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

EPAM Systems; Turkey; Vor Ort; TRY 5.926.000 - 8.889.000; Vollzeit

Zusammenfassung

EPAM Systems is seeking a Senior Data DevOps Engineer to design and maintain data infrastructure, automate delivery processes, and improve pipeline reliability. This role focuses on autonomous problem solving and mentoring colleagues in a non-managerial capacity.

You will collaborate with data engineers and analysts to optimize data workflows, build CI/CD for data pipelines, and apply Infrastructure as Code on cloud platforms such as AWS, GCP or Azure.

Qualifikationen

• 3+ years of experience in DevOps or Data Engineering.
• Experience supporting AI/ML workloads and MLOps.
• Hands-on with one cloud platform (AWS, GCP, or Azure).
• Proficiency in Docker, Kubernetes, and Terraform.
• Experience with pipeline orchestration tools such as Airflow, Dagster, or Prefect.
• Familiarity with data lake/DWH concepts and big data processing (Spark, Kafka).
• Strong programming skills in Python, SQL, and Bash.
• CI/CD setup with GitLab CI, GitHub Actions, or Jenkins.
• Autonomy and ownership of outcomes; willingness to mentor.
• English proficiency at Upper-Intermediate level (B2) or higher.

Aufgaben

• 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

Kenntnisse

Python

SQL

Bash

Docker

Kubernetes

Terraform

Airflow

Dagster

Prefect

GitLab CI

GitHub Actions

Jenkins

English

Ausbildung

Bachelor's degree in a related field

Tools

AWS

GCP

Azure

Spark

Kafka

Jobbeschreibung

EPAM Systems is seeking a Senior Data DevOps Engineer to design and maintain data infrastructure, automate delivery processes, and improve pipeline reliability. This role focuses on autonomous problem solving and mentoring colleagues in a non-managerial capacity.

You will collaborate with data engineers and analysts to optimize data workflows, build CI/CD for data pipelines, and apply Infrastructure as Code on cloud platforms such as AWS, GCP or Azure.