Hi, I'm Sukesh Sadhu. I'm a Software Engineer with 4+ years of experience designing and operating scalable fintech systems across payment authorization, fraud monitoring, and real-time settlement. I specialize in Java Spring Boot microservices, Kafka-driven event architectures, and cloud-native deployments on AWS and Azure. I have a proven track record of reducing latency, enforcing transactional integrity, and delivering compliant APIs through containerization, CI/CD automation, and hands-on production support for high-volume financial platforms. I enjoy partnering with product and compliance teams to translate complex payment rules into robust services, validate end-to-end event flows, and support audit-ready releases. My approach combines reliable engineering practices with a bias for performance and resilience, including idempotent APIs, blue-green deployments, and proactive monitoring to keep mission-critical systems running smoothly during peak settlement windows.

Sukesh Sadhu

Hi, I'm Sukesh Sadhu. I'm a Software Engineer with 4+ years of experience designing and operating scalable fintech systems across payment authorization, fraud monitoring, and real-time settlement. I specialize in Java Spring Boot microservices, Kafka-driven event architectures, and cloud-native deployments on AWS and Azure. I have a proven track record of reducing latency, enforcing transactional integrity, and delivering compliant APIs through containerization, CI/CD automation, and hands-on production support for high-volume financial platforms. I enjoy partnering with product and compliance teams to translate complex payment rules into robust services, validate end-to-end event flows, and support audit-ready releases. My approach combines reliable engineering practices with a bias for performance and resilience, including idempotent APIs, blue-green deployments, and proactive monitoring to keep mission-critical systems running smoothly during peak settlement windows.

Available to hire

Hi, I’m Sukesh Sadhu. I’m a Software Engineer with 4+ years of experience designing and operating scalable fintech systems across payment authorization, fraud monitoring, and real-time settlement. I specialize in Java Spring Boot microservices, Kafka-driven event architectures, and cloud-native deployments on AWS and Azure. I have a proven track record of reducing latency, enforcing transactional integrity, and delivering compliant APIs through containerization, CI/CD automation, and hands-on production support for high-volume financial platforms.

I enjoy partnering with product and compliance teams to translate complex payment rules into robust services, validate end-to-end event flows, and support audit-ready releases. My approach combines reliable engineering practices with a bias for performance and resilience, including idempotent APIs, blue-green deployments, and proactive monitoring to keep mission-critical systems running smoothly during peak settlement windows.

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Experience Level

Expert
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Language

English
Fluent

Work Experience

Software Engineer at Quebec Solutions
May 1, 2025 - Present
Architected AWS-based payment authorization platform using Java Spring Boot, Kafka, and Docker, processing 13k daily transactions while reducing p95 latency from 410ms to 305ms during peak settlement periods. Established event-driven settlement workflow with Kafka streams on AWS, coordinating six downstream services, stabilizing processing lag under two seconds and improving reconciliation turnaround by 19 percent measurably. Implemented idempotent transaction APIs in Spring Boot, balancing throughput with consistency guarantees, enabling safe retries across distributed payment flows without duplications during intermittent upstream failures. Containerized fintech microservices using Docker and ECS, standardizing CI/CD pipelines and enabling blue-green deployments that reduced rollback frequency by 21 percent across regulated production environments. Partnered with product and compliance teams to translate regulatory payment rules into Spring Boot services, validating Kafka event flows
Software Engineer at HCL Tech
August 1, 2023 - May 1, 2025
Engineered Spring Boot-based fraud monitoring service on Azure, consuming Kafka streams and powering React dashboards that processed 9k daily events and improved analyst decision throughput by 18 percent. Designed end-to-end alert lifecycle integrating Kafka, Spring Boot APIs, and React workflows, reducing manual investigation time by 23 percent during high-risk transaction windows across payment operations. Optimized Azure CI/CD pipelines for Spring Boot microservices, containerizing workloads and coordinating Kafka dependencies, shortening release cycles from fourteen days to nine days consistently in production. Implemented secure access controls using OAuth2 and RBAC across Spring Boot services, encrypting sensitive payment data while maintaining stable response times under sustained transaction loads. Supported on-call rotations by diagnosing Kafka lag and Spring Boot performance bottlenecks, resolving 15 high-severity production incidents and stabilizing fraud detection flows dur
Software Engineer at TCS
January 1, 2021 - July 1, 2022
Developed Java Spring Boot microservices for domestic payments on AWS, integrating Kafka messaging and Angular portals, reliably processing 7k daily transactions across distributed banking settlement systems. Implemented reconciliation pipeline using Kafka consumers and Spring Boot services, reducing unmatched transaction records by 20 percent and improving financial reporting accuracy during monthly closure cycles. Built Angular-based operations dashboard consuming Spring Boot APIs, exposing Kafka processing states and helping support teams resolve twelve priority transaction issues faster during settlement processing peaks. Automated AWS deployments for Spring Boot services using Docker, improving environment consistency and reducing release-related incidents by 17 percent across regulated fintech delivery cycles. Collaborated with QA and business teams to convert payment rule changes into Spring Boot logic, validating Kafka event flows end-to-end before production rollout supporting

Education

Master of Science at Sacred Heart University, Fairfield
August 1, 2022 - December 1, 2023
Bachelor of Science at University of Rome-Tor Vergata
August 1, 2018 - February 1, 2022
Master of Science at Sacred Heart University and Fairfield
August 1, 2022 - December 1, 2023
Bachelor of Science at University of Rome Tor Vergata
August 1, 2018 - February 1, 2022

Qualifications

Microsoft Certified: Azure Developer Associate
April 1, 2026 - April 1, 2027
Microsoft Certified: Azure Fundamentals
February 1, 2026 - May 26, 2026
Azure Developer Associate
April 1, 2026 - April 1, 2027
Azure Fundamentals
February 1, 2026 - May 26, 2026

Industry Experience

Software & Internet, Financial Services, Professional Services

Experience Level

Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Expert
Intermediate
Intermediate
Intermediate
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