Maksym Bruner

Staff Software Engineer at Monzo Bank

United Kingdom
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Summary

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Senior
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Top School
Maksym Bruner is a Staff Software Engineer with 13 years of experience building cloud-native platforms, MLOps, and high-throughput systems across fintech and mobility domains. He has led platform and architect roles at Gojek and Motional, driving GenAI/LLM integrations, observability, and developer experience improvements that enabled 40,000 predictions/sec with 99.99% uptime. Known for combining hands-on engineering with team leadership, he has implemented GitOps/ChatOps practices, established SLIs/SLOs, and mentored hiring and onboarding processes to scale teams effectively. His FinOps and billing-pipeline work cut platform costs by up to 3x and reduced billing inaccuracies by 50%, reflecting a strong focus on measurable operational impact. Comfortable across Java, cloud architecture, and distributed systems, he also brings formal CS training from Georgia Tech and a history of reducing infrastructure costs fourfold in simulation-heavy projects. Less obvious: he often tackles both pre-sale architecture and BAU delivery, bridging sales, product, and engineering to accelerate platform adoption.
code13 years of coding experience
job18 years of employment as a software developer
bookNational Technical University "Kharkiv Polytechnic Institute"
bookMaster's degree Computer Science, Master's degree Computer Science at Georgia Institute of Technology
languagesEnglish
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Stackoverflow

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Github Skills (49)

dsl9
liquibase9
machine-learning9
mlmodel9
automation-framework9
batch-processing8
csi8
groovy8
k8s8
cloud-native8
pitest8
mlops8
event-driven8
cloudevents8
kubernetes8

Programming languages (7)

JavaShellJavaScriptGoMustacheGroovyPython

Github contributions (5)

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mbruner/mbruner.github.io

Sep 2016 - Sep 2020

Contributions:13 pushes, 1 branch in 3 years 11 months
caraml-dev/xp

Jul 2022 - Mar 2025

ML Experimentation Platform
Contributions:1 review, 1 PR, 1 push in 2 years 8 months
machine-learningdata-scienceexperimentation-platformml-experimentsmlops
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