Onkar Ojha

About Onkar Ojha

Backend Software Engineer with experience building scalable distributed systems, payment workflows, and cloud-native platforms Currently working at Amazon on large-scale commerce and payment systems involving OTP authentication, Partial COD workflows, deployment automation, and recommendation systems Previously worked at Jio Platforms on hybrid cloud infrastructure integrating OpenStack and Azure Stack HCI for VM lifecycle orchestration My interests primarily revolve around: • Distributed Systems • Event-Driven Architecture • Scalability & Reliability • Microservices • Backend Performance Optimization • Cloud Infrastructure Tech Stack: Java, Golang, Spring Boot, Kafka, RabbitMQ, AWS, PostgreSQL, Docker, Terraform I enjoy solving backend scalability problems, improving system reliability, and designing low-latency systems that operate at scale. Let’s connect – o••••••••@outlook.com

Experience

1. Software Developer

   Amazon

   Aug 2025 — Present · Bengaluru, IN

   OTP Verification for COD Orders• Designed and built OTP-based guest checkout verification workflows reducing the Return-To-Origin (RTO) gap by bps• Developed dual-number authentication mechanisms improving fraud detection coverage and checkout security• Built low-latency OTP validation workflows (<200ms) using asynchronous processing, retry handling, and service fan-out patterns• Developed event-driven observability pipelines for real-time OTP success tracking, anomaly detection, and failure analyticsPartial COD (Hybrid Prepaid + COD)• Led end-to-end development of Partial COD workflows integrating Cart, Payments, and OMS systems• Delivered 5 out of 7 core features within 2 weeks against an estimated 17-week delivery timeline• Built idempotent and fault-tolerant payment workflows with strong consistency guarantees across services• Optimized critical payment paths achieving sub-250ms P0 latency using caching and parallel service execution• Enabled analytics pipelines for prepaid adoption tracking, conversion analysis, and RTO reduction metricsDeployment Pipeline Automation• Automated deployment pipelines across multiple backend services improving release reliability and operational efficiency• Built rollback orchestration, health-based deployment gating, and composite alarm systems for safer production releases• Built AI-assisted deployment log monitoring and anomaly detection workflows enabling proactive issue identificationBasket Building & Recommendation System• Built scalable recommendation systems for upsell, cross-sell, and intelligent product bundling campaigns• Designed event-driven backend architecture supporting 40+ TPS with 10x scalability headroom• Improved Average Order Value (AoV) by 15–25% through SKU-level recommendation and basket optimization• Integrated AI-assisted recommendation logic enabling dynamic seller-driven basket generation

Education

• Punjab Technical University

  Bachelor's degree

  2019 — 2023

Skills

• Business Development
• Django
• Hashicorp
• Git
• Go (Programming Language)
• Golang
• Engineering
• Firebase
• Node.js
• Socket.io
• Communication
• Imdb Api
• Administrative Assistance
• Twilio
• Html5
• Postgresql
• Amazon Web Services (Aws)
• Swagger Api
• Management
• C++
• React.js
• Mongodb
• Linux
• Javascript
• Stripe
• Python (Programming Language)
• Public Relations
• C (Programming Language)
• Leadership
• Docker
• Terraform
• Material-UI
• Microsoft Excel
• Reactjs
• Github
• Rest Apis
• Cascading Style Sheets (Css)
• Data Structures