Senior Software Engineer

The Agents Enterprise Readiness and Analytics (ERA) team in Azure AI Platform organization at Microsoft is responsible for building services and features to empower developers to easily build agent-like capabilities into their applications. Leveraging the latest GPT models, tools, and knowledge, developers are

rapidly creating customized stateful copilots grounded in their enterprise data and capable of handling a wide array of tasks.

We are looking for a Senior Software Engineer who is interested in building, operationalizing, and shipping these highly scalable AI services with enterprise-grade features to our customers.

Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky is the limit thinking in a cloud-enabled world.

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served.

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.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day.

Responsibilities

• Design, develop, and operationalize deployment of complex, enterprise-grade cloud services that leverage multiple Azure Services (Kubernetes, Azure Storage, AI Search, CosmosDB, and Event Hubs, etc)
• Collaborate with your peers to craft, develop, test, and maintain services and features using your deep technical expertise, problem-solving skills, and a effective understanding for cloud-based service development and operations. 
• Be responsible for the end-to-end lifecycle of these services, ensuring their scalability, reliability, and security.
• Collaborate with cross-functional teams, including software engineers, researchers, UX design, and product managers.  
• Lead discussions on the architecture of products or solutions and apply engineering principles to establish robust and maintainable architecture and designs
• Lead by example by producing extensible and maintainable code, adhering to best engineering practices, raising the quality bar, and improving the team's response to customer incidents

Other:

• Embody our Culture and Values

Qualifications

Required Qualifications:

• Bachelor's Degree in Computer Science, or related technical discipline AND 4+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python

                 o OR equivalent experience.

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 building large-scale, distributed, fault-tolerant distributed services
• Experience with cloud infrastructure platforms like Azure, AWS, or Google Cloud
• Proficiency in Python, Java/C++ or Golang
• Prior experience in generative AI.
• Deep understanding of cloud technologies, distributed compute systems, and distributed systems and microservices architecture
• Self-motivation and a drive to get things to “done”.
• System design, algorithmic skills, and knowledge of data structures​.  
• Proficiency in Agile development practices and Continuous Integration/Continuous Deployment (CI/CD)
• Debugging, testing, and problem-solving skills.  

Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $117,200 - $229,200 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 locatio