Roles and Responsibilities

• Lead the design, development, and implementation of observability solutions across cloud-native infrastructure and applications.
• Ensure the reliability, scalability, and performance of critical services by leveraging observability tools and platforms.
• Develop and maintain performance monitoring systems to proactively identify and resolve potential issues.
• Troubleshoot and resolve complex problems across distributed systems using observability data.
• Implement best practices for logging, metrics, and tracing to ensure full-stack visibility.
• Work closely with cross-functional teams to drive reliability improvements and foster a culture of "SRE-driven" automation and proactive monitoring.
• Automate and optimize observability pipelines, ensuring data quality, completeness, and performance.
• Manage and mentor junior engineers, providing technical leadership and guidance in observability and site reliability practices.
• Ensure systems are continuously monitored, with appropriate alerting thresholds and response strategies in place.
• Collaborate with engineering teams to identify reliability risks and develop strategies to mitigate them.

Qualifications

• Strong experience in Site Reliability Engineering (SRE) principles and practices.
• Expertise in observability development, including instrumentation, monitoring, and alerting strategies.
• Experience in leading technical teams and acting as a technical lead on major observability projects.
• Deep understanding of performance monitoring tools and techniques, including latency, throughput, error rate, and system health monitoring.
• Experience with Grafana, Prometheus, Cortex, Loki, Tempo, and Mimir for metrics, logging, tracing, and performance monitoring.
• Proven problem-solving skills and ability to troubleshoot issues in complex distributed systems.
• GCP (Google Cloud Platform) experience is required; previous experience with AKS/Azure is a plus but GCP will be the focus for this role.
• Strong scripting and automation skills (e.g., Python, Go, Bash) for building observability tooling and improving infrastructure reliability.
• Experience working in cloud-native environments (e.g., Kubernetes, microservices, containers).

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