), and cross-functional workflow orchestration.