Jobs at Sana Commerce

The Senior Site Reliability Engineer will enhance platform reliability, manage Azure Kubernetes environments, automate infrastructure, and lead reliability initiatives.

Design and scale ML/AI-focused data pipelines, feature pipelines, and feature stores. Ensure data quality, lineage, governance, and readiness for analytics and machine learning. Collaborate with data scientists and ML engineers on training and production workflows, while supporting MLOps model lifecycle processes. Use Azure, Databricks, Spark, and orchestration tools to process large-scale structured, semi-structured, and unstructured data.

Design, build, and optimize Azure and Databricks data infrastructure, including scalable ETL/ELT pipelines, real-time and batch processing, ingestion frameworks, data models, APIs, and integrations. Support analytics, personalization, recommendation engines, search, and AI-driven customer applications. Collaborate with architects, analysts, engineers, and product teams while monitoring pipeline performance, availability, scalability, and cloud costs.

Design, build, and scale ML-ready data systems and pipelines, including feature pipelines, feature stores, data quality, lineage, governance, and MLOps integrations. Collaborate with data scientists and ML engineers on training and production workflows. Use Azure, Databricks, Spark, and orchestration frameworks to process large-scale structured, semi-structured, and unstructured data for analytics and AI applications.

Design, build, and optimize Azure/Databricks-based data infrastructure and scalable ETL/ELT pipelines. Implement real-time and batch data processing, optimize storage, cost, and performance, and support ML/AI-driven recommenders, search, and personalization. Collaborate with architects, analysts, and product teams to deliver robust data models, APIs, and integrations for analytics and customer applications.