Customer Experience Engineer 2 at Microsoft

Hyderabad, Telangana, India -

Full Time

Start Date

Immediate

Expiry Date

18 Apr, 26

Salary

0.0

Posted On

18 Jan, 26

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, C#, AI/ML, Full Stack Development, Agentic Systems, Reinforcement Learning, Cloud Platforms, Microservices Architecture, Synthetic Data Generation, System Design, Distributed Computing, CI/CD Pipelines, DevOps Practices, Container Orchestration, Technical Mentorship, Problem-Solving

Industry

Software Development

Description

Overview Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team? The Engineering Ops ACES (EngOps) 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 EngOps 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. 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. Qualifications Basic Qualifications: Bachelor’s degree in computer science, Engineering, or related field. 4+ years of experience in software development, with a strong track record of delivering complex systems. Proficiency in Python and C# with deep experience in AI/ML and full stack development. Hands-on experience with AI Foundry, agentic systems, and reinforcement learning. Strong understanding of data structures, algorithms, system design, and distributed computing. Experience with cloud platforms (Azure) 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 #EngOps #EngOpsACES This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

Responsibilities

The role involves architecting, designing, and implementing scalable software solutions while developing intelligent agentic systems for Azure support. The engineer will collaborate with various teams to define technical requirements and ensure high standards of software quality.