Mac Chaffee

Senior Platform Engineer @ Anaconda, Inc.

About

My deep experience in Kubernetes and the cloud-native ecosystem combined with my interest in security and site reliability engineering combines to produce rock-solid Kubernetes-based platforms. I've been doing this since before EKS even existed! I started as a software engineer at Cisco, then quickly specialized in DevOps and security. My passion for scientific computing then lead me to work for UNC Chapel Hill, Qdrant, and now Anaconda.

Country

City

United States

Industry

Computer Software

Skill

Terraform, Platform Engineering, Technical Documentation, Ansible, Security, Site Reliability Engineering, DevOps, Python, Django Web Framework, Git, Linux, Scrum, Docker, Kubernetes, Amazon Web Services (AWS)

Experience

Senior Platform Engineer

Anaconda, Inc.

2024-9 - Present · 2 yrs 1 mo

DevOps Engineer

Qdrant

2023-9 - 2024-9 · 1 yr 1 mo

Cloud DevOps SysAdmin

Renaissance Computing Institute

2021-6 - 2023-9 · 2 yrs 4 mos

Raleigh-Durham-Chapel Hill Area

Software Engineer

Cisco

2020-1 - 2021-6 · 1 yr 6 mos

Raleigh-Durham-Chapel Hill Area

Maintained the infrastructure behind a web app that runs automated tests on Cisco hardware in data centers across the Fortune 500. The job involved: • Maintaining several 11-node Kubernetes clusters • Implementing security compliance via Cisco's Secure Software Development Lifecycle • Leading the charge for improving our architecture and our development methodologies • Developing new features across the 7 microservices I maintain (out of a total of ~23)

Software Engineering Co-Op

Cisco

2019-5 - 2020-1 · 9 mos

Raleigh-Durham, North Carolina Area

Software Engineering Intern

Inmar Intelligence

2018-6 - 2018-8 · 3 mos

Greensboro/Winston-Salem, North Carolina Area

Built a highly scalable and fault tolerant application which submits rebates over text messages. Integrated it with existing services to drive revenue.

Software Engineering Co-Op

Honeywell

2016-5 - 2017-12 · 1 yr 8 mos

Raleigh, NC

Developed two multi-million-dollar websites that process hundreds of gigabytes of utility data and present it efficiently in graphs. I was responsible for the data ingestion which used Celery and RabbitMQ. Other technologies used include Python, Django, PostgreSQL, HTML/CSS/JS, Docker, and Kubernetes. Accomplishments include: • Sped up tests 3.5x while increasing coverage by 20% • Optimized our most common query to be 13x faster