Kunal Malhotra
SDE-2@ Amazon
- Role
- Software Development Engineer at Amazon
- Location
- North Delhi, DL, IN
- LinkedIn followers
- 500 followers
About Kunal Malhotra
Software Engineer with 8+ years of experience in designing and scaling high-performance distributedsystems. Specializes in optimizing infrastructure, improving eciency, and ensuring reliability forhigh-throughput applications at scale.Skills : • Backend: Node.js, Typescript, ExpressJs, Springboot, gRPC, RabbitMQ, Elastic Search.• Programming Languages: C, C++,ABAP,Java,JS.• Databases: MySQLite, MongoDB, MySQL,PostgreSQL,HANA• Cloud Platform: Docker, NGINX, Jenkins, AWS (RDS, OpenSearch, ECS, S3, ACM, CloudFront• Integrations: Razorpay, Namecheap, Socket.io, Sendbird, Sendgrid, GoogleAPI• Version Control: Git• Software: MS-Office, GitHub, GitLab,JIRA.
Experience
Software Development Engineer
Nov 2023 — Present · Bengaluru, IN
Led full-fleet migration to a new AWS region, enhancing disaster recovery, regional resilience, andavailability for Tier-1 services.• Executed migration of 12 services to JDK17, which involved modernizing a decade-old monolithicsystem, significantly improving performance and maintainability and bringing $10k peak savings.• Optimized fleet capacity & conducted large-scale load testing for major global sales events, en-suring seamless scaling for billions of requests during peak trac (28Bn+).• Implemented distributed caching for a Tier-1 service, reducing API response latency by 20% andeliminating host-level cache complexity.• Designed OAuth2-based authentication & authorization for 8 microservices handling high TPS(15K+), securing inter-service communication and aligning with Amazon-wide compliance stan-dards.• Pioneered org-wide oce hours to support teams in JDK17 migration, facilitating smootheradoption across multiple services.• Developed a GenAI-powered log retrieval system, enabling natural language queries for host-levellogs, saving countless developer hours across the org.• Built an AI-driven documentation assistant, scraping service-related documentation to provideinstant, context-aware responses for internal clients.• Automated scaling for peak loads, onboarding multiple services onto an auto-scaling platform,ensuring cost-ecient trac handling.• Implemented compliance workflows (GDPR), collaborating with legal teams to ensure regulatoryadherence.• Achieved full CI/CD automation, integrating deployment tests to enhance release reliability andoperational agility.
Education
P.D.M. college of Engineering
Bachelor of Technology (B.Tech.), Computer Science
2013 — 2017
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