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Job Title


Reliability Engineer


Company : Birlasoft


Location : Pune, Maharashtra


Created : 2026-04-10


Job Type : Full Time


Job Description

Job Description: Reliability Sr. Tech Lead/Architect – 5BReliability Architect with 8 to 12 years of experience in proactive monitoring, automation, and observability. Skilled in AIOps/MLOps, infrastructure management, 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 routine operational tasks.Effective MonitoringDesign monitoring systems that trigger alerts based on symptoms rather than outages, ensuring early detection and resolution.Application Performance Monitoring (APM)Implement and manage APM tools like New Relic or Dynatrace to track application performance, identify bottlenecks, and optimize resource usage.Log Analysis with SplunkUse Splunk to analyze logs for troubleshooting, anomaly detection, and improving system reliability.Dashboards PreparationBuild intuitive dashboards to visualize system health, performance metrics, and operational KPIs.Alerts SetupConfigure intelligent alerts based on thresholds and anomalies to ensure timely incident 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 and maintain system reliability.Observability SkillsApply observability practices including distributed tracing, logging, and metrics collection to gain deep insights into system behavior.AI-Driven Monitoring & AutomationUtilize AIOps techniques to proactively detect anomalies, automate incident response, and enable self-healing systems through intelligent alerting and predictive analytics.Observability & ML IntegrationIntegrate machine learning models with observability tools to enhance system insights, optimize performance, and ensure reliability of AI-powered services in production.Cross-Team CollaborationWork closely with development and support teams to enhance service reliability through rigorous testing and release procedures.Capacity PlanningParticipate in system design reviews and capacity planning to ensure scalability and performance.Debugging and Incident ResponseLead incident response efforts, analyze debugging information, and manage rollbacks of faulty software deployments.Mentoring Support TeamsGuide and mentor L1/L2 support teams to establish best practices in monitoring and observability.Infrastructure ManagementManage infrastructure using tools like Chef, Ansible, Terraform, GitLab CI/CD, and Kubernetes.DocumentationMaintain comprehensive documentation of processes and procedures to ensure operational consistency and reduce redundancy.Proactive MindsetApproach challenges with enthusiasm, ownership, and a continuous improvement mindset.