Senior Data DevOps Engineer with Azure

EPAM Systems, Inc.; Turkey; On-site; TRY 4,420,000 - 6,385,000; Full time

Benefits offered by this job

Continuous upskilling

Mentoring programs

Learning platforms access

Referral bonuses

Private health insurance

Job summary

EPAM Systems, Inc. seeks a Senior Data DevOps Engineer with Azure to deploy and support a production-ready Databricks Data Platform. You will work with Data Engineering, ML, Platform, and QA teams to build and evolve CI/CD pipelines, manage configuration, and document platform operations.

Required 3+ years in Build/DevOps/Platform roles, hands-on Databricks, Azure Data Factory, Azure DevOps, and broad Microsoft Azure experience. English at B2 level or higher is expected.

Qualifications

• 3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role.

Responsibilities

• Deploy and configure the Data Platform in Databricks, ensuring environments are production-ready, secure, and scalable.

Skills

Databricks

Azure Data Factory

Azure DevOps

Microsoft Azure

MLOps

DataOps

CI/CD pipelines

Cross-functional collaboration

English proficiency

Tools

Databricks

Azure Data Factory

Azure DevOps

Microsoft Azure

Job description

We are looking for a Senior Data DevOps Engineer with Azure to deploy, configure, and support a production-ready Databricks Data Platform. You will work closely with Data Engineering, ML, Platform, and QA teams to build and evolve CI/CD pipelines, troubleshoot deployment and workflow issues, maintain configuration management practices, and produce clear technical documentation across the platform.ResponsibilitiesDeploy and configure the Data Platform in Databricks based on the approved architecture and solution designs, ensuring environments are production-ready, secure, and scalableWork closely with cross-functional teams (Data Engineering, ML, Platform, QA) to design, implement, and evolve CI/CD pipelines and supporting tooling for data workflows and servicesDiagnose and resolve issues in build/deploy pipelines, data workflows, and production workloads; participate in root cause analysis and implement preventive fixesDevelop, standardize, and maintain configuration management practices (infrastructure configuration, environment parameters, secrets, cluster policies) to ensure consistency across environmentsProduce and maintain clear technical documentation covering deployment guides, operational runbooks, pipeline logic, and platform configurationRequirements3+ years of experience in a Build Engineer, DevOps Engineer, Platform Engineer, or similar role supporting delivery and operationsStrong hands-on experience with Databricks, Azure Data Factory, Azure DevOps, and Microsoft Azure in general — including DataOps practices such as automated data pipeline deployment, environment promotion, and governanceExperience with MLOps (model deployment, monitoring, lifecycle automation for ML workloads) is considered an advantageStrong communication and collaboration skills, with the ability to work effectively across engineering, data, and operations teamsEnglish at B2 level or higher, able to participate in technical discussions and produce documentation in EnglishWe 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.