Job Description
Job Description
This role focuses on site reliability engineering for cloud-hosted data science toolsets, ensuring that platforms are reliable, scalable, secure, interoperable, and cost‑optimized. It will focus on building Cloud-Native/Self-Service implementations so we can offer seamless access and transparency to disparate data assets across the organization. The engineer will take point in designing, deploying, and operating cloud-native data science platforms, while partnering closely with data scientists, ML engineers, analytics teams, and downstream business systems.
This position emphasizes operational excellence, automation, resiliency, and interoperability across platforms such as Databricks, Azure Machine Learning, Microsoft Purview, Unity Catalog, Azure Function Apps, and visualization tools
You will be a critical member of a collaborative and forward-thinking team that values engineering discipline, proactive problem-solving, and continuous improvement. You will wo...
This role focuses on site reliability engineering for cloud-hosted data science toolsets, ensuring that platforms are reliable, scalable, secure, interoperable, and cost‑optimized. It will focus on building Cloud-Native/Self-Service implementations so we can offer seamless access and transparency to disparate data assets across the organization. The engineer will take point in designing, deploying, and operating cloud-native data science platforms, while partnering closely with data scientists, ML engineers, analytics teams, and downstream business systems.
This position emphasizes operational excellence, automation, resiliency, and interoperability across platforms such as Databricks, Azure Machine Learning, Microsoft Purview, Unity Catalog, Azure Function Apps, and visualization tools
You will be a critical member of a collaborative and forward-thinking team that values engineering discipline, proactive problem-solving, and continuous improvement. You will wo...
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