Ranked as #12 on Forbes’ List of 25 Fastest Growing Public Tech Companies for 2017, EPAM is committed to providing our global team of over 24,000 people with inspiring careers from day one. EPAMers lead with passion and honesty, and think creatively. Our people are the source of our success and we value collaboration, try to always understand our customers’ business, and strive for the highest standards of excellence. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.
You are curious, persistent, logical and clever – a true techie at heart. You enjoy living by the code of your craft and developing elegant solutions for complex problems. If this sounds like you, this could be the perfect opportunity to join EPAM as a DevOps/Big Data Solution Architect. Scroll down to learn more about the position’s responsibilities and requirements.
Our engineers not only work closely with operations, but also with development and analytics engineers. We build data pipelines for maximum efficiency, scalability and reliability to allow domain specific engineers to focus on their specialties. The ideal candidate will have experience in being a Solution Architect in DevOps and/or Big Data.
Operate client’s largest infrastructure supporting millions of customers at double digit PB scale;
Troubleshoot complex issues across the entire stack;
Design and develop automation frameworks to handle both development and production events at scale;
Advise other teams on technical direction.
Knowledge of Linux operation system (OS, networking, process level);
Understanding of Big Data technologies (Hadoop, Hbase, Spark, Kafka, Flume, Hive, etc.);
Understanding of one or more object-oriented programming languages (Java, C++);
Fluent in at least one scripting language (Shell, Python, Ruby, etc.);
Strong verbal and written communication skills;
Passionate about being part of a tight-knit;
Operations team education B.S. degree in Computer Science or 3+ years of building data pipelines experience or equivalent.