AI-First .NET Cloud Engineer (Remote—Canada)

Embedded Shishya

United States

Remote

USD 86,000 - 122,000

Full time

12 days ago

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Benefits offered by this job

Competitive pay

Annual bonuses

Health benefits

Flexible work options

Generous PTO and wellness programs

Job summary

Quest Software is seeking an experienced AI Software Engineer to lead AI-first software development practices for a cloud-native SaaS product hosted on Azure. The role combines strong C#/.NET, Azure cloud architecture, and backend engineering with hands‑on AI coding agents usage in product software development.

The candidate will influence design, testing, and delivery while advancing AI-assisted development workflows.

Qualifications

Completion of a computer science undergraduate degree or equivalent.
Five or more years of professional software development experience, including strong hands‑on C# and .NET experience.
Demonstrated professional experience using AI coding agents, AI‑assisted development tools, or agentic development workflows as a substantial part of real software development work.
Advanced practical experience with GitHub Copilot, Claude Code, Windsurf, or comparable AI‑powered development platforms.
Demonstrated ability to apply AI coding tools to improve software design, implementation productivity, code quality, automated testing, debugging, troubleshooting, refactoring, code review, or technical documentation.
Experience in working with Microsoft Azure technologies, including Azure Functions, Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event Hubs.

Responsibilities

Contribute to the adoption of AI‑first software development practices across the project team.
Use AI coding agents and AI‑assisted development platforms extensively in day‑to‑day product engineering, including solution design, implementation, automated testing, debugging, troubleshooting, refactoring, code reviews, and technical documentation.
Design reusable prompts, agent instructions, development workflows, validation steps, and guardrails that enable consistent and responsible AI‑assisted software development.
Design, build, test, and maintain scalable, serverless, cloud‑native SaaS capabilities using C#/.NET and Microsoft Azure technologies, including Azure Functions, Microsoft Graph API, Azure Data Explorer, Cosmos DB, AKS (Azure Kubernetes Service) and ACA (Azure Container Apps) and Event Hubs.
Build commercial products that work across numerous Microsoft technologies including Entra ID, Microsoft 365, Active Directory, Exchange, SharePoint, etc.
Contribute to architecture, technical decision‑making, code reviews, CI/CD, release readiness, and ownership of critical product components in an Agile SCRUM environment.