1 week ago

Senior Site Reliability Engineer (Guardicore AI Platform) - Remote

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Own the reliability, availability, performance, and operational readiness of a cloud-native Data and AI Platform for Guardicore Segmentation. Operate secure, highly available Kubernetes infrastructure for microservices, data pipelines, observability, and internal tooling. Improve reliability, security, performance, and cost efficiency through deep troubleshooting, cross-team collaboration, on-call incident response, and AI-driven automation for auto-remediation and streamlined operations.

Location: Madrid

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Take technical ownership of reliability, availability, performance, and operational readiness for the Guardicore Data and AI Platform.
•Operate secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling.
•Enhance reliability, observability, security, performance, and cost efficiency, including long-term improvements after investigations.
•Lead complex production investigations and guide engineers/developers to ensure services perform as expected.
•Leverage LLMs and AI-driven automation to auto-remediate incidents; partner across DevOps, Software, Data, AI, and Security teams; participate in on-call rotations.

Key Requirements

•5+ years of experience in SRE, DevOps, or Platform Engineering, with a track record of mastering and troubleshooting complex system architectures.
•Ability to design and implement monitoring and observability strategies using tools like Prometheus and Grafana.
•Extensive production expertise with Kubernetes, Docker, Helm, and third-party clouds (GCP, Azure, Linode, AWS) on Linux-based infrastructure.
•Exceptional troubleshooting and problem-solving across network, system, application, and database layers.
•Experience with GitOps, CI/CD, Infrastructure as Code, plus scripting/programming proficiency in Python, Go, and Bash.

Experience:CybersecurityData & AI platformsCloud platforms

Skills:Technical leadershipProblem-solvingTechnical ownershipCollaborationIncident investigation

Tech Stack:KubernetesMicroservicesPrometheusGrafanaDockerHelmGCPAzureLinodeAWSLinuxGitOpsCI/CDInfrastructure as CodePythonGoBashLLMsAI automation

Company Brief

Akamai Technologies

Provides a global content delivery network (CDN) and cloud services to improve web and application performance, security, and delivery for enterprises, media companies, and cloud providers.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United States

Founded: 1998

Website LinkedIn

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Akamai Technologies

1 week ago

Senior Site Reliability Engineer (Guardicore AI Platform) - Remote

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 10 hours agoStatus: Live

Job Summary

Location: Madrid

Workplace: Remote

Employment Type: Full time

Job Function: DevOps, Cloud & Infrastructure

Seniority: Mid level

Key Responsibilities

•Take technical ownership of reliability, availability, performance, and operational readiness for the Guardicore Data and AI Platform.
•Operate secure, highly available Kubernetes infrastructure for core microservices, data pipelines, observability, and internal tooling.
•Enhance reliability, observability, security, performance, and cost efficiency, including long-term improvements after investigations.
•Lead complex production investigations and guide engineers/developers to ensure services perform as expected.
•Leverage LLMs and AI-driven automation to auto-remediate incidents; partner across DevOps, Software, Data, AI, and Security teams; participate in on-call rotations.

Key Requirements

•5+ years of experience in SRE, DevOps, or Platform Engineering, with a track record of mastering and troubleshooting complex system architectures.
•Ability to design and implement monitoring and observability strategies using tools like Prometheus and Grafana.
•Extensive production expertise with Kubernetes, Docker, Helm, and third-party clouds (GCP, Azure, Linode, AWS) on Linux-based infrastructure.
•Exceptional troubleshooting and problem-solving across network, system, application, and database layers.
•Experience with GitOps, CI/CD, Infrastructure as Code, plus scripting/programming proficiency in Python, Go, and Bash.

Experience:CybersecurityData & AI platformsCloud platforms

Skills:Technical leadershipProblem-solvingTechnical ownershipCollaborationIncident investigation

Tech Stack:KubernetesMicroservicesPrometheusGrafanaDockerHelmGCPAzureLinodeAWSLinuxGitOpsCI/CDInfrastructure as CodePythonGoBashLLMsAI automation

Company Brief

Akamai Technologies

Provides a global content delivery network (CDN) and cloud services to improve web and application performance, security, and delivery for enterprises, media companies, and cloud providers.

Industry: Cloud Computing

Company Size: Enterprise (1,001+ employees)

Revenue: USD 1B+

Growth: Public Company

Valuation: Public Company (Market Cap in USD)

Funding: IPO / Publicly Listed

Headquarters: Cambridge, United States

Founded: 1998

Website LinkedIn