Senior Data DevOps Engineer

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

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.ResponsibilitiesDevelop and maintain infrastructure for data pipelinesBuild and improve CI/CD for data processes and infrastructureAutomate deployments through Infrastructure as CodeSet up pipeline orchestration, monitoring, and alertingDiagnose and resolve incidents, improving stability and performanceParticipate in code review and mentor junior/middle engineersCollaborate with data engineers and analysts to optimize data workflowsRequirements3+ years of experience in DevOps or Data EngineeringBackground 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 PrefectFamiliarity with data lake/DWH concepts and big data processing (Spark, Kafka, or equivalent)Strong programming skills in Python, SQL, and BashCompetency in CI/CD setup with GitLab CI, GitHub Actions, or JenkinsAutonomy and ownership of outcomesWillingness to share knowledge and mentorAttention to detail, reliability, and qualityEnglish proficiency at an Upper-Intermediate level (B2) or higherNice to haveKnowledge of monitoring and observability tools (Prometheus, Grafana, ELK)Exposure to LLM/GenAI toolingUnderstanding of data security and data quality practicesWe offerCONTINUOUS UPSKILLING, LEARNING & DEVELOPMENTDiversity of tasks and projectsAssessment center for objective review of competency levelPersonal development planMentoring programs and leadership developmentCertification and professional development supportAccess to learning platforms including more than 2,500 internal coursesEnglish courses taught by certified teachersCORPORATE BENEFITSExtra leave daysReferral bonusesCOMPENSATION PACKAGECompetitive compensation paid in USDRegular salary and performance reviewsMEDICAL & HEALTHCAREPrivate health insuranceWell-being eventsWORKING ENVIRONMENTRecreation areas and kitchensTea, coffee and snacksSports equipment and game consolesIT EquipmentMicrosoft’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.