Are you passionate about building reliable, scalable cloud platforms and supporting cutting-edge cybersecurity products?

Join our Akamai Guardicore Data and AI Platform Team

You will work within a dedicated elite team managing and building a cloud-native DevOps platform that drives analytics, insights, and AI-driven features for Akamai Guardicore Segmentation. By building highly reliable and cost-effective infrastructure solutions, you will help process extensive security data, empowering our customers to understand their environments, minimize risks, and prevent threat proliferation.

Partner with the best

As a key member of our team, you will partner with Site Reliability Engineers, Data Scientists, and Security Engineers to build modern solutions to integral security challenges.

You will be responsible for:
- Platform Design: Designing, operating, and scaling highly available, secure Kubernetes platforms
- GitOps: Building and improving GitOps-based deployment processes using Argo CD, Helm, and related technologies
- Infrastructure as Code:



Developing reusable cloud infrastructure and automation frameworks utilizing Terraform
- Developer Experience: Enhancing CI/CD pipelines, developer workflows, and self-service platform capabilities
- System Optimization: Improving overall platform reliability, observability, security, performance, and cost efficiency
- Production Leadership: Leading complex production investigations and driving long-term architectural improvements

Do what you love

To be successful in this role you will:
- Demonstrate expertise in DevOps, platform engineering, SRE, or cloud infrastructure with proven ability to optimize and manage systems effectively.
- Demonstrate extensive production expertise with Kubernetes
- Have experience with GitOps, CI/CD, and Infrastructure as Code (IaC).
- Have experience with monitoring and observability tools such as Prometheus and Grafana
- Have scripting or programming experience using Python, Go, Bash, or si

📌 Senior DevOps (Madrid)
🏢 Akamai Career Site
📍 Madrid