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Customer Experience Engineer II (Software Engineer II)

Microsoft

Customer Experience Engineer II (Software Engineer II)

Microsoft

India, Telangana, Hyderabad

·

On-site

·

Full-time

·

1mo ago

Required Skills

Python

C#

AI/ML

Agentic systems

Reinforcement learning

System design

Distributed computing

Overview:

Are you a customer-obsessed, AI-curious problem-solver who thrives in an inclusive, collaborative global team?

The Engineering Operations (Eng Ops) 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 Eng Ops 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:

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 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 environment. #Eng Ops #Eng OpsACES

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.

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About Microsoft

Microsoft

A software corporation that develops, manufactures, licenses, supports, and sells a range of software products and services.

10,001+

Employees

Redmond

Headquarters

$3000B

Valuation

Reviews

3.8

5 reviews

Work Life Balance

4.1

Compensation

4.3

Culture

3.4

Career

3.2

Management

3.0

65%

Recommend to a Friend

Pros

Excellent compensation and benefits package

Four-day workweek with improved work-life balance

Supportive managers and teams

Cons

High-pressure environment causing anxiety

Unprofessional interview processes

Limited creative work opportunities

Salary Ranges

5,571 data points

Junior/L3

Mid/L4

Junior/L3 · Advertising Client Success

2 reports

$163,358

total / year

Base

$141,875

Stock

-

Bonus

-

$163,358

$163,358

Interview Experience

7 interviews

Difficulty

3.7

/ 5

Duration

14-28 weeks

Offer Rate

14%

Experience

Positive 14%

Neutral 29%

Negative 57%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical Phone Screen

4

Technical Interview

5

Onsite/Virtual Interviews

6

Final Round

7

Offer

Common Questions

Coding/Algorithm

System Design

Behavioral/STAR

Technical Knowledge

Past Experience