Senior Data DevOps

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We are seeking a highly skilled remote Senior Data DevOps Engineer to join our team, working on a cutting-edge project that involves the development and deployment of large-scale data processing pipelines.

In this position, you will play a critical role in designing, implementing, and maintaining the infrastructure that enables data processing, storage, and analysis. You will work with a team of experienced professionals, tackling complex challenges and driving innovation in the field of data engineering. If you are passionate about DevOps and have a solid understanding of data processing technologies, we invite you to apply for this exciting opportunity.

• Design, implement, and maintain data processing pipelines using technologies
• Develop and maintain CI/CD pipelines for data processing applications, ensuring efficient and reliable deployment
• Implement and manage containerization technologies to enable scalable and flexible infrastructure
• Collaborate with data scientists and analysts to design and implement data storage and retrieval solutions
• Ensure the security and availability of data processing infrastructure, implementing best practices for data protection and disaster recovery
• Monitor and troubleshoot data processing pipelines and infrastructure, identifying and resolving issues in a timely manner
• Continuously improve data processing infrastructure, staying up-to-date with the latest technologies and industry trends

• A minimum of 3 years of experience in DevOps, with a focus on data engineering and infrastructure management
• Expertise in CI/CD processes and tools, including Git, Jenkins, and TeamCity
• Hands-on experience with containerization technologies such as Docker and Kubernetes, as well as container orchestration tools like Amazon ECS or Kubernetes
• In-depth knowledge of Amazon Web Services (AWS), including EC2, S3, and Lambda
• Strong proficiency in Linux system administration and shell scripting
• Experience with infrastructure as code tools such as Terraform, Ansible, or CloudFormation
• Familiarity with the Elastic Stack (Elasticsearch, Logstash, and Kibana) for log management and analysis
• Excellent communication and collaboration skills, with the ability to work effectively in a team environment
• Fluent spoken and written English at an Upper-Intermediate level or higher (B2+)

• Experience with other cloud providers such as Google Cloud Platform or Microsoft Azure
• Experience with Big Data technologies such as Hadoop, Hive, and Pig
• Familiarity with configuration management tools such as Chef or Puppet
• Knowledge of scripting languages such as Python or Ruby

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn

• Mid-Senior level

• Full-time

• Engineering, Information Technology, and Business Development

• Software Development, IT Services and IT Consulting, and Retail

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