Senior Full-Stack Engineer React + Node.js Expert

Joseph Cho Senior Fullstack Engineer

********@*****.*** 929-***-**** Brooklyn, NY

linkedin.com/in/jscho13

Profile

Senior Full-Stack Engineer with over 10 years of experience in designing, developing, and deploying highly scalable, performance-driven applications. Specializes in frontend technologies (React, Next.js, TypeScript) while having deep expertise in backend systems

(Node.js, GraphQL, PostgreSQL), and cloud-native solutions (AWS, GCP). A proven leader in architecting web applications, optimizing user experiences, and ensuring seamless frontend-backend integration. Adept at driving team collaboration, mentoring junior engineers, and delivering robust solutions that meet both business needs and user expectations.

Skills

Frontend Development – React, Next.js, TypeScript, JavaScript (ES6+), Redux, Material-UI, TailwindCSS, Webpack, Jest, Cypress, HTML5, CSS3

Backend Engineering – Node.js, Express, GraphQL, RESTful APIs, PostgreSQL, Redis, Kafka, Python (Flask/FastAPI), SQL Server

Cloud & DevOps – AWS (EC2, ECS, RDS, Lambda, S3, CloudFront), GCP (Pub/Sub), Docker, Kubernetes, Terraform CDK, CI/CD (GitHub Actions, CircleCI) Architectural Design – Microservices, Event-Driven Systems, Micro-Frontends, Domain- Driven Design (DDD), Clean Architecture, Performance Optimization AI Integrations – Data Visualization, Real-Time Analytics, Personalization Algorithms, Vector Databases (Pinecone, Weaviate)

Leadership & Collaboration – Cross-Functional Leadership, Code Reviews, Agile Methodologies, Mentoring Engineers, Stakeholder Communication Professional Experience

Frontend Engineer, Amazon Web Services (AWS) 06/2021 – Present New York, NY AWS provides global cloud infrastructure and services, supporting millions of enterprise clients. As part of the Cloud Control team, I lead the development of a React-based frontend for managing AWS cloud resources.

•Architected and delivered a responsive, React + Next.js frontend to manage AWS cloud services, reducing user interaction time by 30% and improving overall workflow efficiency for enterprise clients.

•Developed micro-frontend architecture using Webpack Module Federation, enabling scalable releases and ensuring high modularity across teams working on different AWS product features.

•Integrated GraphQL and Node.js APIs with real-time cloud service updates, providing a unified interface for customers managing multi-region infrastructure, reducing data retrieval time by 40%.

•Led performance optimization initiatives, implementing code-splitting, lazy loading, and dynamic rendering, decreasing page load times by 35%.

•Implemented advanced logging and monitoring using AWS CloudWatch, enabling improved tracking of frontend performance and user behavior.

•Introduced a CI/CD pipeline using Terraform and GitHub Actions, enabling automated deployments to production with zero downtime.

•Collaborated with cross-functional teams including backend engineers, designers, and product managers to prioritize features, define requirements, and enhance system scalability.

Key Technologies: React, Next.js, TypeScript, Node.js, GraphQL, Kafka, Redis, AWS (ECS, Lambda, S3, CloudFront), Docker, Terraform CDK

Frontend Engineer, Vroom Inc 10/2019 – 06/2021 New York, NY Vroom is an online e-commerce platform for buying and selling used vehicles. As a frontend engineer, I was responsible for developing a seamless and intuitive user interface for browsing vehicles and managing the purchasing process.

•Led the development of a React + Next.js frontend for product listing pages, providing real-time updates and filters for over 10,000 vehicles, improving the search experience by 40%.

•Implemented real-time data syncing with Node.js APIs, leveraging Kafka for backend communication, and Redis to cache frequently requested data, reducing load times by 30%.

•Built a cross-platform mobile app interface using React Native for the vehicle purchasing experience, providing users with a consistent experience across web and mobile.

•Optimized performance by leveraging GraphQL to reduce unnecessary data fetching and by incorporating code-splitting for faster content delivery.

•Integrated Machine Learning-based recommendations for personalized vehicle suggestions based on user browsing and purchase history, improving conversion rates by 18%.

•Led the transition to TypeScript for better maintainability and type safety across large codebases, ensuring long-term scalability.

•Developed a CI/CD pipeline using AWS CodePipeline and CircleCI, automating testing and deployments to ensure faster and more reliable releases. Key Technologies: React, Next.js, TypeScript, Node.js, GraphQL, Kafka, Redis, PostgreSQL, React Native, AWS (S3, Lambda, CloudFront), Docker, CircleCI Software Developer, MackeyRMS 02/2016 – 10/2019 Boston, MA MackeyRMS provides portfolio management solutions for financial institutions. As a software developer, I contributed to building scalable front-end applications and real-time financial data solutions.

•Developed and maintained React and Redux-based dashboards for portfolio managers, enabling quick data access and reducing decision-making time by 25%.

•Refactored legacy components from Backbone.js to React, significantly reducing technical debt and improving maintainability.

•Created a RESTful API layer with Node.js and PostgreSQL, ensuring secure and efficient access to large financial datasets for real-time tracking.

•Built real-time notifications using Kafka and Node.js, notifying users of market changes and portfolio events, ensuring immediate response times.

•Optimized SQL queries and introduced indexing strategies, improving data retrieval times by 35% for real-time financial analysis.

•Conducted performance profiling and tuning, improving the overall frontend load times and application responsiveness by 20%.

Key Technologies: React, Redux, Node.js, PostgreSQL, Kafka, REST APIs, Docker, AWS (S3, Lambda)

Data Integration Engineer,

Arcadia Healthcare Solutions

09/2014 – 11/2015 Boston, MA

Arcadia Healthcare Solutions provides data-driven solutions for healthcare organizations. In this role, I developed ETL pipelines and built front-end dashboards to deliver critical health analytics.

•Designed and implemented dynamic dashboards in AngularJS and D3.js to visualize real- time clinical data, improving healthcare decision-making by 30%.

•Built ETL pipelines in Python, processing large healthcare datasets from disparate sources into a unified database, streamlining data analysis for clinical teams.

•Ensured HIPAA compliance by implementing robust data encryption and access control measures on all sensitive patient data.

•Developed frontend integrations to pull real-time data from AWS S3 and RDS, delivering performance metrics and patient insights to doctors and administrators. Key Technologies: Python, AngularJS, D3.js, AWS (Lambda, S3), SQL Server Education

Bachelor of Science in Computer Science,

Boston University

2010 – 2014

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