
Software Engineer
Microsoft

Microsoft Careers is hiring Software Engineers for its Microsoft 365 Copilot Chat engineering team in Hyderabad. This role focuses on building scalable conversational AI experiences used across enterprise productivity workflows. Engineers joining this team will contribute to release systems, experimentation platforms, automation tooling, and live-site reliability while collaborating with AI, platform, and UX teams. The position is suitable for candidates who enjoy solving large-scale engineering problems, working with cloud-based systems, and building reliable products that directly impact millions of users globally.
About the Team π
Microsoft 365 Copilot Chat is becoming one of Microsoftβs most strategic AI products. It powers conversational experiences that help users summarize meetings, generate insights, draft emails, and interact with enterprise data using natural language.
This engineering team works at the intersection of:
Artificial Intelligence
Cloud Engineering
Developer Productivity
Reliability Engineering
Enterprise Collaboration
Candidates joining this role will work on systems that support rapid deployments, experimentation infrastructure, and scalable operational workflows.
Key Responsibilities π οΈ
As a Software Engineer, your responsibilities may include:
Developing scalable engineering systems and backend services
Building tooling for experimentation and production analysis
Automating release pipelines and deployment workflows
Improving monitoring, observability, and platform reliability
Supporting live-site operations and service recovery processes
Collaborating with cross-functional engineering and product teams
Writing reusable and maintainable production-grade code
Learning AI-assisted engineering workflows for productivity optimization
The role also includes exposure to production systems used at global scale, making it valuable for engineers interested in distributed systems and modern cloud architecture.
Skills Microsoft Is Looking For π‘
Candidates are expected to have strong fundamentals in software engineering and problem-solving.
Preferred technical areas include:
Data Structures & Algorithms
Object-Oriented Programming
System Design Basics
Backend Development
Cloud Computing Concepts
API Development
Debugging & Performance Optimization
Programming languages mentioned in the role:
Python
Java
C
C++
C#
JavaScript
Familiarity with Git, CI/CD workflows, automation tools, and scalable application development will be useful.
Eligibility Criteria π
Required Qualification:
Bachelorβs Degree in Computer Science or related technical discipline
Equivalent practical experience may also be considered
Preferred Qualification:
Masterβs Degree in a related field
OR 2+ years of technical engineering experience
Additional Requirement:
Candidates must clear Microsoftβs Cloud Background Check process as part of onboarding and periodic compliance requirements.
Work Culture & Engineering Environment π
Microsoft strongly emphasizes:
Growth mindset
Cross-team collaboration
Inclusive engineering culture
Innovation at scale
Ownership and accountability
The role follows a hybrid work model with approximately 3 days per week in-office.
This opportunity can provide exposure to:
Enterprise-scale AI products
Cloud-native infrastructure
Production-grade deployment systems
Real-world AI integration workflows
Large-scale engineering operations
Interview Preparation Tips π
Candidates preparing for this role should focus on:
Technical Preparation
Arrays, Linked Lists, Trees, Graphs
Recursion and Dynamic Programming
Time Complexity Analysis
OOP concepts
REST APIs and backend basics
Database fundamentals
Multithreading basics
Operating Systems and Networking concepts
Coding Platforms
Useful practice platforms:
Resume Suggestions
Highlight impactful projects with measurable outcomes
Include GitHub repositories for development projects
Mention internships, certifications, and cloud-related learning
Keep project descriptions concise and technical
Recommended Learning Areas π
To strengthen your profile for similar Microsoft engineering roles:
Cloud Computing Fundamentals
Azure Basics
CI/CD Pipelines
Distributed Systems
Microservices Architecture
AI-Assisted Development Tools
Observability & Monitoring Concepts
Helpful certifications:
Microsoft Azure Fundamentals
Git & GitHub
System Design Basics
Python Backend Development
Why This Opportunity Stands Out β
This role provides direct exposure to one of Microsoftβs fastest-growing AI-powered productivity platforms. Engineers will contribute to systems used globally while learning modern engineering practices around automation, reliability, and AI integration. For candidates interested in large-scale software systems and enterprise AI products, this position offers strong long-term technical growth and industry exposure.
The Above article is written by me A passionate, goal-oriented person with a love for learning and exploring possibilities in technology and innovation. I love developing my skills, accepting challenges, self growth, and professional development as I make meaningful and impactful works.



