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Senior Software Engineer
Microsoft
HybridHybrid
Original Job Summary
Overview
Join Microsoft Azure Hyperscale Network to build and maintain cutting-edge AI infrastructure. As a Senior Software Engineer, you will design, build, deploy, and maintain large-scale distributed systems powering Microsoft cloud services and AI Supercomputing.
Responsibilities
- Collaborate with cross-functional teams to define requirements.
- Design and implement scalable AI systems and applications.
- Create and optimize code for high performance and reliability.
- Act as Designated Responsible Individual during incidents and outages.
- Work with software engineers and data scientists for network integration.
- Research and integrate emerging technologies and monitoring tools.
Qualifications
Required: Bachelor’s in Computer Science or related field with 4+ years experience and 2+ years in distributed systems or networking. Preferred: Advanced experience with generative AI models and agentic AI architectures.
Additional Information
Typical base pay ranges from USD 119,800 to 234,700 per year, with location-specific variations. Applications accepted until October 16, 2025.
Key skills/competency
- Distributed Systems
- Network Telemetry
- AI Infrastructure
- Cloud Computing
- Scalability
- Coding (C/C++/C#/Java/Python/JavaScript)
- Generative AI
- Debugging
- Incident Response
- Design Documentation
How to Get Hired at Microsoft
🎯 Tips for Getting Hired
- Research Microsoft: Explore culture, mission, and recent innovation news.
- Customize resume: Tailor experiences to distributed systems expertise.
- Highlight technical skills: Emphasize coding and AI system development.
- Prepare for interviews: Practice technical and behavioral questions.
- Review job description: Align your past projects with role demands.
📝 Interview Preparation Advice
Technical Preparation
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Review distributed systems architecture and design patterns.
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Practice coding in C, C++, C#, Java, Python.
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Study AI model integration and generative techniques.
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Familiarize with Azure and cloud infrastructure tools.
Behavioral Questions
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Describe a time you solved complex system issues.
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Explain your approach to collaborating across teams.
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How do you handle high-pressure incident situations?
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Discuss a project demonstrating your leadership in troubleshooting.