Q

Quest Software

IT management software and database tools

Azure AI Software Developer

Backend EngineeringPosted on Nov 5
Full-timeNo salary listedRemote

About the Job

Requirements

  • 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.
  • Ability to 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 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), 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.

Desired Qualifications

  • Experience developing and maintaining YAML CI/CD pipelines using Azure DevOps, Jenkins, GitHub Actions, Terraform, or similar systems.
  • Experience with Azure OpenAI Service, large language model APIs, evaluation frameworks, observability, or AI application security.
  • Experience with Angular or React and TypeScript.
  • Experience with PySpark (Python + Spark).

About the Company

Quest Software

IT management software and database tools

Quest Software provides IT management software that helps organizations monitor, manage, and optimize their technology environments. Its roots began with HP MPE tools, but in 1996 it pivoted to database management with Oracle SQL tuning products that addressed growing enterprise IT complexity. The company offers products for database administration, performance tuning, and IT operations to help prevent outages, improve performance, and reduce administrative effort. Unlike more general software vendors, Quest focuses specifically on managing complex databases and enterprise systems, delivering specialized tools rather than broad consumer software. Its goal is to help large organizations ensure reliable, efficient IT operations across on-premises and cloud environments, enabling faster problem resolution and better resource use.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Aliso Viejo, CA
Founded
1987

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