Backend Engineer

This is a fully remote position, open to applicants in Arizona.

📋 Description

• Design, develop, and scale backend services and APIs utilizing C#, .NET Core, and ASP.NET Core.

• Integrate backend solutions with legacy systems, third-party APIs, and pre-existing data models.

• Employ clean architecture, SOLID principles, dependency injection, and repository/service patterns.

• Leverage AI coding agents throughout the backend design, coding, testing, and code review processes.

• Establish and uphold agentic development workflows and CI/CD procedures.

• Create and maintain APIs and services that support agentic and LLM-powered experiences, featuring streaming responses and robust error management.

• Connect backend systems with multi-agent orchestration frameworks, agentic workflows, RAG pipelines, and real-time data requirements.

• Collaborate with frontend and AI engineering teams effectively.

• Work alongside subject matter experts to convert business challenges into technical architectures.

• Engage in the complete delivery process from scoping and prototyping to production deployment.

• Articulate technical trade-offs and the impact of solutions to technical teams and executive stakeholders.

• Document deployment learnings, best practices, and insights to enhance AI platforms and frameworks.

• Partner with engineering leads to refine deployment pipelines and knowledge-sharing practices.

• Contribute to the health of Azure DevOps CI/CD pipelines, branching strategies, environment configuration, and deployment troubleshooting.

⛳️ Requirements

• Over 5 years of professional software engineering experience.

• Strong expertise in C#, .NET Core, and ASP.NET Core.

• Practical experience with AI coding agents and agentic development tools, such as GitHub Copilot or Cursor, throughout the software development lifecycle.

• Proficiency in implementing and maintaining agentic workflows within CI/CD pipelines.

• Experience in designing, building, and integrating REST APIs, including authentication/authorization, error handling, versioning, and JSON communication.

• Solid SQL Server experience, encompassing query optimization, stored procedures, Entity Framework/Core, and data modeling.

• Familiarity with Azure, including Azure App Services, Functions, Service Bus, Key Vault, Storage, Application Insights, Azure SQL, and Azure DevOps CI/CD pipelines.

• Background in large, enterprise-scale applications and integrations across various business domains, including legacy systems and outdated APIs.

• Understanding of microservices and distributed systems, including messaging/event-driven patterns, asynchronous processing, retries, and resiliency.

• Knowledge of SOLID principles, dependency injection, repository/service patterns, clean architecture, and contemporary design patterns.

• Experience with automated unit testing, integration testing, and mocking.

• A zero trust security mindset, focusing on secure API development, secrets management, authentication/authorization, and awareness of OWASP vulnerabilities.

• Capability to diagnose production issues using logging, monitoring, and telemetry tools like Application Insights.

• Commitment to strong code quality practices, including code reviews, pull requests, refactoring, managing technical debt, and adhering to coding standards.

• Ability to navigate and work within extensive, complex enterprise codebases while modernizing legacy systems.

• A degree in Computer Science, Software Engineering, Informatics, Data Science, or a related technical field, or equivalent practical experience.

• Preferred: Experience with backend testing frameworks such as xUnit, NUnit, or MSTest, and mocking libraries like Moq.

• Preferred: Familiarity with AI agent tools for automated code review, test generation, or refactoring.

• Preferred: Experience with event-driven/messaging platforms such as Azure Service Bus, Kafka, or RabbitMQ.

• Preferred: Active contributions to AI platforms, open-source repositories, or internal frameworks.

• Preferred: Experience in modernizing existing backend systems.

• Preferred: Active professional certifications in backend frameworks, cloud platforms, or AI-assisted development.

• Preferred: An advanced degree in a related technical discipline.

🏝️ Benefits

• Employee learning programs providing access to industry-specific learning and certification opportunities from Microsoft, Google, Amazon, Skillsoft, and more.

• A company-wide platform for volunteering and charitable giving.

• Support for workplace inclusion through various networks.

• Well-being benefits catering to employees and their families.

• Fully remote work arrangement.