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Xenon Seven

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

Reposted Yesterday
Be an Early Applicant
In-Office or Remote
6 Locations
Senior level
In-Office or Remote
6 Locations
Senior level
The role involves implementing automations for MLOps and LLMOps in Databricks, enhancing integrations for setting up Databricks workspaces, requiring strong Python skills and AWS knowledge.
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About us:

Where elite tech talent meets world-class opportunities!

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. Whether it's empowering global organizations or collaborating with trailblazing startups, we are committed to delivering advanced, impactful solutions that meet today’s most complex challenges.

We are building a community of top-tier experts and we’re opening the doors to an exclusive group of exceptional AI & ML Professionals ready to solve real-world problems and shape the future of intelligent systems.


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.

Top Skills

AWS
Databricks
Python

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