Senior Data DevOps (Machine Learning)

Remote in Colombia,

Data DevOps

Location-specific conditions & benefits*

Colombia

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

Benefits

International projects with top brands
Work with global teams of highly skilled, diverse peers
Healthcare benefits
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