Site Reliability Engineer

Role : Senior Site Reliability Engineer / Reliability Architect

Locations : Pune,Bengalore,Chennai,Pune,Noida

Job Description :

Reliability Architect with over 9 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.