Описание
EPAM provides enterprise software products, open source solutions, and technology accelerators.
Задачи
•Own the data platform architecture by designing, evolving, and scaling infrastructure for data pipelines
•Build and maintain CI/CD processes for data pipelines, infrastructure, and ML models
•Implement Infrastructure as Code, versioning, automated testing, and data monitoring practices
•Define the technical roadmap and standards, and manage technical debt
•Ensure infrastructure reliability, security, and cost-efficiency through SLAs, observability, and cost optimization
•Partner with data engineers, analysts, DS/ML teams, product, and security stakeholders
Требования
•5+ Years of experience in DevOps or Data Engineering, including technical or team leadership experience
•Hands-on experience with AI/ML infrastructure and supporting AI/ML workloads in production (MLOps)
•Strong command of one cloud platform: AWS, GCP, or Azure, including its data services
•Experience with Docker, Kubernetes, and Terraform or equivalent IaC
•Experience with pipeline orchestration using Airflow, Dagster, Prefect, or equivalent
•Experience with big data and streaming technologies, including Spark, Kafka, data lakes, and DWHs such as Snowflake, BigQuery, or Redshift
•Experience with Python and/or Scala, strong SQL, and bash
•Experience setting up monitoring and observability with Prometheus, Grafana, ELK, or equivalent
•Experience with LLM/GenAI infrastructure and serving
•Knowledge of data governance, security, and data compliance
•Experience with cloud cost optimization (FinOps)
Условия
Remote work is available from Türkiye.
