Mikhail Gryzykhin
Principal Software Engineer at Concord Technologies
Greater Seattle Area United States
Summary
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Rockstar🎓
Top SchoolMikhail Gryzykhin is a Principal Software Engineer based in the Greater Seattle Area with 11+ years building high-performance backend and systems software across Microsoft, Google, Temporal, and startups. He combines deep C/C++ and C# expertise with cloud-native DevOps skills—contributing infrastructure and observability work to Apache Beam and enhancing metrics and OpenTelemetry support in Temporal. At Bing he shipped big data processing features and later focused on service reliability and metrics-driven design at Temporal and Google-scale environments. Comfortable across Windows, Linux and legacy mobile platforms (Symbian, MeeGo), he brings a mathematician’s rigor to engineering and a knack for making “code look happy” through clean, test-driven practices. Notably, his open-source contributions emphasize deployment automation and robust monitoring—bridging developer ergonomics and production observability.
11 years of coding experience
14 years of employment as a software developer
Master of science, Mathematics, Master of science, Mathematics at Yaroslavl State University
English, Russian
Stackoverflow
106reputation
8kreached
9answers
0questions
Github Skills (34)
docker10
beam10
dockers10
cicd10
automation10
go10
automation-testing10
opentelemetry10
jenkins10
jenkins-ci10
beamng10
automations10
metric10
distributed-systems9
gradle9
Programming languages (9)
Github contributions (5)
temporalio/temporal
Nov 2020 - Feb 2022
Temporal service
Role in this project:
Back-end Developer
Back-end DeveloperContributions:19 releases, 92 reviews, 98 commits in 1 year 3 months
Contributions summary:Mikhail primarily focused on enhancing the Temporal service's metrics capabilities. Their contributions included implementing custom metrics reporters and adding support for reporting metrics with different tags, which improved the system's observability. They also introduced features such as the ability to configure a custom metrics reporter and fixed issues related to metric tagging and reporting, showcasing a deep understanding of metrics implementation. The user’s work included refactoring metrics initialization and implementing OpenTelemetry metrics reporting.
service-busmicroservice-orchestrationworkflow-automationworkflow-enginedocker
apache/beam
Jun 2018 - May 2020
Apache Beam is a unified programming model for Batch and Streaming data processing.
Role in this project:DevOps Engineer
DevOps EngineerContributions:63 commits, 163 PRs, 48 pushes in 1 year 10 months
Contributions summary:Mikhail's commits primarily focus on configuring and maintaining the project's infrastructure and build processes. They made changes to Jenkins configuration files, including adding a SonarQube analysis job and updating the Dockerfile for a standalone Jenkins instance. The user also worked on scripts for building and publishing containers and updating deployment configurations, demonstrating expertise in containerization and deployment automation. They also contributed to the setup of a metrics dashboard deployment script and related logic, showcasing their involvement in monitoring and observability.
apache-beamstreaming-datapythonjavabig-data
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