Antonio Zamudio

About

Lead Software Engineer with 12+ years of experience designing and delivering high-performance fintech and e-commerce platforms. Expertise across distributed systems, microservices architecture, cloud-native development, and AI-driven automation. Proven track record leading engineering teams, optimizing system performance, and building resilient platforms handling millions of transactions daily.

Experience

• Lead Software Engineer · Nike01-01-2022

  •Led the architecture and development of enterprise fintech platforms processing $20M+ daily transactions, using Python, Java, Node.js, and Spring Boot to deliver scalable, fault-tolerant distributed systems. •Designed and implemented microservices and event-driven architecture using Kafka, gRPC, and FastAPI, improving throughput by 35% and reducing latency across critical services. •Developed AI-driven automation workflows leveraging Python and LLM APIs, eliminating 5,000+ manual hours per year and reducing operational errors by 25%. •Built real-time streaming pipelines using Kafka, Spark, and Flink, enabling near real-time analytics for financial decision-making. •Managed cloud-native infrastructure on AWS (EC2, Lambda, EKS, S3) with Docker, Kubernetes, and Terraform, improving deployment reliability and reducing operational costs. •Mentored 7+ engineers, introduced coding standards, CI/CD pipelines (Jenkins, CircleCI), and Agile best practices, improving team delivery velocity by 20%. •Implemented observability and monitoring with Prometheus, Grafana, and centralized logging, improving incident detection and resolution. •Optimized PostgreSQL and Redis for sub-second response times under heavy transactional load.

• Senior Software Engineer · USA Home Listings02-01-2019 – 10-31-2021

  •Developed scalable fintech and e-commerce platforms for 2M+ users using Node.js, TypeScript, and Java (Spring Boot), and modern frontend frameworks (React, Next.js, Vue.js). •Architected containerized microservices using Docker and Kubernetes, reducing backend latency by 30% and achieving 99.8% uptime. •Built distributed caching and search solutions using Redis and Elasticsearch, improving query performance by 40%. •Developed secure RESTful and GraphQL APIs with JWT and OAuth2, adhering to OWASP standards and protecting sensitive financial data. •Designed analytics pipelines with Python and SQL, enabling real-time reporting and improving decision-making by 15%. •Optimized PostgreSQL, MySQL, and MongoDB databases with indexing and query tuning. •Introduced event-driven architectures with Kafka and RabbitMQ, improving service decoupling and scalability.

• Software Engineer · Spreedly07-01-2015 – 11-30-2018

  •Developed Python and Django fintech platform services handling $50M+ monthly transactions, ensuring high reliability and scalability. •Reduced backend latency by 25% through code and PostgreSQL optimization, improving transaction throughput. •Implemented monitoring and alerting systems with Grafana and centralized logging, reducing incident response time from 4 hours to <1 hour. •Improved system availability to 99.7% through fault-tolerant design and retry mechanisms. •Contributed to secure payment infrastructure using encryption, secure APIs, and compliance best practices.

• Software Engineer Intern · Spreedly09-01-2014 – 07-31-2015

  •Assisted in developing backend financial systems using Python and Flask, processing $5M+ monthly transactions. •Increased automated test coverage from 60% to 95%, reducing post-deployment defects by 30%. •Developed internal debugging and monitoring tools using Python, improving engineering efficiency. •Collaborated with senior engineers to enhance system performance, maintainability, and reliability.

Education

• Stanford UniversityMaster of Science in Computer Science, Computer Science
• Stanford UniversityBachelor of Science in Computer Science, Computer Science

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