We’re looking for a DevOps Engineer to join Data Platform team, supporting critical initiatives in analytics, AI, and machine learning. This role is focused on building and optimizing CI/CD pipelines, automating deployments, and improving the reliability and scalability of a modern Azure-based data ecosystem. Responsibilities Design, build, and maintain CI/CD pipelines using Azure DevOps Automate deployment and release processes across the data platform Manage and coordinate complex, multi-day releases across global teams Support and optimize Azure data services (Data Factory, Databricks, Data Lake) Administer and manage Snowflake environments (access, security, deployments) Monitor and maintain Kafka clusters (patching, restarts, troubleshooting) Contribute to MLOps initiatives, supporting ML model deployment in Azure Continuously improve system reliability, scalability, and operational efficiency Required Qualifications Strong experience with Azure cloud services Good knowledge in Snowflake Hands‑on experience with Azure DevOps (CI/CD pipelines) Solid experience with Snowflake administration and data platform deployments Experience coordinating releases in distributed/multi‑timezone environments #J-18808-Ljbffr
Devops Engineer
AVENUE CODE
ciudad de méxico, ciudad de méxico
Publicado hace 27 días
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