Senior Python Engineer

We are looking for a solid hands-on Back-End Engineer to join our engineering team and lead application development for our next-generation operational platform.

You will be building an AI-enabled platform designed to improve production operations efficiency and reduce downtime through advanced analytics and intelligent automation. The system integrates disparate vendor data systems into a unified knowledge foundation for real-time system health monitoring incident management and long-term operational planning.

Req.#

• Take full ownership of feature delivery gather requirements anticipate edge cases produce robust system designs and implement solutions independently
• Design and develop high-quality reliable secure back-end operational services on Microsoft Azure aligning with enterprise standards
• Collaborate closely with a small team of highly skilled engineers on technical decisions thorough code reviews and shared delivery outcomes
• Participate in rapid iteration cycles with end users translating feedback into secure scalable enhancements
• Contribute to architectural decisions that shape product direction and maintain technical documentation in Azure DevOps

• Proven production experience in back-end development using Python (C#)
• Hands-on expertise with FastAPI or comparable modern Python web frameworks
• Strong architectural skills with the ability to build reliable maintainable and scalable services
• High standards for code quality rigorous testing practices and operational readiness
• Proven experience building and hosting production applications on Azure (application hosting identity integration monitoring and secure configuration)
• Understanding of policy-driven cloud governance and compliance requirements in enterprise environments
• Production-grade experience with NoSQL databases (Cosmos DB preferred)
• Demonstrated ability to integrate frontend applications with enterprise identity and authentication standards

• Energy domain or upstream operations industry experience
• Familiarity with cloud deployment frameworks such as Terraform or ARM templates
• Data lake integrations and ETL patterns
• Background job architecture for data analysis and report generation
• Experience utilizing developer tools like GitHub Copilot to accelerate delivery