Senior Software Engineer
Microsoft
Senior Software Engineer
Redmond, Washington, United States
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Overview
The Business and Industry Copilot group is a rapidly growing organization that aims to accelerate business transformation through AI by delivering secure, scalable, and high-quality solutions tailored to industry needs. Our focus is on customer-centric innovation, operational excellence, and empowering teams through a culture of experimentation and accountability. Microsoft is considered one of the leaders in Software as a Service in the world of business applications and this organization is at the heart of how business applications are designed and delivered.
Are you passionate about innovation and working at the cutting edge of technology? Join our Customer Experience team at Microsoft, where we’re building transformative Generative AI solutions that are redefining marketing across the company. This is an exciting time to join our group and work on something highly strategic to Microsoft. You will be a part of a team of engineers who thrive on solving complex problems at scale while doing it with impeccable quality.
As a Senior Software Engineer, you will be instrumental in shaping the direction of a high-impact, emerging initiative. You’ll lead the design and development of advanced Generative AI solutions that transform marketing workflows and elevate operational efficiency.
We’re looking for individuals with expertise in software engineering, particularly in building distributed systems using modern cloud technologies. Your contributions will directly influence the success of our platform and the experiences we deliver.
We foster a dynamic and innovative environment where creativity thrives and every team member is empowered to succeed. Our culture is supportive and inclusive, encouraging collaboration and continuous growth. You’ll have the opportunity to work on groundbreaking technologies and forward-thinking projects that shape the future. Join us and become part of a team that values curiosity, teamwork, and technological excellence—together, let’s build what’s next. Together, let us build the future.
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. Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers to levels they cannot achieve anywhere else. This is a world of more possibilities, more innovation, more openness in a cloud-enabled world.
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
- OR equivalent experience.
- 4+ years of experience architecting and scaling solutions using cloud technologies.
- 3+ years of experience proven track record of ensuring system security, scalability, reliability, and maintainability.
- 1+ year of experience hands-on experience designing and deploying AI/LLM-based solutions in production environments.
- 1+ year of experience implementing DevOps practices, including CI/CD pipelines, containerization, and infrastructure-as-code.
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
- Master's Degree in Computer Science or related technical field AND 6+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR Bachelor's Degree in Computer Science or related technical field AND 8+ years technical engineering experience with coding in languages including, but not limited to, C, C++, C#, Java, JavaScript, or Python
- OR equivalent experience.
- Experience with optimizing, prompting and finetuning AI-based solutions for performance, accuracy, and scalability is preferred but not required.
- Demonstrated ability to leverage generative AI to create innovative, user-centric product features.
- Experience in Agentic development will be preferred.
- Experience coaching and growing engineers within the team.
Software Engineering IC4 - The typical base pay range for this role across the U.S. is USD $119,800 - $234,700 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 $158,400 - $258,000 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 September 2nd, 2025
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Responsibilities
- Design and develop Azure cloud based AI-driven applications using platforms and tools such as Microsoft Copilot Studio, Azure AI Foundry and OpenAI, Semantic Kernel, and large language models.
- Implement and test full-stack solutions, including both client-side and server-side components.
- Maintain high-quality code through robust error handling mechanisms and comprehensive unit and automated integration testing.
- Develop and maintain comprehensive alerting, monitoring, and reporting systems to ensure application reliability and performance, while enabling visibility into key business KPIs and metrics.
- Collaborate cross-functionally with partner teams to deliver seamless, end-to-end systems and user experiences.
- Explore and prototype emerging technologies, frameworks, and methodologies to drive innovation.