Overview
In this role you will own the reliability and operational readiness of the Guardicore Data and AI Platform, a cloud-native data/AI platform for security analytics. You will work with cross-functional teams to improve availability, performance, security, and cost efficiency, while guiding engineers on service performance. You will lead complex production investigations and leverage AI-driven automation to streamline operations. This is an opportunity to shape platform reliability at scale within a security-focused, AI-enabled product."
Compensaciones / Ventajas FlexBase program
remote/hybrid/work-from-home options
health and well-being benefits
financial planning benefits
life beyond work support
Responsabilidades Operate secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling
Enhance platform reliability, observability, security, performance, and cost efficiency
Provide guidance to engineers to increase confidence in service performance




Lead complex production investigations and drive long-term improvements
Leverage LLMs and AI-driven automation to auto-remediate incidents and streamline operations
Partner across DevOps, Software, Data, AI and Security engineering Teams to investigate and troubleshoot complex problems
Participate in on-call rotations, guiding restoration and repair of service-impacting issues
Requisitos principales 3+ years in SRE, DevOps, or Platform Engineering with proven troubleshooting of complex systems
Design and implement monitoring/observability strategy using Prometheus and Grafana
Production experience with Kubernetes, Docker, Helm, and cloud providers (GCP, Azure, Linode, AWS) on Linux
Exceptional troubleshooting across network, system, applications, and databases
Experience with GitOps, CI/CD, and Infrastructure as Code
Scripting/programming in Python, Go, and Bash
Experience using AI tools in operations and proposing automation initiatives
Technical leade

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