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About the role
Solution Automation Software Engineer at Microsoft
Required Skills
pythonjavascriptpower appspower automatecopilot studioazuredevopsai servicescloud-native
About the Role
The Solution Automation Software Engineer role focuses on building intelligent automation frameworks and workflows using Microsoft Power Platform and Copilot technologies. This position involves developing agents, enhancing platform capabilities, and integrating AI solutions to accelerate customer value delivery at scale. The engineer will collaborate with cross-functional teams to model technical feasibility and drive continuous improvement of prioritization systems.Key Responsibilities
- Develop Intelligent Agents: Create agents and provide guidance for automating prioritized business tasks
- Extend Platform Capabilities: Enhance Copilot and Azure agents for scalable and reusable solutions
- Design Automation Frameworks: Build tools and scoring systems to support agent prioritization
- Implement Smart Workflows: Use Power Platform tools—including Power Apps and Power Automate—to design intelligent workflows
- Integrate Advanced Solutions: Incorporate Copilot and Copilot Studio into prioritization and testing processes
Required Skills & Qualifications
Must Have:
- Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python OR equivalent experience
- 1+ years of experience in software engineering, automation, or technical solutioning
Nice to Have:
- Experience working with Power Platform tools (Power Apps, Power Automate) and Copilot Studio
- Experience with cloud-native architectures and modern development frameworks
- Familiarity with OpenAI services and survey-based data modeling
- Strong understanding of UX and technical complexity modeling
- Experience working in cross-functional teams focused on scalable solution delivery
- Software development practices like DevOps and CI/CD tool chains (i.e., Jenkins, Spinnaker, Azure DevOps, GitHub)
- Understanding of AI services, how to leverage them in the composition of modern application infrastructures (OpenAI)
- Competitive landscape knowledge and knowledge of cloud development platforms
Benefits & Perks
- Industry leading healthcare