Chief System Reliability Architect

4 days ago

Kanpur, Uttar Pradesh, India beBeePerformance Full time ₹ 1,80,00,000 - ₹ 2,20,00,000
Reliability Engineering Lead

As a pivotal figure in building and scaling robust systems, the Reliability Engineering Lead oversees the reliability, scalability, and performance of our critical systems. This position combines software engineering and systems engineering expertise to build and maintain high-performing, reliable systems.

Key Responsibilities:
  • Reliability & Performance:
    • Lead efforts to maintain high availability and reliability of critical services.
    • Define and monitor service level indicators (SLIs), service level objectives (SLOs), and service level agreements (SLAs) to ensure business requirements are met.
    • Proactively identify and resolve performance bottlenecks and system inefficiencies.
  • Incident Management & Response:
    • Establish and improve incident management processes and on-call rotations.
    • Lead incident response and root cause analysis for high-priority outages.
    • Drive post-incident reviews and ensure actionable insights are implemented.
  • Automation & Tooling:
    • Develop and implement automated solutions to reduce manual operational tasks.
    • Enhance system observability through metrics, logging, and distributed tracing tools (e.g., Prometheus, Grafana, Elastic APM).
    • Optimize continuous integration/continuous deployment (CI/CD) pipelines for seamless deployments.
  • Collaboration:
    • Partner with software engineering teams to improve the reliability of applications and infrastructure.
    • Work closely with product/engineering teams to design scalable and robust systems.
    • Ensure seamless integration of monitoring and alerting systems across teams.
  • Leadership & Team Building:
    • Manage, mentor, and grow a team of reliability engineers.
    • Promote reliability best practices and foster a culture of reliability and performance across the organization.
    • Drive performance reviews, skills development, and career progression for team members.
  • Capacity Planning & Cost Optimization:
    • Perform capacity planning and implement autoscaling solutions to handle traffic spikes.
    • Optimize infrastructure and cloud costs while maintaining reliability and performance.

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