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Project description
EPAM Systems provides 24/7 support service for major cloud platform users. Support team is distributed between multiple locations. We are hiring people to extend support in Japanese, Chinese and Korean languages.
Responsibilities
- Provide support to customers using Cloud Platform products, solutions and APIs, including Big Data and related services.
- Provide technical assistance and support as part of a global 24x7-support organization.
- Work closely with engineers and product managers to improve the product and make our customers successful.
- Incident Management, Problem Management and Change Management: change requests and incident ticket handling for the remaining Infrastructure Teams.
- Provide technical and developer support to customers using Cloud Platform products, solutions and APIs.
- Follow notification and escalation procedures.
- Follow standards for communications with business involving operational issues.
- Identify and document product bugs and feature requests and work with internal support teams as well as customers to implement effective solutions
- Work closely with internal support team s to improve cloud products at a senior level
Required skills
- 3+ years’ experience fully as developer or a combination developer + big data engineer
- Ability to read and understand code, able to write code to reproduce customer problems.
- Strong research, analytical and problem-solving skills required to work with petabyte or even exabytes of data.
- Familiar with web protocols (HTTP, TLS/SSL, etc).
- Firm understanding of programming (Java, C++, C#, Scala, Python, etc.) and scripting languages (Python/PHP/R).
- Background in SQL.
- Experience with BigData architectures and technologies (more than 1TB of data) and BI solutions.
- Experience with distributed computing frameworks (e.g. Hadoop, Spark, Flink, Storm, Samza, Beam, Google Big Query, etc.).
- Experience with distributed data stores (HBase, Cassandra, Riak, Google Bigtable, Amazon Dynamo DB, etc.) and/or distributed message brokers (Kafka, RabbitMQ, ActiveMQ, Google Pub/Sub, Amazon Kinesis, etc.).
- English B2/C1
Nice to have
- Experience in technical support: familiarity with case prioritization, SLA compliance, and quality.
- Experience with the popular technologies in the machine learning/big data ecosystem.
- Experience with any ML library (scikitlearn, pytorch, tensorflow, Spark mllib) or basic understanding of ML concepts.
- Experience with PaaS and IaaS technologies.
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