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'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.

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

• OR equivalent experience.

• 2+ years Experience building large-scale, distributed, fault-tolerant cloud based services.

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 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 locations is USD $153,600 - $250,200 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 for the role until July 02, 2024

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.

#aiplatform

• 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 an 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