Senior Azure Customer Engineer
Microsoft
Senior Azure Customer Engineer
Redmond, Washington, United States
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Overview
Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Azure Customer Experience Platform (CXP) team’s mission is to transform Microsoft Cloud customers into fans. Through our deep engineering engagements with customers and teams across Microsoft, we analyze and amplify customer needs and drive the vision to improve Cloud quality, security, and reliability. Our culture of growth mindset and empowerment are central to who we are and how we work.
Our team is at the heart of delivering scalable, resilient, and intelligent solutions that empower customer engineering teams across the organization. We are seeking a highly experienced and innovative Senior customer Engineer with a strong development experience and focus on AI/ML, agentic systems, and full stack development to join the team. This role offers the opportunity to lead the development of next-generation intelligent platforms and contribute to the strategic direction of customer engineering for GSX and commercial businesses. The selected candidate will be mainly focusing on developing the agentic AI systems to transform Azure support.
Every day, our customers stake their business and reputation on our cloud. You can help Azure CXP provide our customers with the world-class cloud services they need to succeed.
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.
Qualifications
Required Qualifications:
- Bachelor’s degree in computer science, Engineering, or related field.
- 5+ years of experience in software development, with a strong track record of delivering complex systems.
- 3+ years of experience Python and C# with deep experience in AI/ML and full stack development.
- Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.
- 3+ years of experience of data structures, algorithms, system design, and distributed computing.
- 3+ years of experience with cloud platforms (Azure, Google Cloud, AWS, etc.) and microservices architecture.
Preferred Qualifications:
- Bachelor’s/master’s in computer science, AI, or related field.
- Experience with CI/CD pipelines, DevOps practices, and container orchestration (e.g., Kubernetes).
- Expertise in synthetic data generation, simulation environments, and AI evaluation frameworks.
- Proven leadership in driving technical initiatives and mentoring engineering teams.
- Strong problem-solving skills and ability to thrive in a fast-paced, collaborative environment.
What We Offer:
- Opportunity to lead and shape the future of intelligent customer engineering platforms.
- Collaborative and inclusive work culture.
- Continuous learning and career development.
- Competitive compensation and benefits.
- Access to cutting-edge technologies and global impact projects.
Product Management 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 August 21, 2025.
Microsoft Cloud Background Check: This position will be required to pass the Microsoft Cloud Background Check upon hire/transfer and every two years thereafter.
Responsibilities
Key Responsibilities:
- Architect, design, and implement scalable software solutions that support core ACES functionalities.
- Develop intelligent agentic systems capable of autonomous decision-making and task execution.
- Build and optimize AI agents using AI Foundry, Python, and reinforcement learning techniques.
- Develop full stack applications with a strong emphasis on backend services using C# and cloud-native technologies.
- Design and implement synthetic data generation pipelines to support training and evaluation of agentic models.
- Collaborate with product managers, researchers, and engineering teams to define technical requirements and deliver innovative solutions.
- Drive technical excellence through mentorship, code reviews, and adoption of best practices.
- Own the end-to-end lifecycle of software components, including design, development, testing, deployment, and maintenance.
- Contribute to architectural decisions, scalability strategies, and long-term technical vision.
- Evaluate and integrate emerging technologies to enhance platform capabilities.
- Ensure high standards of software quality, performance, and security.