Mark Magahis is a pragmatic software developer with nearly a decade of engineering experience designing and operating cloud-native services, currently building systems at Paramount after recent senior roles in identity, ingestion, and asset management. He pairs strong backend skills in Python and Erlang with hands-on AWS expertise—ECS, DynamoDB, Kinesis, Lambda and CI/CD—having led migrations from legacy platforms to cloud services and optimized metadata and ingestion pipelines. Comfortable across the full lifecycle, he practices TDD, leverages DataDog and PagerDuty for observability, and integrates product feedback into rapid, reliable releases. An active polyglot contributor, he has implemented algorithmic solutions across languages in a well-known sample-programs repo, reflecting a taste for clean problem-solving beyond day-to-day systems work.
9 years of coding experience
8 years of employment as a software developer
Bachelor of Science (BS) Computer Science, Bachelor of Science (BS) Computer Science at Texas State University
Bachelor of Science (BS) Music Business, Bachelor of Science (BS) Music Business at Full Sail University
Contributions:9 commits, 6 PRs, 3 comments in 11 months
Contributions summary:Mark contributed to the project by implementing solutions to the "Baklava" pattern in multiple programming languages. Their work primarily involved writing and refactoring code in Swift and Erlang. They also added reverse string and factorial implementations in Erlang. The user’s contributions demonstrate a focus on algorithm implementation and problem-solving across various programming languages within the repository's context.
Contributions:18 commits, 13 PRs, 29 pushes in 3 years 2 months
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