Senior Data DevOps Engineer

EPAM Systems is a global leader in AI transformation engineering and integrated consulting. The company is seeking a Senior Data DevOps Engineer to design and maintain data infrastructure, automate delivery processes, improve pipeline reliability, and mentor less experienced engineers as an individual contributor.

Responsibilities:

• Develop and maintain infrastructure for data pipelines
• Build and improve CI/CD for data processes and infrastructure
• Automate deployments through Infrastructure as Code
• Set up pipeline orchestration, monitoring, and alerting
• Diagnose and resolve incidents, improving stability and performance
• Participate in code review and mentor junior/middle engineers
• Collaborate with data engineers and analysts to optimize data workflows

Requirements:

• 3+ years of experience in DevOps or Data Engineering
• Background in supporting AI/ML workloads and building or maintaining ML infrastructure (MLOps)
• Hands-on experience with one cloud platform (AWS, GCP, or Azure)
• Proficiency in Docker, Kubernetes, and Terraform (or equivalent IaC)
• Expertise in pipeline orchestration tools such as Airflow, Dagster, or Prefect
• Familiarity with data lake/DWH concepts and big data processing (Spark, Kafka, or equivalent)
• Strong programming skills in Python, SQL, and Bash
• Competency in CI/CD setup with GitLab CI, GitHub Actions, or Jenkins
• Autonomy and ownership of outcomes
• Willingness to share knowledge and mentor
• Attention to detail, reliability, and quality
• English proficiency at an Upper-Intermediate level (B2) or higher
• Knowledge of monitoring and observability tools (Prometheus, Grafana, ELK)
• Exposure to LLM/GenAI tooling
• Understanding of data security and data quality practices