Description

Key Responsibilities:
 

• Manage and support Azure-based production environments, ensuring stability, performance, and availability.
   
• Implement SRE practices including SLIs, SLOs, error budgets, alert tuning, and toil reduction.
   
• Develop automation scripts and internal tooling using Python for reporting, integrations, and operational workflows.
   
• Work with Azure Monitor, Log Analytics, Application Insights, and create dashboards, alerts, and KQL queries.
   
• Deploy, manage, and troubleshoot Azure services including App Services, Functions, AKS, Storage, Key Vault, Azure SQL, Service Bus, Event Hub, etc.
   
• Implement and maintain CI/CD pipelines using Azure DevOps, GitHub Actions, Jenkins, or similar tools.
   
• Use Terraform/Bicep/ARM templates for infrastructure provisioning and automation.
   
• Troubleshoot incidents across application, infrastructure, and network layers, performing root cause analysis.
   
• Improve platform reliability through automation, observability enhancements, and performance optimization.
   
• Collaborate with development, product, and platform engineering teams on deployments, releases, and reliability improvements.
   

Required Skills and Qualification
 

• Strong hands-on experience with Microsoft Azure cloud services.
   
• Proven experience in SRE, DevOps, platform engineering, or production support roles.
   
• Strong Python scripting experience for automation, integrations, reporting, and tooling.
   
• Good understanding of Azure SDK, REST APIs, Azure CLI, Bash, or PowerShell.
   
• Experience with Azure Monitor, Application Insights, Log Analytics, KQL, dashboards & alerts.
   
• Strong knowledge of Azure networking: VNets, subnets, NSGs, Private Endpoints, Load Balancers, App Gateway, Azure Front Door.
   
• Experience with Terraform, Bicep, ARM templates, or similar IaC tools.
   
• Hands-on experience building and maintaining CI/CD pipelines.
   
• Good understanding of Linux and Windows environments.
   
• Strong expertise in incident management, troubleshooting, RCA, and operational excellence.
   
• Knowledge of SRE fundamentals (SLA, SLO, SLI, MTTR, MTTD, reliability engineering).
  
   

Good to have Skills
 

• Experience with Kafka, Service Bus, Event Hub, or high‑volume messaging systems.
   
• Exposure to FinOps, cost‑optimization, or cloud governance.
   
• Experience working in financial services or other highly regulated environments.
   
• Familiarity with container platforms (AKS, Docker) and distributed systems.
   
• Knowledge of advanced observability tools (Prometheus, Grafana, Datadog).
   
• Experience collaborating with globally distributed teams

Key Skills

Education

Any Gradute