Senior Data DevOps Engineer: AI/ML Infra & CI/CD Lead

EPAM Systems, Inc.; Turkey; On-site; TRY 3,931,000 - 5,897,000; Full time

Benefits offered by this job

Private health insurance

Extra leave days

Continuous upskilling

Referral bonuses

Job summary

EPAM Systems, Inc. seeks a Senior Data DevOps Engineer to design and maintain data infrastructure, automate delivery, and improve pipeline reliability. You will work autonomously on complex problems, mentor peers, and advance AI/ML workloads across cloud environments.

You will build data pipelines, strengthen CI/CD for data processes, automate deployments with Terraform, and monitor pipelines with proactive alerts. Strong Python/SQL skills and a detail-oriented mindset are essential.

Qualifications

• 3+ years of experience in DevOps or Data Engineering.
• Experience supporting AI/ML workloads and ML infrastructure (MLOps).
• Hands-on cloud platform experience (AWS, GCP, or Azure).
• Proficiency with Docker, Kubernetes, and Terraform (IaC).
• Experience with pipeline orchestration tools (Airflow/Dagster/Prefect).
• Familiarity with data lake/DWH concepts and big data processing (Spark, Kafka).
• Strong Python, SQL, and Bash skills.
• CI/CD setup with GitLab CI/GitHub Actions, or Jenkins.

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.
• Mentor junior/middle engineers and participate in code reviews.
• Collaborate with data engineers and analysts to optimize data workflows.

Skills

DevOps

Data pipelines

Python

SQL

Bash

CI/CD

Docker

Kubernetes

Terraform

Airflow

Tools

Airflow

Dagster

Prefect

GCP

AWS

Azure

Job description

EPAM Systems, Inc. seeks a Senior Data DevOps Engineer to design and maintain data infrastructure, automate delivery, and improve pipeline reliability. You will work autonomously on complex problems, mentor peers, and advance AI/ML workloads across cloud environments.

You will build data pipelines, strengthen CI/CD for data processes, automate deployments with Terraform, and monitor pipelines with proactive alerts. Strong Python/SQL skills and a detail-oriented mindset are essential.