Architect

1 week ago

Hyderabad India Birlasoft Full time

Job Description Area(s) of responsibility Job Description: Reliability Architect 6A Reliability Architect with over 10 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 Automation Proactively monitor software systems to prevent incidents and automate routine operational tasks. - Effective Monitoring Design 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 Splunk Use Splunk to analyze logs for troubleshooting, anomaly detection, and improving system reliability. - Dashboards Preparation Build intuitive dashboards to visualize system health, performance metrics, and operational KPIs. - Alerts Setup Configure intelligent alerts based on thresholds and anomalies to ensure timely incident response. - Reports Scheduling Automate regular reporting to provide insights into system performance, reliability, and trends. - Reliability Metrics Define and track metrics such as SLOs, SLIs, and error budgets to measure and maintain system reliability. - Observability Skills Apply observability practices including distributed tracing, logging, and metrics collection to gain deep insights into system behavior. - AI-Driven Monitoring & Automation Utilize AIOps techniques to proactively detect anomalies, automate incident response, and enable self-healing systems through intelligent alerting and predictive analytics. - Observability & ML Integration Integrate machine learning models with observability tools to enhance system insights, optimize performance, and ensure reliability of AI-powered services in production. - Cross-Team Collaboration Work closely with development and support teams to enhance service reliability through rigorous testing and release procedures. - Capacity Planning Participate in system design reviews and capacity planning to ensure scalability and performance. - Debugging and Incident Response Lead incident response efforts, analyze debugging information, and manage rollbacks of faulty software deployments. - Mentoring Support Teams Guide and mentor L1/L2 support teams to establish best practices in monitoring and observability. - Infrastructure Management Manage infrastructure using tools like Chef, Ansible, Terraform, GitLab CI/CD, and Kubernetes. - Documentation Maintain comprehensive documentation of processes and procedures to ensure operational consistency and reduce redundancy. - Proactive Mindset Approach challenges with enthusiasm, ownership, and a continuous improvement mindset.

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