CV Ernestas Poškus

Last modified: 2018-07-15 11:09:49 +0300 EEST

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Pragmatic & Ambitious

Keen interest in service oriented architecture, massive scalability,
distributed systems, Search Engines.
A programming language that doesn't change the way you
think about programming is not worth knowing. - Alan Perlis

Blog: http://out13.com
Goodreads: 42270834-ernestas-poskus
Twitter: @ernestas_poskus


Open Source



Posts


Experience


SRE @ Vinted

Peer-to-peer marketplace for women and men to sell, buy and swap clothes.
June 2016 – present
ProxySQL cluster deployment with automatic query rules service
Elasticsearch segments automatic optimization with merging and expunge
Junior peers training
Chef, Ansible & continuous deployment
Migrated all services to Systemd
Elasticsearch cluster management, breaking changes upgrading: 2.x, 5.x, 6.x
Cache layer supervision, high availability Memcached cluster using Facebook mcrouter
Complete physical hardware automation, automatic registration of all basic
server resources: CPU, RAM, DISK, NIC, Motherboard.

Backend developer @ Vinted

Peer-to-peer marketplace for women and men to sell, buy and swap clothes.
October 2015 – June 2016 (9 months)
Elasticsearch score functions, complex ranking queries
Merchandising tools
Content balancing

Software developer @ Vinted

Peer-to-peer marketplace for women and men to sell, buy and swap clothes.
April 2014 – October 2015 (1 year 7 months)
Written first service
Organic traffic optimizations

Software developer @ OXID eSales AG

Large Scale Web E-shops Development for Germany & neighbor countries.
June 2013 – April 2014 (11 months)

Education


2011 - 2015

International Business School at Vilnius University

Bachelor of International Business, International Business

2010 - 2012

Vilnius Gediminas Technical University

Bachelor of Engineering Informatics, Information Technology

Coursera Education


2015

University of Illinois at Urbana-Champaign

Cloud Networking, 80.0%
Cloud Computing Concepts part 2, 94.3%
Cloud Computing Concepts, 85.4%
Cloud Computing Applications, 93.3%

2014

University of Washington

Programming Languages, Software Engineering, 85.9%
SML, Racket and Ruby

Languages