Senior Python Developer: Databricks AI Platform, Alerting & Monitoring

About Xenon7

Where elite tech talent meets world-class opportunities! At Xenon7, we partner with leading enterprises and innovative startups on transformative projects across Data, Infrastructure, and AI. We are building an exclusive community of top-tier experts ready to solve real-world problems and shape the future of intelligent systems.

Role Overview

We are seeking a Senior Python Developer who thrives at the intersection of ** AI Platform Engineering** and ** System Observability **. This is a unique "hybrid" role where you will be responsible for building automated, scalable Databricks environments for AI/ML workloads, while simultaneously engineering a robust, Python-based AWS monitoring and alerting ecosystem.

You aren't just building the engine; you are designing the high-tech dashboard and fail-safes that ensure it runs perfectly at scale.

Key Responsibilities

1. Databricks Automation & AI Integration

• Workload Automation: Build Python-based workflows for MLOps, LLMOps, and application deployment within Databricks.
• Workspace Governance: Enhance workspace onboarding including Unity Catalog, permissions, and environment setup using reusable Python modules.
• AI Deployment: Integrate Mosaic AI components (Gateway, Model Serving, Agents) into platform automation.
• Architecture: Support Delta Lake (Bronze/Silver/Gold) architecture and MLflow model lifecycles.

2. Python-Driven Alerting & Monitoring

• Observability Frameworks: Implement automated health checks for AWS resources and Databricks applications.
• Event-Driven Alerting: Develop and configure alerting mechanisms using ** AWS CloudWatch, SNS, and EventBridge.**
• Consistency & Compliance: Build Python automations to validate configuration consistency across multiple AWS accounts and detect anomalies or misconfigurations.
• Workflow Integration: Create automated service request workflows that bridge alerting with ticketing systems (Slack, Jira, etc.).

Requirements

Required Technical Expertise

• 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.