Описание
EPAM develops enterprise software products, open source solutions, and accelerators.
Задачи
•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
Требования
•3+ Years of experience in DevOps or Data Engineering
•Experience 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, including 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
Nice to have: Knowledge of monitoring and observability tools such as Prometheus, Grafana, and ELK, exposure to LLM/GenAI tooling, understanding of data security and data quality practices.
Условия
Location-specific conditions and benefits are available.
