Data DevOps Lead

EPAM Systems; Turkey; On-site; TRY 4,442,000 - 6,417,000; Full time

Benefits offered by this job

Private health insurance

English courses

Mentoring programs

Learning & development

Competitive USD compensation

Job summary

EPAM Systems seeks a Data DevOps Lead to own the data platform architecture, define standards, and lead a small team of engineers across data engineering, DevOps, and DS/ML functions.

You will build CI/CD for data pipelines, implement IaC, and ensure reliability, security, and cost optimization. Collaboration with data engineers, analysts, DS/ML teams, product, and security is key.

Qualifications

• 5+ years in DevOps/Data Engineering or related leadership roles.
• Hands-on experience with AI/ML infrastructure and production workloads (MLOps).
• Strong command of at least one cloud platform (AWS/GCP/Azure) and data services.

Responsibilities

• Own data platform architecture, design, and scaling of data pipelines infrastructure.
• Build and maintain CI/CD for data pipelines, infrastructure, and ML models.
• Implement IaC, versioning, automated testing, and data monitoring.

Skills

5+ years experience

AI/ML infra

Cloud platform

Python/Scala

SQL/bash

Tools

Docker

Kubernetes

Terraform

Airflow/Dagster

Job description

Data DevOps Lead

The Data DevOps Lead owns the infrastructure and delivery processes for data: building and evolving the data platform, establishing CI/CD and DataOps practices, leading a small team of engineers, and setting technical standards. This role sits at the intersection of data engineering, DevOps, and team leadership.

Responsibilities

• Own the data platform architecture: design, evolve, and scale the 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 reliability, security, and cost-efficiency of the infrastructure (SLAs, observability, cost optimization)
• Partner with stakeholders: data engineers, analysts, DS/ML teams, product, and security

Requirements

• 5+ years in DevOps / 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 / Azure) and its data services
• Docker, Kubernetes, Terraform (or equivalent IaC)
• Pipeline orchestration (Airflow, Dagster, Prefect, or equivalent)
• Experience with big data and streaming: Spark, Kafka, data lake / DWH (Snowflake, BigQuery, Redshift, etc.)
• Languages: Python and/or Scala, strong SQL, bash
• Monitoring and observability setup (Prometheus, Grafana, ELK, etc.)
• Experience with LLM/GenAI infrastructure and serving
• Data governance, security, and data compliance
• Cloud cost optimization (FinOps)

We offer

• CONTINUOUS UPSKILLING, LEARNING & DEVELOPMENT
  • Diversity of tasks and projects
  • Assessment center for objective review of competency level
  • Personal development plan
  • Mentoring programs and leadership development
  • Certification and professional development support
  • Access to learning platforms including more than 2,500 internal courses
  • English courses taught by certified teachers
• CORPORATE BENEFITS
  • Extra leave days
  • Referral bonuses
• COMPENSATION PACKAGE
  • Competitive compensation paid in USD
  • Regular salary and performance reviews
• MEDICAL & HEALTHCARE
  • Private health insurance
  • Well-being events
• WORKING ENVIRONMENT
  • Recreation areas and kitchens
  • Tea, coffee and snacks
  • Sports equipment and game consoles
  • IT Equipment
  • Microsoft’s Software Assurance Home Use Program (HUP)

Please note that our Talent Attraction Team reviews applications and CVs submitted in English.

EPAM is global leader in AI transformation engineering and integrated consulting, serving Forbes Global 2000 companies and ambitious startups. With over thirty years of expertise in custom software, product and platform engineering, we empower our clients to become AI-Native enterprises, driving measurable value from innovation and digital investments.