John Mikos is a Staff Software Engineer and seasoned technology leader with two decades of experience delivering large-scale backend, cloud and infrastructure solutions across finance, SaaS, and platform organisations. He combines hands-on engineering with strategic leadership—building platform teams, driving GitOps and Kubernetes migrations, and cutting provisioning and deployment times from months to minutes while saving significant costs. At SeatGeek he led developer acceleration efforts that processed billions of API requests monthly, standardised tooling and authentication to slash costs and latency, and scaled deployment pipelines to hundreds of thousands of deploys per month. His career includes major infrastructure modernisations—PKI rollout, database federation, and CI/CD automation—that materially reduced MTTR and incident impact, and he contributes to SaltStack open-source modules improving LXC and SMTP capabilities. Based in London, he’s known for pairing pragmatic engineering with cultural change to make teams owners of their lifecycle and for a "jack of all trades, master of some" approach that blends deep backend expertise with operational craft.
10 years of coding experience
10 years of employment as a software developer
Computer Science, Computer Science at Universidade Federal do Paraná
Software to automate the management and configuration of infrastructure and applications at scale.
Role in this project:
Back-end Developer
Contributions:28 commits, 6 PRs, 46 comments in 2 years 9 months
Contributions summary:John primarily focused on improving the LXC module in the SaltStack project by modifying the code to correctly accept memory configuration in MB as documented. They also merged changes from the 'develop' branch, integrating fixes for Infoblox and VMware modules, ensuring code consistency. Additionally, the user contributed by adding attachment support to the smtp state and module, enhancing the functionality of email sending within the SaltStack framework.
Python-based tool to synchronize and generate subtitles using AI.
Contributions:15 releases, 2 reviews, 29 PRs in 9 months
aipythoncligeminisubtitles
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