Software Engineer II

The Agent Flows team, part of the Intelligent Automations organization at Microsoft, is leading the way in delivering AI-first Cloud Automation capabilities in Microsoft Copilot Studio and Power Platform. Our technology powers productivity and business process workflow automation for millions of customers, with billions of automations running every day across the globe. 

We are hiring for a Software Engineer II for this team.  

In this role, you will design, build, and deliver innovative automation services and experiences that empower makers and enterprises alike. You will work across both product engineering and AI capability development, leveraging your technical expertise to solve complex challenges and shape the future of agentic automation platforms.

This team thrives on pushing the boundaries of what’s possible with AI, blending state-of-the-art engineering with cutting-edge applied science to redefine automation at scale. You will join a team that thrives on pushing the boundaries of what’s possible with AI, blending state-of-the-art engineering with cutting-edge applied science to redefine automation at scale.

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Required Qualifications: 

• Bachelor's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
  • OR equivalent experience. 

• 2+ years of industry experience in service development, successfully shipping services through multiple releases.  

Other Requirements:

• Ability to meet Microsoft, customer and/or government security screening requirements are required for this role. These requirements include but are not limited to the following specialized security screenings: 
• Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.

Preferred Qualifications:

• Experience creating AI-centric experiences, or familiarity with building AI orchestration systems 
• Experience utilizing generative AI, conduct experiments, and evaluate AI effectiveness in product improvements. 
• Experience building scalable applications and services with Azure or other scalable cloud platforms with robust performance, resiliency, telemetry, and security.  

Software Engineering IC3 - The typical base pay range for this role across the U.S. is USD $100,600 - $199,000 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $131,400 - $215,400 per year.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

Microsoft will accept applications and processes offers for these roles on an ongoing basis.

#BICJOBS 

• Works with appropriate stakeholders to determine user requirements for a set of features. 
• Contributes to the identification of dependencies, and the development of design documents for a product area with little oversight. 
• Creates and implements code for a product, service, or feature, reusing code as applicable. 
• Contributes to efforts to break down larger work items into smaller work items and provides estimation. 
• Acts as a Designated Responsible Individual (DRI) working on-call to monitor system/product feature/service for degradation, downtime, or interruptions and gains approval to restore system/product/service for simple problems.
• Supports using intelligence from algorithm training in deployments. Seeks data analysis systems and computing frameworks to enhance models. Helps create, apply, and verify models in real-world products through iterative processes. Deploys multiple models and assesses their performance.  
• Remains current in skills by investing time and effort into staying abreast of current developments that will improve the availability, reliability, efficiency, observability, and performance of products while also driving consistency in monitoring and operations at scale.