Title:  Architect

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.