Posted:13 hours ago|
Platform:
Hybrid
Full Time
Role & responsibilities We are seeking a DevOps Engineer to build real-time data pipelines and manage daily operations for monitoring and maintaining dashboards. The role involves working with batch processing, real-time reporting, and ensuring smooth operation of our microservices-based environment. Key Responsibilities: Design, develop, and maintain real-time data pipelines. Monitor and maintain operational dashboards for job progress. Implement and manage batch and real-time reporting systems. Automate the deployment and monitoring of machine learning models. Collaborate with data engineering and development teams to ensure seamless integration of services. Primary Skillsets: Experience in DevOps practices of 3 to 7 years. Proficiency in tools like Kubernetes, Docker, Jenkins, and CI/CD pipelines. Experience with Kafka or similar data streaming platforms. Expertise in Azure Cloud technologies & Azure services. Good to have: Familiarity with Machine Learning model deployment frameworks (e.g., TensorFlow Serving, MLflow, Seldon).
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