Site Reliability Engineering
- Production incident management
- Live-site operations and mitigation
- Root-cause and cross-incident analysis
- Post-incident learning
- Repair effectiveness
- Operational readiness
Amit Kumar · Microsoft · Site Reliability · Platform Engineering
Amit Kumar engineers systems that stay reliable.
I’m a Microsoft engineer working across Azure production reliability, live-site operations, incident engineering, automation, and AI-assisted reliability. I build systems that help engineers detect risk earlier, investigate production issues faster, and turn operational knowledge into scalable workflows.
Status OperationalFocus Azure SREMode Build / Learn
9+ years · Scroll to explore ↓
Microsoft · Azure · SRE · AI for operations
Turning production signals, incidents, and telemetry into reliability at scale.
Signal → context → decision
From reactive response to proactive intelligence.
I use AI, telemetry, APIs, automation, and historical incident knowledge to help engineers see risk earlier and act with better context.
Scroll film
Quick profile
Depth meets direction.
Deep enterprise cloud experience across infrastructure, Microsoft 365, identity, security, production reliability, and customer-facing engineering.
Experience
9+years in technology and cloudCurrent scope
Azurereliability and cloud operationsEngineering
AIautomation and agentic workflowsRecognition
2×Microsoft ACE AwardEducation
MBAIIM KozhikodePlatform
M365enterprise cloud expertiseAbout
Engineering reliability beyond incident response.
I’m a technology professional with 9+ years of experience spanning Azure, Microsoft 365, cloud reliability, identity, security, automation, enterprise SaaS, and production engineering.
At Microsoft, my work focuses on Azure live-site reliability and engineering operations: production incidents, telemetry, cross-incident analysis, operational reviews, problem management, and automation.
I’m helping move reliability engineering from reactive response toward proactive intelligence by applying AI, APIs, telemetry, and agentic workflows to operational signals and historical knowledge.
01
Automate what humans shouldn’t repeat.
Every repetitive operational process is an engineering opportunity.
02
Engineer for failure.
Production systems should expect failures and recover intelligently.
03
Make reliability measurable.
Observability matters when it leads to decisions and preventative action.
What I work on
The operating system behind reliability.
Engineering practices, platforms, and automation for complex cloud environments.
Platform Engineering
- Cloud platform operations
- Operational tooling
- API integrations
- Service telemetry
- Standardized workflows
- Self-service capabilities
DevOps & Automation
- Python and PowerShell
- CI/CD and GitHub Actions
- Azure DevOps
- KQL and data-driven troubleshooting
- Azure Functions and Logic Apps
- Workflow automation
Signal streams24 active
Correlation0.92 confidence
Decision modelHuman in loop
System stateLearning
Illustrative operational model · Live
Every incident leaves a signal.
The engineering opportunity is to connect those signals across time, services, telemetry, and repairs—then turn them into earlier, better decisions.
AI × Reliability Engineering
Bringing intelligence into production operations.
AI should augment engineering judgment, not replace engineering ownership in critical production environments.
Pre-Outage Intelligence
Using operational signals and historical patterns to surface potential reliability risks before customer impact expands.
AI-Assisted Incident Analysis
Correlating telemetry, service context, incident history, and operational signals for faster engineering decisions.
Multi-Agent Workflows
Specialized agents collaborating across retrieval, investigation, analysis, and recommendation generation.
Operational Knowledge Automation
Transforming historical incident knowledge into systems that assist engineers during live-site events.
API + AI Integration
Connecting operational data sources with intelligent workflows to reduce manual investigation.
Human in the Loop
Keeping accountable engineering judgment at the center of AI-assisted production operations.
Featured engineering work · Drag to explore
Systems for seeing, learning, and acting earlier.
01 · AI + Reliability
AI-Assisted Reliability Intelligence
Evaluating operational signals and historical context to identify potential production risks earlier.
02 · SRE
Cross-Incident Reliability Engineering
Finding recurring failure modes, detection gaps, mitigation delays, dependencies, and repair effectiveness across incidents.
03 · DevOps
Cloud Operations Automation
Reducing manual investigation and operational effort through API-driven automation and reusable engineering workflows.
04 · Enterprise Cloud
Microsoft 365 & Identity Engineering
Deep enterprise experience across identity, messaging, security, compliance, and cloud administration.
Engineering stack
Tools are useful. Systems thinking is the multiplier.
A reliability-first toolkit spanning production operations, cloud platforms, automation, observability, AI, and enterprise cloud.
Reliability
Cloud / Platform
DevOps / Automation
AI Engineering
Enterprise Cloud
Engineering Data
Experience
From software to AI-augmented reliability.
A career built across the application, enterprise cloud, platform, and production layers.
Microsoft — Azure Reliability & Engineering Operations
Current focus: Azure production reliability, live-site engineering, problem management, operational intelligence, and AI-assisted reliability.
- Engineer across large-scale Azure production environments and live-site operations
- Analyze incidents and telemetry to identify recurring failure patterns and systemic risks
- Drive cross-incident problem management and preventative engineering opportunities
- Contribute to reliability-review tooling and operational intelligence workflows
- Build AI-assisted capabilities combining operational data, APIs, automation, and agents
- Apply structured incident learning to improve detection, mitigation, and repair effectiveness
Earlier: Microsoft 365 / Identity / Security Engineering across Exchange Online, Entra ID, Graph, Defender, Purview, and complex production escalations.
Navisite
Microsoft 365 Engineer across identity, messaging, security, automation, and platform administration.
Wipro
Microsoft 365 Technical Consultant focused on Exchange Hybrid, migrations, disaster recovery, and PowerShell.
Optimal Transnational
Software Engineer building and supporting web applications and production systems.
Software→Enterprise Cloud→Azure Production→SRE + Platform→AI Reliability
Credentials & recognition
Engineering depth, business range.
Education & certifications
Executive MBAIIM Kozhikode · 2023–2025
AZ-104Azure Administrator
MS-500M365 Security
PL-900Power Platform
Recognition
2× ACE AwardMicrosoft
Star PerformerNavisite
Star AchieverWipro
Codex AwardOptimal Transnational
Engineering in public · @amitkumarops
Build. Document. Share the system.
My GitHub is where I build around Python, DevOps automation, Azure, platform engineering, SRE, observability, infrastructure automation, AI agents, and reliability tooling.
SRE · Platform · DevOps · Azure · AI
Let’s build reliable systems.
Interested in technically challenging problems across cloud platforms, automation, and intelligent operations.