AJ Bowen is a DevOps and cloud operations engineer with 14 years' experience building reliable, automated infrastructure focused on Kubernetes (EKS), Terraform, and GitOps. He helps teams adopt infrastructure-as-code, implement minimally-permissive IAM, and run cost-efficient, autoscaling ML workloads — having cut a machine learning pipeline from one week to 12 hours in production. A pragmatic troubleshooter from his time at Travis CI to Beacon Biosignals and Quantgene, he’s comfortable debugging “why do pods die?” class problems at scale and improving observability with distributed tracing and centralized logs. AJ contributes to well-known open-source projects (e.g., django-taggit and container.training) and emphasizes auditability and self-service via version control. Based in Berlin, he prioritizes work that benefits humanity and runs experiments like EphemeraSearch to preserve historical mail for genealogy.
14 years of coding experience
8 years of employment as a software developer
BA (Honors), Anthropology, French, BA (Honors), Anthropology, French at University of Kansas
Associate's degree (DEUG), Translation, Associate's degree (DEUG), Translation at Université Catholique de l'Ouest
English, French, Haitian Creole, Spanish, Russian, German, Italian
Private PaaS built on native AWS services for maximum privacy and minimum upkeep
Role in this project:
Back-end & DevOps Engineer
Contributions:65 commits, 86 PRs, 357 pushes in 3 months
Contributions summary:AJ primarily contributed to the backend and infrastructure aspects of the project. They implemented changes to handle environment variables, specifically related to AWS region configuration. Additionally, the user added tests and made adjustments to memory limits and CPU shares within the manifest files used by the PaaS. Further contributions include adding and modifying command-line interface functionality for external resource management, integrating testing, and improving the overall deployment process.
Slides and code samples for training, tutorials, and workshops about Docker, containers, and Kubernetes.
Role in this project:
DevOps Engineer
Contributions:1 review, 51 commits, 28 PRs in 5 years 9 months
Contributions summary:AJ primarily focused on enhancing the infrastructure and deployment processes for the Docker, containers, and Kubernetes training materials. Their work involved rewriting deployment scripts, particularly for AWS infrastructure, and integrating various tools and services like SSH, tmux, and AWS CLI. They also made changes to improve the user experience, such as modifying the prompt colors, and incorporated automation via autotests. These updates streamlined the setup and testing procedures for the container training environment.
containersswarmelkhelmworkshop
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