Azure AI Software Engineer: AI-First Cloud-Native Dev

Quest Software Canada Inc

Nova Scotia

Hybrid

CAD 110,000 - 150,000

Full time

12 days ago

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Benefits offered by this job

Competitive pay

Annual bonuses

Comprehensive benefits

Flexible work options

Generous PTO

Wellness programs

Job summary

Quest Software Canada Inc. seeks an AI Software Engineer to advance AI-first software practices for a cloud-native SaaS product on Azure. You will leverage C#/.NET, Python, AI coding agents, and cloud platforms to drive design, testing, and maintenance of scalable services.

Strong communication and agile collaboration are essential for this role. You will contribute to architecture decisions, code reviews, CI/CD, and release readiness within an Agile SCRUM team, delivering high-quality backend

Qualifications

Completion of a computer science undergraduate degree or equivalent practical experience.
Five or more years of professional software development experience, including strong hands-on C#, .NET and Python 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.
Design reusable prompts, agent instructions, development workflows, validation steps, and guardrails that enable consistent and responsible AI-assisted software development.
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 building Azure cloud applications using event-driven, service based or microservice architectures.
Experience building scalable backend services and distributed systems.
Strong understanding of object-oriented design, design patterns, SOLID principles, secure development, automated testing, continuous integration, debugging, and maintainable software architecture.
Strong written and verbal communication skills, technical leadership, and the ability to collaborate effectively in an Agile team environment.

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, 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.
Design, build, test, and maintain scalable, serverless, cloud-native SaaS capabilities using Python/TypeScript and AWS technologies, including EKS, DynamoDB, S3 and Lambda Functions.
Contribute to architecture, technical decision-making, code reviews, CI/CD, release readiness, and ownership of critical product components in an Agile SCRUM environment.