Python Developer; Databricks Automations Gen Platform Integration

Python Developer (Databricks Automations | Next‑Gen Platform Integration)

At Xenon7, we work with leading enterprises and innovative startups on exciting, cutting‑edge projects that leverage the latest technologies across various domains of IT including Data, Web, Infrastructure, AI, and many others. Our expertise in IT solutions development and on‑demand resources allows us to partner with clients on transformative initiatives, driving innovation and business growth.

We are building an exclusive group of exceptional AI & ML Professionals ready to solve real‑world problems and shape the future of intelligent systems.

Location: Remote / Hyderabad

Experience: 6+ Years

Availability: Immediate Joiner

Role Overview: You will support the Next‑Gen Platform Integration team by building automation frameworks, enhancing workspace onboarding processes, and enabling scalable deployment workflows across Databricks environments.

• Implement automation workflows to support MLOps, LLMOps, and application deployment scenarios within Databricks.
• Enhance and maintain integrations for Databricks workspace setup during new project onboarding.
• Build reusable automation modules for workspace provisioning, catalog setup, model deployment, and environment configuration.
• Develop Python‑based automation scripts for Databricks services including Unity Catalog, MLflow, Mozaic AI, Model Serving, and Databricks Apps.
• Ensure consistency, reliability, and scalability across multi‑workspace environments.
• Build and maintain integrations using AWS services such as Lambda and API Gateway.
• Develop automation workflows that bridge AWS and Databricks for deployment, monitoring, and orchestration.

• Strong hands‑on experience with Python for automation, scripting, and platform integration.
• Solid understanding of AWS services (Lambda, API Gateway).
• Deep knowledge of the Databricks ecosystem, including Unity Catalog, MLflow, Mozaic AI, Model Serving, and Databricks Apps.
• Experience supporting MLOps/LLMOps pipelines and application deployment workflows.
• Strong analytical and debugging skills.
• Ability to work independently in a remote environment.
• Experience collaborating with platform, data engineering, and ML teams.

• 6+ years of experience in Python development and cloud automation.
• Hands‑on expertise with Databricks and AWS integrations.
• Strong understanding of MLOps/LLMOps workflows.
• Immediate availability.

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