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About the role
Identify systemic health issues and proactively drive recovery and remediation programs. Analyse telemetry, incident trends, and fleet-wide health indicators to identify opportunities for automation Lead investigations of production incidents and drive root-cause analysis. Design and implement safe recovery workflows using related automation platforms Drive reduction of offline capacity, unhealthy nodes, stale firmware, and operational toil. Improve service reliability through self-healing and automated recovery capabilities. Create dashboards, monitoring solutions, metrics, and health signals that enable data-driven decision making Independently use appropriate artificial intelligence (AI) tools and practices across the software development lifecycle (SDLC) in a disciplined manner Acts as a Designated Responsible Individual (DRI) and guides other engineers by developing and following the playbook, working on call to monitor system/product/service for degradation, downtime, or interruptions, alerting stakeholders about status and initiates actions to restore system/product/service for simple and complex problems when appropriate Proactively seeks new knowledge and adapts to new trends, technical solutions, and patterns that will improve the availability, reliability, efficiency, observability, and performance of storage fleet while also driving consistency in monitoring and operations at scale Bachelor's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, , C#, C++, Powershell, or Python OR equivalent experience. 3+ years of experience designing, building and running large scale and highly available Cloud services or distributed systems Master's Degree in Computer Science or related technical field AND 3+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Bash, Powershell, or Python OR Bachelor's Degree in Computer Science or related technical field AND 5+ years technical engineering experience with coding in languages including, but not limited to, C++, C#, Bash, Powershell, or Python OR equivalent experience Experience in a cloud stack and leveraging cloud architecture, applying site reliability principles and/or demonstrating sensitivity to operational concerns Advanced server hardware component knowledge Experience with managing and writing services on top of cloud environments such as Azure, AWS, or GCP Experience with large-scale storage and datacentre hardware infrastructure
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