Job 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.
). 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.
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.
This job post has been translated by AI and may contain minor differences or errors.
