We are looking for a **Senior DevOps Data Engineer** to take a leading role in developing, scaling, and optimizing cloud\-native analytics and data infrastructure. This position demands mastery in AWS, EKS, Terraform, and Python, with cross\-functional expertise in DevOps, SRE, Data Engineering, and Cloud Architecture. EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi\-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting\-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. **Responsibilities** * Design Terraform\-based Infrastructure as Code (IaC) to enable scalable and automated environments * Manage and optimize EKS\-based platforms, including services like Starburst/Trino, Airflow, and JupyterHub * Build robust CI/CD pipelines to standardize deployments and improve observability workflows * Implement monitoring systems using tools like Datadog and Splunk while integrating OpenTelemetry standards * Collaborate on developing Python\-based internal tools to enhance operational efficiency for data workflows and developers * Operate containerized solutions using Kubernetes, HELM, and Docker for secure, scalable orchestration within AWS EKS * Drive migration initiatives to Starburst/Trino to improve analytics platform performance and reliability **Requirements** * 3\+ years of experience in DevOps or Site Reliability Engineering * Advanced knowledge of the AWS ecosystem, including EKS, EC2, IAM, ELB, and S3 * Proficiency in Terraform and Ansible for infrastructure automation, alongside CI/CD pipeline management * Expertise in Kubernetes, HELM, and Docker for container orchestration and deployment * Strong programming skills in Python for tooling and scripting, alongside Bash for automation tasks * Experience with monitoring tools such as Datadog and Splunk, including integration into cloud environments * Strong written and verbal English communication skills (B2\+) **Nice to have** * Knowledge of Vault, Packer, Databricks, ShinyProxy, and Tableau Dashboards * Familiarity with observability standards like OpenTelemetry and OpenLineage integrations **Technologies** * Orchestration Technologies: Kubernetes, Helm, Docker * Cloud \& Infrastructure as Code (IaC): AWS, EKS, Terraform, Ansible, Vault, Packer * Observability Tools: Datadog, Splunk * Data \& Analytics Tools: Trino, Starburst, JupyterHub, Apache Airflow, Spark, Databricks, Tableau * Programming Languages: Python, Bash **We offer** * Connectivity Bonus (15,000 ARS are paid with a salary receipt at the end of each month as a non\-wages concept). * Medicina Prepaga (It covers the collaborator and direct family group). * Paternity Leave (Two additional days are added to what is established by law, total of 4 days). * Discounts card. * English Training (English lessons, twice per week). * Training Program (Access to multiple customized training plans according to the needs of each role within the company). * Marriage bonus (The company doubles the allowance established by law that ANSES offers). * Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company). * External Agreements and Discounts. * Vacations: 14 calendar days a year *By applying to our role, you are agreeing that your personal data may be used as in set out in EPAM´s Privacy Notice and Policy.*