Senior Software Engineer - Cloud & AI Systems Architect

Diksha Godse

New York City, NY – USA

H +1-781-***-**** • B *********@*****.*** • diksha-godse

Professional Summary

Senior Software Engineer with 8+ years of experience designing and developing distributed, mobile, and web applications. Proficient in React, React Native, Java/J2EE, and cloud-native systems on Azure, AWS, and GCP. Strong expertise in scalable architecture, design patterns, REST/GraphQL APIs, and automation frameworks. Passionate about leveraging AI, data, and cloud technologies to deliver performant, user-centric, and secure solutions.

Technical Skills

Languages: Java, Python, TypeScript, JavaScript, Swift, Kotlin, Scala, SQL, PL/SQL Frontend / Mobile: React.js, React Native, Angular, SwiftUI, UIKit, Android SDK, Cocoa, Redux, HTML5, CSS3, Next.js, Bootstrap Back-End: Spring Boot, Node.js, Express.js, REST / GraphQL APIs, Event-Driven Architecture (Kafka, RabbitMQ, SNS/SQS) Cloud / DevOps: Azure (App Service, Functions, Cosmos DB, DevOps, Monitor), AWS (Lambda, ECS, DynamoDB, EventBridge), GCP

(Pub/Sub, Dataflow, BigQuery), Docker, Kubernetes, Jenkins, Terraform, CI/CD Architecture / Design: Microservices, Distributed Systems, Scalability, High Availability, Disaster Recovery, API Gateway, Load Balancers, Object-Oriented Design, Design Patterns, Data Structures Data / Analytics: Spark, Airflow, Kafka Streams, Cassandra, Elasticsearch, Data Modeling, ETL Pipelines, Power BI, Tableau Testing / Automation: JUnit, Mockito, Cypress, Jest, Selenium, Appium, XCTest, Automation Frameworks, Code Reviews AI / ML: Large Language Models (OpenAI, LangChain), Prompt Engineering, MLflow, TensorFlow, PyTorch, NLP Integration, Generative AI Tools & Practices: Git, GitHub, Jira, Agile/Scrum, Confluence, Azure DevOps, Feature Flags, Firebase, Crashlytics, Xcode Instruments, Agile SDLC

Experience

Amazon.com, Inc. New York, NY

Software Development Engineer Sep 2022 – Present

{ Architected and implemented microservices and APIs for Ads Monetization handling billions of events monthly.

{ Developed React and React Native applications with AWS, optimizing performance and achieving a 35% improvement in responsiveness.

{ Built a cloud-native billing platform processing $5B+ monthly, leveraging serverless design and event-driven patterns.

{ Integrated analytics and telemetry dashboards using AWS CloudWatch and AWS X-Ray for reliability and performance tracking.

{ Enhanced reliability and reduced Sev-2 outages by 30% via proactive monitoring and automation. Radix Health Technologies Pune, India

Senior Software Engineer Mar 2019 – Jul 2021

{ Delivered a React Native patient app used by 2M+ patients and 40k+ providers monthly.

{ Designed distributed Spring Boot and Node.js services on Azure, achieving 99.99% uptime.

{ Implemented analytics, crashlytics, and CI/CD monitoring to improve system stability and observability.

{ Mentored 5+ engineers on code quality, design patterns, and DevOps best practices. FIS Global Pune, India

Software Engineer Apr 2016 – Mar 2019

{ Developed banking applications and backend APIs to reconcile and process 177M+ monthly transactions efficiently.

{ Improved performance by 25% through optimized SQL queries and multi-threaded design.

{ Automated deployment pipelines (Jenkins, Terraform) and introduced QA automation, cutting release cycles by 50%. Education

Northeastern University Boston, MA

M.S. in Information Systems, GPA: 3.7 May 2021 – Aug 2022 Savitribai Phule Pune University Pune, India

B.E. in Computer Engineering Aug 2012 – May 2015

Key Projects and Achievements

{ Full-Stack Ads Billing Platform: Led development of a billing-as-a-service module for Ads Monetization using Java, React, and AWS microservices. Implemented data pipelines and reconciliation systems handling monthly transactions with <1% variance.

{ Cross-Platform Mobile Architecture: Developed React Native components for iOS/Android, integrating Firebase and analytics SDKs.

{ AI Code Assistant: Implemented LLM-based code generation workflow using OpenAI API and LangChain.

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