Senior Data DevOps

EPAM Systems, Inc.; México; A distancia; MXN 900.000 - 1.500.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Healthcare benefits

Paid time off

LinkedIn Learning access

Global career opportunities

Volunteer opportunities

Descripción de la vacante

EPAM Systems, Inc. is seeking a Senior Data DevOps professional to implement and support key data platform aspects, including infrastructure changes, monitoring, automation, self-healing, anomaly detection and access management.

You will work with Architecture and SRE teams to ensure platform design and operations align with standards, across multi-subscription environments and international projects.

Formación

• 5+ years of hands-on DevOps experience with data platforms and Azure.
• Strong Terraform and Azure DevOps pipelines across multiple subscriptions.
• Experience with Azure data solutions (Data Lake Storage, Databricks, Synapse).
• Familiarity with Synapse Analytics for performance, monitoring and troubleshooting.
• Excellent communication with multiple stakeholders; English at B2 level or higher.

Responsabilidades

• Implement and support infrastructure changes across the data platform.
• Establish monitoring and end-to-end tracking mechanisms.
• Develop automation and self-healing solutions to streamline operations.
• Conduct anomaly detection, event correlation, and performance analysis.
• Manage access permissions across environments; partner with Architecture teams.
• Collaborate with SRE to support platform reliability and deployment.
• Communicate requirements to stakeholders and align on priorities.
• Troubleshoot data workloads performance and issues.

Conocimientos

Terraform

Azure DevOps

Data platform design

Monitoring

Stakeholder communication

SRE collaboration

Problem solving

Herramientas

Azure Data Lake Storage

Databricks

Synapse Analytics

Azure Data Factory

Descripción del empleo

We are seeking a Senior Data DevOps professional to implement and support key aspects of our data platform, including infrastructure changes, monitoring, end-to-end tracking, automation and self-healing, anomaly detection, event correlation and analysis, performance analysis, and access permissions management.ResponsibilitiesImplement and support infrastructure changes across the data platformEstablish monitoring and end-to-end tracking mechanismsDevelop automation and self-healing solutions to streamline platform operationsPerform anomaly detection, event correlation, and analysisConduct performance analysis on data workloadsManage access permissions across environmentsCollaborate with Architecture teams to ensure platform design aligns with support model standardsWork with the SRE team to support the platformOptimize data platform activities, support processes, and automate administrative activities, infrastructure, and application deploymentsCommunicate with multiple stakeholders to align on platform requirements and prioritiesTroubleshoot and prevent issues related to data workloads performanceRequirements5+ years of experience with hands-on work using advanced Terraform and Azure DevOps pipelines across multiple subscriptions and environmentsKnowledge of Azure data solutions such as Data Lake Storage, Databricks, and ADFFamiliarity with Synapse Analytics for data workloads performance improvements, monitoring, and issues troubleshootingSkills in communicating effectively with multiple stakeholdersExpertise in solutioning and collaborating with Architecture teams on platform design standardsEnglish proficiency at B2 level or higherWe offerInternational projects with top brandsWork with global teams of highly skilled, diverse peersHealthcare benefitsEmployee financial programsPaid time off and sick leaveUpskilling, reskilling and certification coursesUnlimited access to the LinkedIn Learning library and 22,000+ coursesGlobal career opportunitiesVolunteer and community involvement opportunitiesEPAM Employee GroupsAward-winning culture recognized by Glassdoor, Newsweek and LinkedInEPAM is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity or expression, disability, protected veteran status, or any other characteristic protected by applicable law.