Principal Software Engineering Manager at Microsoft
Monroe, Washington, United States
Join Prog.AI to see contacts
Join Prog.AI to see contacts
Summary
👤
Senior
John Arnold is a Principal Software Engineering Manager with 12+ years driving Azure WAN capacity planning, deployment automation, and network topology engineering at Microsoft, combining deep hands-on experience from datacenter operations to network architecture. He brings a rare hardware-aware software perspective—comfortable down to switch silicon, optics, memory and CPU architecture—which he leverages to design safer, more efficient automation and monitoring systems. John has led distributed task frameworks, multi-vendor device libraries, CI/CD and auto-remediation platforms while contributing to notable open-source projects like Apache Airflow and SONiC tooling. Known for turning complex, cross-domain problems into operational solutions, he blends technical leadership with practical DevOps craftsmanship and strong operational instincts. Based in Monroe, WA, he enjoys finding gaps others miss and shaping future datacenter and networking technologies.
Contributions:11 commits, 8 PRs, 5 pushes in 1 month
Contributions summary:John primarily focused on configuring and maintaining the infrastructure, with the bulk of their work involving Ansible roles to manage SONiC configuration. They implemented and updated various system configurations, including networking, routing (Quagga), and container orchestration via systemd. The user also worked on Docker-related tasks, such as image cleanup and container management, showcasing a strong understanding of containerization within this SONiC environment.
Apache Airflow - A platform to programmatically author, schedule, and monitor workflows
Role in this project:
Back-end & DevOps Engineer
Contributions:7 PRs, 24 comments in 1 month
Contributions summary:John contributed to the Apache Airflow project by addressing various issues related to logging, environment variable handling, and task execution. Their work involved modifying core files such as `airflow/jobs.py`, `airflow/executors/celery_executor.py`, and `airflow/models.py` to improve logging details, pass environment variables to subprocesses, and fix duration calculations. The user also worked on improving task runners and executor configurations, which suggests a focus on operational efficiency and reliable workflow execution within the Airflow platform. The commits indicate a strong understanding of the project's internal workings and focus on addressing both bug fixes and code improvements.
monitorpythonschedulerapacheprogrammatically
Find and Hire Top DevelopersWe’ve analyzed the programming source code of over 60 million software developers on GitHub and scored them by 50,000 skills. Sign-up on Prog,AI to search for software developers.
Request Free Trial
John Arnold - Principal Software Engineering Manager at Microsoft