Site Reliability Engineer (SRE) – Cloud & Platform Engineering Professional Summary Site Reliability Engineer with 3–5+ years of experience in designing, operating, and optimizing cloud-native platforms with a solid focus on Azure environments. Proven expertise in building highly available, scalable, and secure systems using Infrastructure as Code (IaC) and automation-first practices. Experienced in managing application hosting architectures including Azure App Services, ASEv3, Application Gateway (AGW) and Azure Front Door, ensuring high performance and resilience across distributed systems.

Demonstrates an automation mindset by leveraging modern engineering tools and AI-assisted development platforms (e.g., GitHub Copilot, Microsoft Copilot) to accelerate delivery, reduce operational toil, and improve reliability standards — with careful validation of outputs for security and production readiness.

Core Competencies

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.

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 Professional Experience 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% Education Bachelor’s 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

📌 Site Reliability Engineer - SRE Intermediate (Pune)
🏢 FinThrive
📍 Pune