Semih Buyukgungor
Software Engineer at MaestroHub
Istanbul, Türkiye Turkey
Summary
🤩
Rockstar🎓
Top SchoolSemih Buyukgungor is a software engineer with five years of hands-on experience building backend and cloud-native systems from Istanbul. He has contributed to Hazelcast’s core platform, improving ECS, Kubernetes discovery, and multi-cloud Terraform tests—work that touches a widely used real-time data platform. His career includes roles across startups and scale-ups where he focused on backend and DevOps integrations, shipping pragmatic fixes for availability zones, DNS retries, and load-balancer edge cases. Currently at Zenarmor, he brings practical infrastructure insight gained from both production code and open-source collaboration. Semih pairs a Computer Software Engineering degree with a pattern of tackling gnarly infrastructure edge cases that often go unnoticed until production. Colleagues value him for reliably translating cloud operational problems into maintainable code.
5 years of coding experience
3 years of employment as a software developer
Bachelor's degree, Computer Software Engineering, Bachelor's degree, Computer Software Engineering at Istanbul Sabahattin Zaim University
Github Skills (20)
kubernetes10
java10
javas10
aws10
kubernetes-pods10
terraform9
gcp9
microsoft-azure9
distributed-systems9
terraformer9
azure9
stream-processing8
backend8
realtime7
caching7
Programming languages (13)
Github contributions (5)
hazelcast/hazelcast
Oct 2022 - Nov 2022
Hazelcast is a unified real-time data platform combining stream processing with a fast data store, allowing customers to act instantly on data-in-motion for real-time insights.
Role in this project:
Back-end & DevOps Engineer
Back-end & DevOps EngineerContributions:13 reviews, 6 commits, 48 PRs in 6 days
Contributions summary:Semih primarily contributed to the backend and infrastructure components of the Hazelcast platform. Their work involved modifying AWS-related code, specifically in the area of ECS integration, to fetch availability zone information and cluster details. The user also worked on improving the Kubernetes discovery plugin by adding timeouts, handling edge cases with load balancers, and resolving DNS issues with retries. Additionally, the user addressed issues in the GCP and Azure Terraform test setups.
computationstream-processingbigtablereal-timestreaming-data
semihbkgr/hazelcast
Aug 2022 - Apr 2024
Open Source Streaming Data Platform
Contributions:59 pushes, 23 branches in 1 year 8 months
streaming-datahazelcaststreamingstreamdata-platform
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