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 Responsibilities2. Python-Driven Alerting & Monitoring
- 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
- 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
