Job description

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.#1072356438 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

Requirements

Must-haves

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.
Req.#1072356438
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 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
Demonstrated ability to integrate frontend applications with enterprise identity and authentication standards

Nice-to-haves

Production-grade experience with NoSQL databases (Cosmos DB preferred)
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

Application prep

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Keywords to mirror

aiazurepython

Platform: epam
Effort: medium