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Senior Big Data DevOps Engineer Lviv, Ukraine

Senior Big Data DevOps Engineer Description

Job #: 51507
Striving for excellence is in our DNA. Since 1993, we have been helping the world’s leading companies imagine, design, engineer, and deliver software and digital experiences that change the world. We are more than just specialists, we are experts.

DESCRIPTION


EPAM is committed to providing our global team of 36,700+ EPAMers 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. In today’s new market conditions, we continue to support operations for hundreds of clients around the world remotely, with the vast majority of our teams working from home. No matter where you are located, you’ll join a dedicated, diverse community that will help you discover your fullest potential.

Responsibilities

  • Design, build and maintain highly available production systems
  • Integrate solutions with other applications and platforms outside the framework
  • Provide consulting services to application teams looking to build Cloud-based applications
  • Design and implement build, deployment, and configuration management systems
  • Analyze, organize, and provide in-depth code reviews to improve applications dynamically and ensure the timely completion of projects
  • Perform script updates due to changes in requirements or implementations
  • Design, implement and improve monitoring and alerting system
  • Troubleshoot production issues and coordinate with the development team to streamline code deployment
  • Optimize system performance, availability and scalability
  • Assist in production support
  • Collaborate with team members to improve developed tools, systems and procedures, and data security
  • Brainstorm for new ideas and ways to improve development delivery
  • Create Procedures and Policies
  • Write the project documentation and conduct knowledge transfers

Requirements

  • Bachelor’s degree in Computer Science or a related technical field, or equivalent work experience
  • 4 years of professional experience
  • 2 years hands-on experience with a variety of Amazon AWS services
  • Intermediate skill in one cloud platform: GCP, Azure
  • Solid Linux/Unix systems administration background
  • Advanced skill in configuring, managing and maintaining networks
  • Advanced skill in infrastructure troubleshooting, performance tuning, optimization and bottleneck problem analysis
  • 2 years of hands-on experience with Python
  • 2 years of hands-on experience in one scripting language: Bash, Perl, Groovy
  • Advanced skill in Hadoop HDFS and YARN
  • Advanced skill in one of Hadoop distributions(Cloudera, Hortonworks)
  • Advanced skill in Hadoop managing tools (Ambari, Cloudera Manager)
  • Advanced skill in HUE, Hive, Spark
  • Intermediate skill in Hadoop Security
  • Advanced skill in Kafka
  • Intermediate skill in ElasticSearch
  • Advanced skill in Kubernetes, Docker
  • Solid experience in managing production infrastructure with Terraform, AWS CloudFormation, etc
  • Advanced skill in one configuration management tool: Chef, Puppet, Ansible or similar
  • Advanced skill in one build automation tool: Jenkins, TeamCity, Bamboo, GoCD, etc
  • Good knowledge of Monitoring Best Practices
  • Advanced skill in one monitoring tool and dashboard: Zabbix, Nagios, DataDog, Prometheus, Grafana, etc
  • Good knowledge of Security Best Practices
  • Advanced skill in one Authentication and Authorization protocols: LDAP, Kerberos, SAML, etc
  • Good organizational, analytical and problem solving skills
  • Ability to present and communicate the architecture in a visual form
  • English language – ability to direct communicate with customer. B2 level is required

We offer

  • Competitive compensation depending on experience and skills
  • Individual career path
  • Unlimited access to LinkedIn learning solutions
  • Social package - medical insurance, sports
  • Compensation for sick lists and regular vacations
  • English classes with native speakers (certified English teachers)
  • Flexible work hours
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