Microsoft Senior Azure Customer Engineer 

Taiwan, Taoyuan City 

67873386

Minimum Qualifications:

• Bachelor's Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 4+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
• 5+ years of experience in software development, with a track record of delivering complex systems.
• 3+ years of experience Python and C# with experience in AI/ML and full stack development.
• Hands-on experience with AI Foundry, agentic systems, and reinforcement learning.

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 Engineering, or related field AND 6+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR Bachelor's Degree in Engineering, Computer Science, Information Technology (IT), Data Analytics/Science, Artificial Intelligence (AI), or related field AND 8+ years experience in technology industry, cloud, technical support, and/or customer experience engineering OR equivalent experience.
• 2+ years of customer facing experience.
• 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.
• 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.
• Problem-solving skills and ability to thrive in a fast-paced, collaborative environment.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

• 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.