Open to opportunities

John Jackson

@johnjackson1

Senior software development engineer building cloud automation, event-driven microservices, and real-time analytics platforms.

United States

Message

What I'm looking for

I’m looking for a team where I can architect scalable, event-driven platforms, build high-availability cloud systems, and apply AI-driven analytics to reduce incidents—while mentoring engineers in an Agile environment.

I’m a Senior Software Development Engineer at Amazon Web Services (AWS), architecting and building a global cloud automation and analytics platform. I’ve delivered event-driven microservices processing over 10 million infrastructure events daily, improving reliability and cutting operational failures by 35%.

I build backend and full-stack systems that scale across thousands of enterprise environments, using Java, Go, Python/FastAPI, and React/Next.js. I’ve improved throughput by 45%, reduced API latency by 30%, and integrated AI-driven analytics and anomaly detection to reduce incident response time by 35%, while maintaining highly available AWS infrastructure with 99.99% uptime.

Experience

Work history, roles, and key accomplishments

Current

Senior Software Development Engineer

Current

Amazon Web Services (AWS)

Apr 2018 - Present (8 years 2 months)

Architected a global cloud automation and analytics platform using Java, Go, and Python, including a high-scale event-driven microservices system processing 10M+ infrastructure events daily and reducing operational failures by 35%. Improved throughput by 45% and reduced API latency by 30%, delivered 99.99% multi-region uptime, and cut release cycles by 40% through Kubernetes/Docker CI/CD and AWS s

Java Go Python Spring Boot Microservices Event Driven Architecture Docker Kubernetes

Software Development Engineer II

Amazon

Aug 2016 - Apr 2018 (1 year 8 months)

Developed an order processing and logistics automation platform using Node.js and Python/FastAPI to improve fulfillment workflow efficiency by 30% and support reliable processing of millions of daily customer transactions. Built internal React-based operations tools to reduce manual investigation time by 35% and integrated ML demand forecasting signals to improve inventory allocation accuracy by 2