Reliability Architect

Work Location : All Pan India locations except MumbaiReliability Architect with over 10 years of experience in proactive monitoring,automation, and observability. Skilled in AIOps/MLOps, infrastructuremanagement, and performance optimization using modern tools and practices.Adept at leading incident response, mentoring support teams, and driving cross-functional collaboration to ensure system reliability and scalability.

Key Responsibilities

 Monitoring and AutomationProactively monitor software systems to prevent incidents and automate routineoperational tasks. Effective MonitoringDesign monitoring systems that trigger alerts based on symptoms rather thanoutages, ensuring early detection and resolution. Application Performance Monitoring (APM)Implement and manage APM tools like New Relic or Dynatrace to trackapplication performance, identify bottlenecks, and optimize resource usage. Log Analysis with SplunkUse Splunk to analyze logs for troubleshooting, anomaly detection, andimproving system reliability. Dashboards PreparationBuild intuitive dashboards to visualize system health, performance metrics, andoperational KPIs. Alerts SetupConfigure intelligent alerts based on thresholds and anomalies to ensure timelyincident response. Reports SchedulingAutomate regular reporting to provide insights into system performance,reliability, and trends. Reliability MetricsDefine and track metrics such as SLOs, SLIs, and error budgets to measure andmaintain system reliability. Observability SkillsApply observability practices including distributed tracing, logging, and metricscollection to gain deep insights into system behavior. AI-Driven Monitoring & AutomationUtilize AIOps techniques to proactively detect anomalies, automate incidentresponse, and enable self-healing systems through intelligent alerting andpredictive analytics. Observability & ML IntegrationIntegrate machine learning models with observability tools to enhance systeminsights, optimize performance, and ensure reliability of AI-powered services inproduction. Cross-Team CollaborationWork closely with development and support teams to enhance service reliabilitythrough rigorous testing and release procedures. Capacity PlanningParticipate in system design reviews and capacity planning to ensure scalabilityand performance. Debugging and Incident ResponseLead incident response efforts, analyze debugging information, and managerollbacks of faulty software deployments. Mentoring Support TeamsGuide and mentor L1/L2 support teams to establish best practices in monitoringand observability. Infrastructure ManagementManage infrastructure using tools like Chef, Ansible, Terraform, GitLab CI/CD,and Kubernetes. DocumentationMaintain comprehensive documentation of processes and procedures to ensureoperational consistency and reduce redundancy. Proactive MindsetApproach challenges with enthusiasm, ownership, and a continuousimprovement mindset.