Senior Data DevOps Engineer
✨ AI Summary
EPAM Systems is hiring a Senior Data DevOps Engineer in Turkiye to design data infrastructure and automate delivery processes. The role requires 3+ years of experience in DevOps or Data Engineering with MLOps background, focusing on AWS/GCP/Azure, Docker, Kubernetes, Terraform, and orchestration tools like Airflow. Compensation is paid in USD, and benefits include private health insurance, continuous upskilling support, and extra leave days.
We are seeking a Senior Data DevOps Engineer to join our team as a strong individual contributor who designs and maintains data infrastructure, automates delivery processes, and improves pipeline reliability. This role focuses on working autonomously on complex problems and mentoring less experienced colleagues, without team management responsibilities.
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
- Participate in code review and mentor junior/middle engineers
- Collaborate with data engineers and analysts to optimize data workflows
Requirements
- 3+ years of experience in DevOps or Data Engineering
- Background in 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 (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 (Prometheus, Grafana, ELK)
- Exposure to LLM/GenAI tooling
- Understanding of data security and data quality practices
Benefits
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)
About the Company
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