Software Engineer II
Microsoft Hyderabad, Telangana, India
Job Description
"Unlock the power of AI-driven SRE and join the Azure SRE Agent Platform team at Microsoft, where you'll design and build cutting-edge systems that transform the way organizations detect, diagnose, and mitigate production issues."
As a Software Engineer II in Microsoft's CoreAI division, you'll be part of a high-performing team that develops and runs AI Agents as Service, empowering customers to maintain exceptional system reliability and uptime.
With a focus on quality, safety, security, enterprise scale, and real-world impact, our agents are 'virtual SRE teammates' that continuously watch systems, investigate problems, and recommend or perform fixes.
Why you should learn this:
The demand for AI-driven SRE solutions is skyrocketing, with a projected growth rate of 35% in the next 5 years, driven by the increasing need for organizations to maintain high system reliability and uptime.
Expected Salary: $140,000 - $200,000 per year, depending on location and experience
How it works:
- Design and improve core capabilities that shape agent behavior, including tool design, planning and execution loops, orchestration, evaluation, and safety guardrails.
- Build operational foundations that make agentic systems dependable, including monitoring, logging, and alerting.
Core Concepts to Master
Agent Architecture
Understand the design principles and patterns for building scalable, fault-tolerant, and secure AI-driven SRE systems, including microservices architecture, containerization, and service mesh.
Observability and Monitoring
Learn how to design and implement comprehensive observability and monitoring strategies for agentic systems, including logging, metrics, and tracing.
Machine Learning and AI
Master the application of machine learning and AI techniques for building predictive models, anomaly detection, and root cause analysis in SRE systems.
Interview Questions (Beginner)
- What do you know about AI-driven SRE, and how do you think it can be applied in real-world scenarios?
- Can you explain the difference between a microservices architecture and a monolithic architecture?
- How would you approach designing a monitoring and logging strategy for a complex system?
Job Overview
Advance Questions
- • Design a scalable and fault-tolerant architecture for an AI-driven SRE system, including containerization and service mesh.
- • Implement a machine learning model for anomaly detection in a production system, and explain how you would deploy and monitor it.
- • Explain how you would approach debugging a complex issue in an agentic system, including tools and techniques you would use.