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Senior Support and Operations Engineer to join Data Management team, taking ownership of DevOps and MLOps operations, ensuring smooth execution and monitoring of Corporate Data Warehouse daily flows while coordinating support activities, designing small engineering enhancements, managing CI/CD processes, and contributing to maintaining stable, high-performing environment for both Data Engineering and Machine Learning operations
Job Responsibility:
Oversee and optimize DevOps and MLOps operations for model deployment, monitoring, and automation
Execute, maintain, and improve CI/CD pipelines for Data Engineering and ML deployments
Collaborate closely with Data Engineers to strengthen deployment processes and operational efficiency
Monitor, troubleshoot, and ensure smooth execution of daily Corporate Data Warehouse workflows
Handle technical support requests efficiently, ensuring SLA compliance
Maintain high system availability and reliability through proactive monitoring
Implement minor enhancements, bug fixes, and performance optimizations
Apply version control best practices and ensure proper deployment governance
Collaborate cross-functionally to streamline deployment processes across environments
Identify opportunities for automation, observability, and improved monitoring
Stay current with emerging technologies in MLOps, DevOps, and Cloud infrastructure
Requirements:
BSc or MSc in Computer Science or related technical field
+4 years of experience in Operations or IT roles (Data Engineering, ML Engineering, Software Engineering, or similar)
Experience in system monitoring, technical support, and incident handling
Hands-on experience with Cloud platforms
Practical exposure to MLOps and DevOps frameworks (Azure DevOps/MLOps, Docker, Kubernetes, AWS DevOps/MLOps)
Experience managing CI/CD pipelines, especially in Azure is considered a plus
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