Site Reliability Engineer (Guardicore AI Platform) - Remote

Akamai Career Site; España; Híbrido; EUR 60.000 - 90.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

FlexBase program

Benefits package

Hybrid work options

Descripción de la vacante

Akamai is seeking a Site Reliability Engineer for its Guardicore Data and AI Platform Team. You will own reliability and performance of a cloud-native platform handling analytics and AI-driven features.

The role involves operating secure Kubernetes infrastructure, driving reliability, and guiding cross-functional teams in DevOps, Software, Data, AI and Security. You will leverage AI and automation to reduce incidents, participate in on-call rotations, and contribute to long-term improvements,

Formación

• 3+ years of SRE/DevOps experience with complex system architectures.
• Design and implement observability strategy using Prometheus and Grafana.
• Production experience with Kubernetes, Docker, Helm and cloud providers (GCP/Azure/Linode/AWS).
• Strong troubleshooting across network, system, applications, and database layers.
• Experience with GitOps, CI/CD, and Infrastructure as Code.
• Scripting/programming in Python, Go, and Bash.
• Leverage AI tools to automate operations and drive improvements.
• Technical leadership and cross-team collaboration.

Responsabilidades

• Operate secure, highly available Kubernetes infrastructure for core services and data pipelines.
• Enhance platform reliability, observability, security, performance and cost efficiency.
• Provide guidance to engineers to improve service performance and confidence.
• Lead complex production investigations and drive long-term improvements.
• Utilize AI-driven automation to auto-remediate incidents and streamline operations.
• Collaborate across DevOps, Software, Data, AI and Security teams to troubleshoot problems.
• Participate in on-call rotations and guide incident restoration.

Conocimientos

Kubernetes

Docker

Helm

Prometheus

Grafana

GitOps

CI/CD

Infrastructure as Code

Python

Go

Bash

AI tools

Herramientas

Kubernetes

Docker

Helm

Prometheus

Grafana

GitOps

CI/CD

Infrastructure as Code

Python

Go

Bash

Descripción del empleo

Are you passionate about building reliable and scalable cloud platforms?

Would you enjoy supporting cybersecurity products through advanced data and AI capabilities?

Join our Akamai Guardicore Data and AI Platform Team!

The team develops and manages a cloud-native Data and AI Platform enabling analytics, insights, and AI-driven features for Akamai Guardicore Segmentation. It processes extensive security and contextual data, supporting customers in understanding environments, minimizing risks, and preventing threat proliferation.

Partner with the best

As a Site Reliability Engineer, you will take technical ownership of the reliability, availability, performance, and operational readiness of the Guardicore Data and AI Platform.

You will be responsible for:

• 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.

Do what you love

To be successful in this role you will:

• 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.

About us

At Akamai, we make life better for billions of people, trillions of times a day.
Whether you're streaming live events, scrolling social media, watching your favorite series, or managing your savings, we're the engine behind the scenes. We provide the world's most distributed platform from Cloud to Edge to help the giants of the digital world work faster and stay more secure, making the internet a better experience for everyone.
Our focus is simple:
Cloud and Edge: Running apps closer to users for instant performance.
Security: Neutralizing threats before they ever reach your data.
Content Delivery: Scaling the world's biggest moments without a glitch.
AI: Enabling our customers to build, secure, and scale AI apps on the world's most distributed cloud platform.
At Akamai, we don't just support the internet; we power and protect it, because behind every great digital experience is a massive hidden challenge. And we're the ones who solve it. When millions of people hit play or pay, Akamai ensures it just works.

Benefits at Akamai

We support your health, well-being, finances, and life beyond work. See our benefits.

FlexBase adapts to your job's needs

Akamai's FlexBase program is yet another way we show our commitment to providing employees with an exceptional workplace experience. It's not about telling employees where to work; it's about supporting employees to do their best work.
We trust our incredible employees to work in ways that suit them best: at home, in an office, or a combination of both.