Aleksei Semiglazov
Senior Systems Engineer Workers AI at Cloudflare
London, England, United Kingdom
Summary
🤩
Rockstar🎓
Top SchoolAleksei Semiglazov is a Senior Systems Engineer with 11 years of experience building and operating high-throughput, fault-tolerant platforms at scale, currently focused on Workers AI and inference autoscaling at Cloudflare. He combines deep systems and SRE expertise—spanning bare-metal tuning, Kubernetes-native schedulers, ClickHouse cluster orchestration, and distributed observability—with hands-on development in Rust, Go, and platform automation. Aleksei has driven cross-team projects like a distributed edge Images API, a Rust background-task system adopted company-wide, and autoscaling pipelines that cut latency and resource waste. An active contributor to the Thanos project, he has improved public-network readiness, compaction stability, and memory optimizations for long-term Prometheus storage. Fluent in English and experienced across multi-datacenter operations, he pairs pragmatic engineering with a knack for reducing operational risk through tooling and clear incident practices.
11 years of coding experience
9 years of employment as a software developer
Bachelor of Technology (BTech) Telecommunications, Bachelor of Technology (BTech) Telecommunications at Vyatka State University
Russian, English
Github Skills (13)
pact10
go10
prometheus10
pac10
devops10
high-availability9
kubernetes-pods9
object-store9
monitoring9
object-storage9
kubernetes9
storage9
cnc8
Programming languages (12)
Github contributions (5)
thanos-io/thanos
May 2018 - Apr 2019
Highly available Prometheus setup with long term storage capabilities. A CNCF Incubating project.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:12 commits, 15 PRs, 134 comments in 10 months
Contributions summary:Aleksei's contributions focused on enhancing the Thanos project's functionality and stability. They implemented features to allow Thanos components to work in public networks, including the addition of secret keys and network type configurations. Further contributions involved improving the documentation process and addressing edge cases in the compaction process, and the sidecar reloader. Also, they optimized memory usage during downsampling and implemented a mechanism to pre-compute the index cache during compaction.
promqlobservabilityprometheusstoragegoogle-cloud-storage
xjewer/golang-builder
Jun 2016 - Sep 2017
Contributions:7 releases, 11 PRs, 5 pushes in 1 year 3 months
golangcontainerslight-weightlightpackaging
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