Databricks Automation & AI Platform Engineer
Role details
Job location
Tech stack
Job description
Databricks Automation & Integration
- Build automation workflows for MLOps, LLMOps, and application deployment within Databricks.
- Enhance workspace onboarding automation including Unity Catalog, permissions, and environment setup.
- Develop reusable modules for workspace provisioning, catalog configuration, model deployment, and governance workflows.
- Integrate Mosaic AI components (Gateway, Model Serving, Agents) into platform automation.
Platform Engineering & Deployment
- Develop Python automation scripts for Databricks services including:
- Unity Catalog
- MLflow
- Mosaic AI
- Model Serving
- Databricks Apps
- Ensure consistency, reliability, and scalability across multi-workspace environments.
- Implement automated rollback strategies, fail-fast mechanisms, and environment stability checks.
AWS Integration & Automation
- Build integrations using AWS Lambda, API Gateway, and Service Principal authentication.
- Automate Databricks Job orchestration, monitoring, and deployment pipelines.
- Implement secure, scalable automation bridging AWS and Databricks.
Requirements
Do you have experience in Unity?, We are seeking a senior Databricks Automation & AI Platform Engineer with deep expertise in Python, Databricks platform components, and AI/MLOps/LLMOps workflows. The engineer will support the Next-Gen Platform Integration team by building automation frameworks, enabling scalable deployment workflows, and integrating AI capabilities across Databricks environments.
This role requires strong systems-level Python knowledge, Databricks governance experience, and hands-on AWS automation skills., Technical Skills
- Strong hands-on Python experience including:
- GIL behavior
- Multiprocessing vs multithreading
- Memory overhead trade-offs
- Data structure time complexities
- Deep understanding of Databricks ecosystem:
- Unity Catalog governance
- Delta architecture (Bronze/Silver/Gold)
- MLflow tracking & model lifecycle
- Mosaic AI Gateway & LLMOps workflows
- Model Serving & Databricks Apps
- Experience with Docker image immutability, container state management, and environment reproducibility.
Cloud & Automation Skills
- AWS Lambda, API Gateway, IAM, and automation pipelines.
- Service Principal-based authentication for secure Databricks automation.
- Experience with platform engineering, deployment automation, and production stability patterns., * 6+ years of Python development and cloud automation experience.
- Hands-on Databricks platform engineering and governance expertise.
- Strong understanding of MLOps/LLMOps and AI deployment workflows.
- Experience working with platform, ML, and data engineering teams.
- Immediate availability preferred.