Ed Bukoski is a senior software engineer with 11+ years of experience building and operating developer platforms and tooling for large enterprises, currently based in the San Francisco Bay Area. At Netflix he ensures high availability and productivity of critical dev services (Bitbucket, Jira, Confluence, Github, Artifactory) and led a cloud migration of Confluence while developing custom migration and testing tools. His background spans hands-on architecture and leadership at JPMorgan Chase, where he designed and integrated large-scale on-prem developer toolchains and coached distributed teams. He contributes to well-known open-source tooling for cloud resilience—work on Netflix's SimianArmy (Chaos Monkey family) shows skill in AWS resource tracking, metrics integration, and cleanup automation. Comfortable in both incident response and long-term capacity, scaling, and security planning, he blends operational rigor with plugin and integration development. His mix of formal engineering degrees and an MBA underpins a pragmatic approach that balances technical depth with vendor and stakeholder management.
11 years of coding experience
22 years of employment as a software developer
The University of Arizona
Master of Engineering, Software, Master of Engineering, Software at Arizona State University
MBA, MBA at Arizona State University, W. P. Carey School of Business
Tools for keeping your cloud operating in top form. Chaos Monkey is a resiliency tool that helps applications tolerate random instance failures.
Role in this project:
Back-end Developer
Contributions:3 releases, 112 commits, 93 PRs in 1 year 3 months
Contributions summary:Ed's contributions primarily focused on modifying the core components of the Simian Army tools. The commits demonstrate the addition of new features for AWS account identification, and the integration of new metrics for improved monitoring and control. They also involved enhancing the Janitor monkey feature for cleaning resources. The user's work also included refactoring and fixing bugs related to AWS resource tracking and data persistence using both SimpleDB and RDS.
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