Abhinav Reddy Jutur

Abhinav Reddy Jutur has built his professional career in one of the most demanding domains of modern software engineering: distributed systems, with a strong specialization in API platforms and large-scale payment systems. Over roughly a decade of experience, his work has consistently centered on building scalable microservices, secure API ecosystems, and resilient cloud-native platforms capable of supporting high transaction volumes and mission-critical workloads. Across financial services, healthcare technology, and telecommunications, he has developed systems that do not simply process data, but serve as foundational infrastructure for institutions operating at national and global scale.

At JPMorgan Chase & Co., where he serves as Software Engineer III, Jutur has contributed to the design and development of a global real-time payment processing platform for corporate banking clients. The objective of this initiative was to enable high-volume transaction processing with completion times in the range of three to five seconds, while supporting treasury services, ACH payments, and global enterprise payment workflows. His responsibilities included building resilient microservices in Java and Spring Boot, integrating Kafka-based distributed messaging, and developing secure REST APIs for major enterprise clients such as Amazon, Stripe, PayPal, and Cognizant. The importance of this work lies in its combination of scale, speed, compliance, and reliability—traits that are essential in financial infrastructure but difficult to achieve together.

The platform’s technical significance is reinforced by its operational scale. Jutur’s contributions supported an infrastructure capable of processing millions of transactions daily, handling more than 120 currencies, and sustaining roughly 500 transactions per second across global payment networks. He also worked on performance optimization, system hardening, and compatibility with payment standards such as ISO 20022 and FedNow. The system processes approximately $9.8 trillion in daily payment value and enabled the retirement of legacy payment platforms that had imposed significant licensing costs. This reflects not only architectural modernization, but also direct business and operational impact in a high-value financial environment.

Before JPMorgan Chase, Jutur worked at Accenture Federal Services as a Senior Software Engineer on the HealthCare.gov Eligibility and Enrollment System. There, his focus was on developing and optimizing the Eligibility and Enrollment module for the federal platform supporting enrollment in Affordable Care Act health insurance plans. This work required ensuring system reliability for millions of users while maintaining stability during the intense demand of open enrollment periods. In this context, the engineering challenge was not merely technical modernization, but the maintenance of public-facing system continuity at national scale.

A key contribution during his HealthCare.gov work was the modernization of legacy government services through microservices migration, AWS cloud integration, and distributed batch processing using Spring Batch. Among the most consequential pieces of work was his development of the Applied Premium Tax Credit redetermination batch process during the COVID period, which automated subsidy recalculations for millions of users. This automation reduced manual processing errors and improved system efficiency during a critical public policy period. He also contributed to infrastructure capacity planning and performance tuning that reduced operational costs by approximately 20% while maintaining reliable service during peak demand. In practice, this work helped strengthen a nationally important healthcare platform while also improving cost discipline and resilience.

At Mastercard, as Software Engineer, Jutur worked on the Loyalty Bundling Services API Ecosystem for Mastercard ON, an offers and rewards platform designed to improve engagement among cardholders, merchants, acquirers, and issuers. His role centered on developing the loyalty bundling service, an orchestration layer that unified multiple downstream loyalty services behind a single API integration interface. This architectural approach reduced complexity for partners by allowing them to integrate once and access multiple Mastercard loyalty capabilities through a common platform. It was an important example of API-driven simplification in a complex financial ecosystem.

His work at Mastercard included designing high-performance REST APIs in Java and Spring Boot, integrating authentication and tokenization services, and ensuring alignment with security standards including GDPR and PCI DSS. The platform enabled more personalized rewards and benefits for cardholders and helped expand Mastercard’s loyalty ecosystem across the LATAM market. This contribution highlights his ability to build secure, scalable service layers that improve both partner integration and end-user engagement in consumer financial systems.

Earlier in his career, Jutur worked at AT&T, contributing to the IP Service Assurance and Analysis of Connections platform supporting U-verse and DLITE customers. This project focused on service provisioning, diagnostics, and troubleshooting for home connectivity services and set-top boxes. His work involved developing backend modules in Java and Spring, creating REST APIs that connected service endpoints with operational dashboards, and enabling remote device management for both support personnel and end users. By integrating device telemetry into centralized service assurance systems, the platform improved visibility into network performance and customer equipment status. The result was reduced service setup times, faster troubleshooting, and an improved customer experience driven by proactive diagnostics and self-service capabilities.

Across these roles, Jutur’s career shows a consistent pattern: he is repeatedly entrusted with systems that must scale reliably under heavy load, meet strict security and compliance standards, and deliver operational value in environments where failure has real consequences. Whether in payment processing, healthcare enrollment, loyalty ecosystems, or telecom service assurance, his work has involved designing the kinds of distributed architectures that sit at the core of large institutional platforms. These are systems where technical precision directly affects user trust, business continuity, and organizational performance.

For IICSPA Fellowship consideration, Abhinav Reddy Jutur presents a strong profile marked by distributed systems depth, measurable impact across highly scaled platforms, secure API and microservices expertise, and sustained contribution to critical enterprise infrastructure in finance, healthcare, and telecommunications. His work reflects the level of professional distinction and practical systems engineering impact expected of a fellowship-level candidate