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Mid-level, generalist backend role with hybrid metro location and broad skills attracts high applicant density.
Specialized fraud rules and IBM ODM experience biases hiring toward financial-services backgrounds.
Mandatory 6+ years with IBM ODM fraud rules and specific language requirements increases screening strictness.
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Own and optimize Fraud Rules Engine using IBM ODM or similar, driving rule authoring and implementation in production.
Lead platform modernization and migration efforts for high-throughput, low-latency fraud detection systems in banking or financial services.
Develop and enhance scalable distributed fraud detection systems using Java, Python, or Go, integrating AI/GenAI solutions to improve operational efficiency and decisioning.
6+ years of full-time software engineering experience.
Hands-on expertise with Fraud Rules Engines, IBM ODM preferred.
Strong programming skills in Java, Python, or Go, with experience in relational and NoSQL databases.
Location: Pune; Work mode: Hybrid (3 days WFO, 2 days WFH); Shift: 12:30 PM – 9:30 PM IST.
Experienced in banking, payments, or financial services domain focusing on fraud detection and prevention systems.
Proven ability to handle platform modernization and large-scale system migrations with performance tuning and automation.
Experience applying Generative AI and Large Language Models to enhance rule management and business decision processes.