Site Reliability Engineer (Guardicore AI Platform) - Remote

Stack

Responsibilities

• ▹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 and developers on expected 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 teams to investigate complex problems
• ▹Participate in on-call rotations, guiding restoration of service-impacting issues

Requirements

• ▹3+ years of experience in SRE, DevOps or Platform Engineering, with a track record troubleshooting complex system architectures
• ▹Ability to design and implement a comprehensive monitoring and observability strategy using Prometheus and Grafana
• ▹Production experience with Kubernetes, Docker, Helm and third-party clouds (GCP, Azure, Linode, AWS) on Linux-based infrastructure
• ▹Exceptional troubleshooting and problem-solving skills across network, system, application and database layers
• ▹Experience with GitOps, CI/CD and Infrastructure as Code
• ▹Scripting and programming proficiency in Python, Go and Bash
• ▹Daily use of AI tools in operational tasks
• ▹Technical leadership and ownership driving cross-team initiatives

Soft skills

About the company

Akamai runs one of the world's most distributed cloud-to-edge platforms. The Guardicore Data and AI Platform team builds a cloud-native data and AI platform enabling analytics and AI-driven features for Akamai Guardicore Segmentation.