Ernestas šostakas
About Ernestas šostakas
Ernestas Šostakas is a Site Reliability Engineer currently employed at Vinted in Vilnius, Lithuania. He has a background in software development, having previously worked at Nasdaq and Swedbank, and holds a Bachelor's degree in Computer Science from Vilnius University.
Work at Vinted
Ernestas Šostakas has been employed at Vinted, also known as Kleiderkreisel, as a Site Reliability Engineer since 2021. His role focuses on ensuring the reliability and performance of the platform's infrastructure. Based in Vilnius, Lithuania, he has contributed to maintaining high service availability and optimizing system performance. His responsibilities include managing Elasticsearch clusters and metrics, as well as visualizing physical hardware costs and managing assets.
Previous Experience at Nasdaq
Prior to his current role, Ernestas Šostakas worked at Nasdaq as a Senior Software Developer from 2019 to 2021. During his two years at the company, he was based in Vilnius, Lithuania. His work involved software development tasks that contributed to the functionality and reliability of Nasdaq's services.
Background in Software Development
Ernestas has a diverse background in software development, having held positions at various organizations. He worked as an Assistant - Mobile Developer at Lietuvos draudimas, AB for one month in 2019 and as a Software Engineer at Swedbank for four months in 2018. Additionally, he completed a Smart Internship at Vilniaus universitetas / Vilnius University from 2018 to 2019, gaining valuable experience in the field.
Education and Expertise
Ernestas Šostakas studied Computer Science at Vilniaus universitetas / Vilnius University, where he earned his Bachelor's degree from 2016 to 2022. He also completed his secondary education at Pabradė ,,Ryto'' gymnasium. His academic background has provided him with a solid foundation in software engineering principles and practices.
Technical Skills and Contributions
Ernestas possesses technical expertise in various areas, including NUMA for efficient resource usage, Kafka and Kafka Connect for data ingestion, and Elasticsearch for managing data and metrics. He has contributed to open source projects and released several projects on GitHub. His work includes developing an Elasticsearch exporter written in Rust and addressing challenges related to sharding and scaling Elasticsearch.