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.#[redacted] Responsibilities 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 Requirements Proven production experience in back-end development using Python and .NET (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 Nice to have 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