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

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Requirements

Role Overview

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

Location: Remote / Hyderabad
Experience: 6+ Years

Availability: Immediate Joiner

We are seeking an experienced Python Developer with strong expertise in Databricks automation, MLOps/LLMOps workflows, and AWS integrations. The candidate will support the Next‑Gen Platform Integration team by building automation frameworks, enhancing workspace onboarding processes, and enabling scalable deployment workflows across Databricks environments.

This role requires hands‑on experience with Python, AWS services, and deep familiarity with Databricks components.

Key Responsibilities

Databricks Automation & Integration

• 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.

Platform Engineering & Deployment

• Develop Python‑based automation scripts for Databricks services including:
• Unity Catalog
• MLflow
• Mozaic AI
• Model Serving
• Databricks Apps
• Ensure consistency, reliability, and scalability across multi‑workspace environments.

AWS Integration & Automation

• Build and maintain integrations using AWS services such as:
• Lambda
• API Gateway
• Develop automation workflows that bridge AWS and Databricks for deployment, monitoring, and orchestration.

Required Skills

Technical Skills

• Strong hands‑on experience with Python for automation, scripting, and platform integration.
• Solid understanding of AWS services (Lambda, API Gateway).
• Deep knowledge of Databricks ecosystem, including:
• Unity Catalog
• MLflow
• Mozaic AI
• Model Serving
• Databricks Apps
• Experience supporting MLOps/LLMOps pipelines and application deployment workflows.

Additional Skills

• Strong analytical and debugging skills.
• Ability to work independently in a remote environment.
• Experience collaborating with platform, data engineering, and ML teams.

Ideal Candidate Profile

• 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.