Site Reliability Engineer – Guardicore AI Platform

Akamai Technologies

Site Reliability Engineer responsible for the reliability of Akamai's Guardicore AI Platform. Collaborating across teams to enhance performance and conduct complex investigations.

Posted 7/23/2026full-timeRemote • 🇪🇸 SpainMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in operating and enhancing Kubernetes infrastructure, with a strong focus on observability, security, and performance. Proven ability to lead cross-team initiatives and implement automation strategies using AI tools.

Highest-signal resume keywords

KubernetesObservability StrategyTroubleshooting SkillsCI/CDPython

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

KubernetesDockerHelmPythonGoBashGitOpsInfrastructure as CodePrometheusGrafana

Soft Skills

Technical LeadershipProblem-SolvingCollaboration

Tools & Technologies

GCPAzureLinodeAWS

Industry Keywords

SREDevOpsPlatform EngineeringMicroservicesData Pipelines

Tech Stack

Tools & technologies

AWSAzureDockerGoGoogle Cloud PlatformGrafanaKubernetesLinuxMicroservicesPrometheusPython

About the role

Key responsibilities & impact

Operating secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling.
Enhancing platform reliability, observability, security, performance, and cost efficiency.
Providing guidance to engineers and developers to increase confidence that their services are performing as expected.
Leading complex production investigations and driving 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.
Participating in on-call rotations, guiding restoration and repair of service-impacting issues.

Requirements

What you’ll need

3+ years of experience in SRE, DevOps, or Platform Engineering, with a proven track record of mastering and troubleshooting complex system architectures.
Demonstrate ability to design and implement a comprehensive monitoring and observability strategy using tools like Prometheus and Grafana.
Have production experience with Kubernetes, Docker, Helm, and third-party clouds (GCP, Azure, Linode, AWS) on Linux-based infrastructure.
Have exceptional troubleshooting and problem-solving skills across network, system, applications, and database layers.
Have experience with GitOps, CI/CD, and Infrastructure as Code.
Have scripting and programming proficiency in Python, Go, and Bash.
Leverage AI tools in daily operational tasks and actively propose initiatives to improve platform automation.
Demonstrate technical leadership and ownership in driving cross-team initiatives, defining tools, and building foundational frameworks.

Benefits

Comp & perks

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