Senior Data DevOps (Machine Learning)

1 week ago Be among the first 25 applicants 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. Responsibilities 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 Requirements 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) Nice to have 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 We offer 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 Seniority level Mid-Senior level Employment type Full-time Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Retail Referrals may increase your chances of interviewing at EPAM Systems. Get notified about new Senior Data Specialist jobs in Brazil. Data Migration Manager (Implementation Specialist), Enterprise and Strategic We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. J-18808-Ljbffr

Location: Brazil, BR

Posted Date: 9/11/2025