Kate Molchanova
Senior Software Engineer II at Iguazio (Acquired by McKinsey)
United Kingdom
Summary
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Rockstar🎓
Top SchoolKate Molchanova is a Senior Software Engineer II with eight years of experience building cloud-native, scalable systems using Go, Linux, and Kubernetes across AI and enterprise infrastructures. She currently works at QuantumBlack (McKinsey) and has a history at Iguazio and Digital Security, where she rewrote latency-sensitive Python services in Go and improved DevSecOps microservices. Kate contributes to the high-performance serverless project Nuclio, enhancing Kafka triggers, Helm chart stability, and async event logging—evidence of hands-on backend and DevOps expertise in production-grade event processing. Her background spans QA automation at Dell to advanced studies in Big Data and Machine Learning at ITMO University, giving her a strong blend of reliability engineering and data-focused systems thinking. Colleagues rely on her to stabilize distributed processors and design pragmatic, observable services that keep complex pipelines running smoothly.
8 years of coding experience
6 years of employment as a software developer
Master's degree Computer Science (Big Data and Machine Learning), Master's degree Computer Science (Big Data and Machine Learning) at ITMO University
Ukrainian, Russian, English
Github Skills (10)
kubernetes10
error-handling10
kafka10
apache-kafka10
go10
helm10
devops10
back-end-development10
kubernetes-pods10
system-design9
Programming languages (4)
Github contributions (5)
nuclio/nuclio
Aug 2023 - Apr 2025
High-Performance Serverless event and data processing platform
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:2 releases, 434 reviews, 302 PRs in 1 year 8 months
Contributions summary:Kate's commits focused on implementing and improving the functionality of the Nuclio platform, particularly concerning the Kafka trigger and overall processor stability. Their contributions included fixing issues in the Helm chart for namespace access mode, adding features for worker draining on processor termination, and improving error handling in async event processing. Moreover, the user also modified logging, adding the functionality to retrieve processing logs for a specific event when working in async mode.
containersfaas-platformfunctionsdata-processingserverless
rokatyy/mlrun
Sep 2023 - Mar 2025
Machine Learning automation and tracking
Contributions:645 pushes, 141 branches in 1 year 6 months
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