Senior Software Engineer - Microsoft Technologies (Remote)

About the Role

Quest Software's AI Center of Excellence in Cork, Ireland is seeking a Senior Software Engineer (Remote) with expertise in the Microsoft technology stack. The ideal candidate will have a strong foundation in .NET technologies, C#, and SQL Server, and will contribute to the design, development, and maintenance of scalable enterprise applications. As the central hub for AI innovation across Quest's SaaS platform ecosystem, our Cork-based AI CoE shapes the future of enterprise AI solutions serving millions of users worldwide. In this role, you will design and implement AI-powered solutions on Microsoft Azure, take ownership of specific AI system components, and collaborate closely with data scientists and senior engineers to deliver scalable, production-ready AI systems.

What You'll Do

• Design, develop, test, and maintain web and desktop applications using Microsoft technologies (.NET Core/.NET Framework, C#, ASP.NET, Blazor, etc.)
• Implement and maintain RESTful APIs and integrate with third-party services
• Work with SQL Server to design and optimize database schemas, queries, and stored procedures
• Design and implement AI/ML model deployment pipelines on Azure (Azure ML, AKS, Azure Functions)
• Collaborate with cross-functional teams, including product managers, designers, and QA engineers
• Participate in code reviews, debugging, and performance tuning
• Produce testing documentation and demos
• Adhere to Quest’s software development methodology and security best practices

Requirements

• Bachelor’s degree in Computer Science, Engineering, or related field (or equivalent experience)
• 8+ years of professional experience in software development using Microsoft technologies
• Strong experience with C#/.NET development and Python
• Proficiency in .NET Core/.NET Framework, ASP.NET MVC/Web API
• Experience with SQL Server and relational database design
• Hands-on experience with Azure ML, containerization (Docker, Kubernetes), and CI/CD
• Understanding of machine learning model deployment and MLOps practices
• Familiarity with Azure services (App Services, Azure Functions, Azure DevOps)

Nice to Have

• Experience with Azure OpenAI and Cognitive Services
• Knowledge of infrastructure-as-code (Terraform, ARM templates)
• Experience with micro-services architecture
• Exposure to Agile/Scrum methodologies

What We Offer

• Competitive pay, annual bonuses, and top-performer recognition
• Comprehensive health, family, and retirement benefits
• Flexible work options, generous PTO, and wellness programs
• Professional growth through learning platforms, mentorship, and leadership programs
• Inclusive teams that reflect the world we serve, supported by Employee Resource Groups and our Equality & Inclusion Council