Software Engineer Senior

Aaron Wright

Senior Software Engineer

*****.***@*****.*** 732-***-**** South Plainfield, NJ linkedin.com/in/a2ronbw SUMMARY

Senior Software Engineer with 10+ years of experience delivering scalable, user-centric web applications across fintech, ecommerce, and enterprise platforms. Specializes in modern frontend frameworks including React, Angular, Vue.js, and TypeScript, with strong backend expertise in Node.js, Go, Java, and Python. Proficient in designing REST and GraphQL APIs, building cloud-native microservices, and deploying to AWS and Azure using Docker, Kubernetes, and serverless architectures. Drives CI/CD automation, performance optimization, and test coverage using tools like Jest, Mocha, Cypress, and GitHub Actions. Known for mentoring engineers, leading cross-functional initiatives, and building clean, maintainable code that powers high-growth, production-scale systems. SKILLS

React ReactNative Angular Javascript TypeScript Tailwind CSS Node.js Go Python Java Spring Boot GraphQL REST API Redis PostgreSQL MongoDB AWS Docker Kubernetes Jenkins GitHub Actions Jest Mocha Cypress EXPERIENCE

Meta

Senior Software Engineer

03/2021 – Present

•Modernized the Meta's Ads Platform frontend using React, GraphQL, and TypeScript, improving developer velocity by 20% and reducing page load times by 15%.

•Drove an 8% increase in mobile engagement on Threads by enhancing UX through modular, responsive React Native components.

•Led migration from legacy REST APIs to GraphQL, improving data fetching efficiency and cutting frontend query payload size by 40%.

•Scaled backend APIs in Node.js and Go to support 100M+ daily active users across Threads messaging and Ads Platform, ensuring 99.99% uptime and robust fault tolerance.

•Collaborated with cross-functional teams to architect scalable microservices, increasing platform throughput by 30% during peak ad bidding periods.

•Reduced cold start latency by 25% and API response times by 20% by introducing shared caching layers and optimized infrastructure across both projects.

•Integrated PyTorch-based machine learning models into ad ranking workflows, boosting click-through rates (CTR) by 7% through personalized recommendations.

•Designed and deployed observability pipelines with OpenTelemetry and Grafana, enabling real-time monitoring and reducing incident response times by 30%.

•Automated CI/CD pipelines using Jenkins and GitHub Actions, decreasing release cycles from weekly to daily and improving deployment reliability.

•Mentored 3 junior engineers and conducted knowledge-sharing sessions, fostering team growth and improving code quality with best practices in TypeScript and testing frameworks like Jest and Cypress.

IBM

Senior Software Engineer

08/2017 – 02/2021

•Led modernization of legacy enterprise apps by introducing microservices and designing responsive, WCAG-compliant UIs with React, Angular, and TypeScript, resulting in faster release cycles and improved UX.

•Implemented a GraphQL API layer to reduce over-fetching, improving frontend performance and user experience.

•Refactored and containerized a legacy Java monolith into Spring Boot and Node.js microservices on IBM Cloud Kubernetes, increasing system performance by ~30% and maintainability.

•Partnered with cross-functional teams to architect and implement scalable REST and GraphQL APIs, supporting 100,000+ daily active users and ensuring high availability under peak load.

•Built and maintained CI/CD pipelines using Jenkins, Docker, and Kubernetes, reducing manual deployment steps and increasing release frequency from monthly to weekly.

•Integrated monitoring with Prometheus, Grafana, and centralized logging (ELK), cutting mean time to resolution by 40%.

•Partnered with PMs and UX designers to deliver business-aligned features with 99.9% uptime, improving team output and cross-project consistency. McKinsey & Company

Software Engineer

08/2012 – 06/2017

•Built healthcare analytics dashboards and internal tools using AngularJS, JavaScript, and D3.js, enabling consultants to visualize patient flow, treatment costs, and operational KPIs.

•Developed backend services in Java and Python, with REST APIs and PostgreSQL, to support data modeling for hospital networks and payer systems.

•Automated ingestion of clinical and claims data from CSV and Excel formats, reducing manual prep time for consultants by 50%.

•Contributed to ETL pipelines for aggregating health outcomes data, supporting projects in value-based care and population health.

•Implemented unit tests and participated in code reviews using Mocha and Chai, helping improve code quality and maintainability.

EDUCATION

Bachelor's degree in Computer Science

University of Chicago

2008 – 2012

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