# Senior Python Developer: Databricks AI Platform, Alerting & Monitoring

**Company:** [Xenon7](http://jobs.workable.com/companies/khsAik1aNHDNR3tsuc1Jr7.md)
**Location:** Remote
**Workplace:** remote
**Employment type:** Contract
**Department:** Delivery and Solutions

[Apply for this job](http://jobs.workable.com/view/a5aeb18e-ebe2-466a-8a6c-bb131de1df9d)

## Description

### **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.