Jonas Poth

Engineering Manager DevOps at DeepL

Breckerfeld, North Rhine-Westphalia, Germany
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Summary

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Jonas Poth is an Engineering Manager specializing in DevOps with a decade of experience building and operating production infrastructure across e-commerce and SaaS environments. Currently leading DevOps at DeepL after heading infrastructure teams at Kaufland e-commerce, he focuses on resilient, scalable platforms and a "you build it, you own it" culture for teams running MySQL, MongoDB, RabbitMQ, Redis and other stateful services. Hands-on background as a backend and cloud engineer informs his leadership—he still dives into code and contributed backend fixes and generator improvements to the popular IHP web framework on GitHub. Jonas prefers remote work and brings practical expertise in cluster operations, observability, and onboarding microservice teams with robust tooling. Colleagues rely on him for hiring and technical mentorship as much as for solving operational incidents. Based in North Rhine-Westphalia, he blends operational rigor with a developer-first mindset to make infrastructure an enabler, not a bottleneck.
code10 years of coding experience
job8 years of employment as a software developer
bookBachelor's degree Informatik, Bachelor's degree Informatik at TU Dortmund University
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Github Skills (8)

application-framework10
app-framework10
web-framework10
mvc10
code-generation10
haskell9
nix8
postgresql8

Programming languages (9)

JavaC++ShellCJavaScriptHaskellHTMLNix

Github contributions (5)

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digitallyinduced/ihp

Aug 2019 - Jan 2021

🔥 The fastest way to build type safe web apps. IHP is a new batteries-included web framework optimized for longterm productivity and programmer happiness
Role in this project:
userBackend Developer
Contributions:1 release, 1 review, 228 commits in 1 year 5 months
Contributions summary:Jonas primarily contributed to the IHP web framework, with code changes focused on the back-end. Their work includes fixing validation logic, modifying controller and route generation, and adding functionalities to the view generation process. They also improved code generation by adding new features and fixing existing bugs.
ihptypesafeweb-frameworkhaskellpostgresql
Laobiz/supervised-reptile

Nov 2018 - Jan 2019

Code for the paper "On First-Order Meta-Learning Algorithms"
Contributions:13 pushes in 1 month
pytorchmeta-learning-algorithmsmeta-learningdeep-learningmeta
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