Site Reliability Engineer

Role & responsibilities

Site Reliability Engineer / Cloud Engineer

SRE & Reliability Engineering

• Managed production environments ensuring high availability and reliability of cloud-hosted applications
• Led incident response, performed deep root cause analysis, and implemented preventive measures to reduce recurrence
• Improved system resilience through proactive monitoring and performance tuning strategies

Azure Application & Platform Engineering

• Designed and supported application architectures using:
• Azure App Services and App Service Plans
• Azure App Service Environment v3 (ASEv3) for isolated, high-scale workloads
• Azure Application Gateway (WAF-enabled) for L7 traffic management
• Azure Front Door for global traffic routing and failover
• Implemented secure and scalable cloud networking patterns, optimizing latency and throughput

Automation & Toil Reduction

• Identified repetitive operational tasks and reduced manual effort through automation-first solutions
• Developed automation using:
• Terraform / Bicep / ARM templates
• Azure Automation (Hybrid Workers)
• Azure Functions for event-driven workflows
• Leveraged AI-assisted tools (GitHub Copilot, Copilot) to accelerate scripting and automation development, while ensuring strict validation for enterprise use

Observability & Monitoring

• Built and enhanced observability using:
• Azure Monitor, Application Insights, Log Analytics
• Created KQL-based queries and dashboards for proactive issue detection
• Reduced false alerts by optimizing alert thresholds and improving signal quality

Performance & System Optimization

• Analyzed application performance across distributed systems to identify bottlenecks
• Implemented improvements through:
• Scaling strategies (horizontal & vertical)
• Network optimization (AGW / Front Door tuning)
• Backend service improvements

Collaboration & Engineering Enablement

• Partnered with SRE, CloudOps, and development teams to design resilient systems
• Contributed to runbooks, documentation, and operational standards
• Enabled engineering teams by improving platform reliability and deployment pipelines

Key Achievements

• Reduced manual operational effort by X% through automation initiatives
• Improved system availability to 99.X% by strengthening monitoring and failure handling mechanisms
• Decreased incident resolution time by X% via enhanced observability and streamlined runbooks
• Optimized application performance using Front Door and AGW tuning, reducing latency by X%

Preferred candidate profile

Cloud & Platform Engineering

• Microsoft Azure (Preferred)
• Understanding and experience in developing Azure function Apps, Azure logic Apps
• Understanding of event triggers, event hub, service bus.
• Azure Landing zones, Azure Cloud Adoption Framework, Azure Well Architectured Framework
• Application Hosting: App Services, App Service Plans, ASEv3
• Networking: Azure Application Gateway (AGW), Azure Front Door, VNet, NSGs, Load Balancing
• Cloud Architecture: High Availability, Fault Tolerance, Scalability Patterns

Incident Management and RCA

• Incident Management, P1 troubleshooting, Change Management
• Experienced in leading RCA and representing on the weekly call
• SLA / SLO / Error Budget concepts
• System Performance Optimization & Capacity Planning
• Toil Reduction through Automation

Infrastructure as Code & Automation

• Terraform, Azure Bicep, ARM Templates
• Azure Automation (Hybrid Workers)
• Azure Functions (Serverless automation)
• API-based automation and orchestration

Observability & Monitoring

• Azure Monitor, Log Analytics Workspace, Grafana, Site 24x7 (or similar SaaS based synthetic monitoring tool)
• Application Insights
• KQL (Kusto Query Language)
• Alert tuning and signal-to-noise optimization

AI-Enabled Productivity (Not as Skill)

• Leveraging GitHub Copilot / Microsoft Copilot for:
• Code acceleration and script generation
• Automation development support
• Troubleshooting and log analysis assistance
• Proven track record of workforce optimization leveraging AI tools.
• Applying validation frameworks to ensure secure, accurate, and production-grade outputs

DevOps & Integration

• CI/CD using Azure DevOps
• Deep understanding on version control
• API integrations (REST, Postman, SoapUI)
• Source control and release management
• Bachelors Degree in Computer Science / Engineering or related field

Preferred/Additional Experience

• Experience with microservices and distributed architectures
• Exposure to low-code automation platforms
• Working knowledge of AWS cloud services

Preferred/Additional Certifications

• AZ-104 Azure Administrator
• AZ-700 Designing and Implementing Microsoft Azure Networking Solutions
• AZ-400 Microsoft Certified: DevOps Engineer Expert