Summary
Jason Mahony is a Principal Software Engineer with 12+ years of experience specializing in cloud-native architectures, DevOps automation, and cloud financial management. Based in San Francisco, he builds data-driven tooling in AWS—using Airflow, Snowflake, Lambda, and Terraform—to uncover cost-saving insights and optimize AI/ML training and inference expenses at scale. At Autodesk he led multi-region microservices migrations, containerization efforts, and SLO-driven reliability work that materially improved signal-to-noise and availability. His background spans infrastructure as code, CI/CD strategy, and performance/load engineering, with a practical streak for reducing outages and operational overhead. Notably, he pairs applied math training with hands-on systems engineering to translate telemetry into predictable cost and performance outcomes.
12 years of coding experience
17 years of employment as a software developer
BSc Applied Mathematics minor in Electronics Engineering, BSc Applied Mathematics minor in Electronics Engineering at Simon Fraser University
English, French