Xenon Seven

Senior Python Developer – Databricks AI Platform, Alerting & Monitoring

Xenon Seven

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Location Type: Remote

Location: India

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Job Level

Senior

Tech Stack

AWSCloudDockerPythonUnity

About the role

  • Databricks Automation & AI Integration: Build Python-based workflows for MLOps, LLMOps, and application deployment within Databricks. Enhance workspace onboarding including Unity Catalog, permissions, and environment setup using reusable Python modules. Integrate Mosaic AI components (Gateway, Model Serving, Agents) into platform automation. Support Delta Lake (Bronze/Silver/Gold) architecture and MLflow model lifecycles.
  • Python-Driven Alerting & Monitoring: Implement automated health checks for AWS resources and Databricks applications. Develop and configure alerting mechanisms using AWS CloudWatch, SNS, and EventBridge. Build Python automations to validate configuration consistency across multiple AWS accounts and detect anomalies or misconfigurations. Create automated service request workflows that bridge alerting with ticketing systems (Slack, Jira, etc.).

Requirements

  • Python Mastery (6+ Years): Deep understanding of Python internals, including GIL behavior, multiprocessing vs. multithreading, and memory overhead trade-offs.
  • Databricks Ecosystem: Hands-on experience with Unity Catalog, MLflow, and Mosaic AI.
  • AWS Automation: Strong proficiency in AWS Lambda, API Gateway, CloudWatch, and EventBridge.
  • Reliability Engineering: Experience with Docker image immutability, automated rollback strategies, and production stability patterns.
  • Authentication: Experience with Service Principal-based authentication for secure Databricks/AWS bridging.
  • Ideal Candidate Profile: 6+ years of professional Python development and cloud automation experience. A dual mindset: You love building new AI capabilities but are equally obsessed with proactive monitoring and 99.9% uptime. Ability to work independently in a remote, global environment. Immediate availability is highly preferred.
Benefits
  • Ecosystem of Opportunity: Be part of a network where client engagements, thought leadership, and mentorship paths are interconnected.
  • Outcome-Focused Culture: We value smart execution, autonomy, and ownership over "hours at a desk."
  • Leading Edge: Contribute to projects that shape the direction of AI and high-scale cloud infrastructure.
Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools
PythonMLOpsLLMOpsDatabricksAWS LambdaAPI GatewayCloudWatchEventBridgeDockerReliability Engineering
Soft Skills
independent workproactive monitoringproblem-solvingattention to detailcollaboration