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Shailender SharmaSS
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Shailender Sharma

@shailender-shrma

Backend engineer specializing in high-throughput payment systems.

India
Message

What I'm looking for

I seek backend or platform roles where I can design scalable, secure payment systems, work with microservices on AWS, and contribute to observability and CI/CD in a collaborative, growth-focused team.

I am a backend engineer with 3+ years building high-throughput, compliance-grade payment systems using Python and Django. I design secure REST APIs, asynchronous task pipelines, and microservices on AWS to meet real-time transaction processing needs.

At White Light Solutions I architected Django microservices for 10+ banking partners, reduced bulk export time by 80%, cut asynchronous queue latency by 40%, and passed VAPT audits by hardening APIs. I also built a high-performance historical transaction server delivering sub-second p99 responses.

I have led backend integrations with UPI, NetBanking, and multiple bank APIs, implemented OAuth2/JWT security, and deployed scalable services on AWS. I deliver resilient, observable systems and automated CI/CD pipelines that support rapid, reliable production releases.

Experience

Work history, roles, and key accomplishments

WS
Current

Senior Full Stack Developer

White Light Solutions

Apr 2025 - Present (11 months)

Architected and maintained a microservices payment platform handling real-time transactions for 10+ banking partners; reduced bulk export time by 80% and cut asynchronous queue latency by 40% while ensuring zero duplicate payouts through robust webhook and idempotency controls.

AC

Backend Developer

ASJ Media Commerce

Mar 2024 - Apr 2025 (1 year 1 month)

Led backend development of a Django payment platform integrating UPI, NetBanking, and card flows; implemented real-time merchant webhooks, OAuth2/JWT security, and scalable AWS deployments to reduce reconciliation time and improve reliability.

Education

Degrees, certifications, and relevant coursework

Guru Gobind Singh Indraprastha University logoGU

Guru Gobind Singh Indraprastha University

Bachelor of Technology, Computer Science Engineering

Grade: 7.0/10

B.Tech in Computer Science Engineering with a final-year project on an NLP-based YouTube transcript summariser and a CGPA of 7.0/10.

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