Site Reliability Engineer
Role details
Job location
Tech stack
Job description
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 Senior 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.
Requirements
- 5+ 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 extensive production expertise 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.