Tuomas Katila
Cloud SW Engineer at Intel Corporation
Tampere, Pirkanmaa, Finland
Summary
👤
Senior🎓
Top SchoolTuomas Katila is a seasoned Cloud Software Engineer with over a decade of experience building testable, production-grade systems across kernel, embedded, desktop and cloud stacks. At Intel he develops Kubernetes extensions, CI/CD and manufacturing test solutions, and has hands-on expertise in Linux kernel drivers, Yocto-based OS integration and Qt-based application development. He blends low-level protocol knowledge—802.11/WLAN driver behaviour and detailed protocol verification—with higher-level system automation using Python, Bash, Go and Jenkins. An active contributor to Intel’s device-plugins for Kubernetes, he has added GPU tile and NUMA-aware features that surface hardware topology into container orchestration. Comfortable from command-line tooling and emacs to Android build hacking and release management, he’s as much at home debugging device drivers as designing test automation frameworks. Based in Tampere, Finland, he brings a pragmatic, systems-first approach that uncovers subtle hardware-software interactions early in the delivery cycle.
10 years of coding experience
6 years of employment as a software developer
M.Sc, Communications, Programming, M.Sc, Communications, Programming at Tampere University of Technology 1965-2018
Github Skills (7)
kubernetes10
go10
cloud-computing10
back-end-development10
plugin10
kubernetes-pods10
edge-computing9
Programming languages (9)
Github contributions (5)
intel/intel-device-plugins-for-kubernetes
Dec 2021 - Jan 2023
Collection of Intel device plugins for Kubernetes
Role in this project:
Back-end Developer
Back-end DeveloperContributions:9 releases, 551 reviews, 30 commits in 1 year 1 month
Contributions summary:Tuomas primarily focused on enhancing the Intel device plugins for Kubernetes, specifically by adding features related to GPU tile management. Their contributions included adding a total tile count to node labels and implementing support for gas-container-tiles annotations, which map container annotations to L0 affinity masks. They also introduced NUMA node mapping for GPUs. These changes involved modifications to both the labeler and resource manager components, demonstrating a focus on integrating hardware-specific details into the Kubernetes environment.
swrepoedge-computingcloud-computingintelcloud
tkatila/intel-device-plugins-for-kubernetes
Jan 2022 - Mar 2025
Collection of Intel device plugins for Kubernetes
Contributions:3 releases, 1 review, 21 PRs in 3 years 2 months
kubernetesintel
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