Teams at Akamai Technologies

Develop machine learning models and detection rules for web security products. Analyze large datasets to distinguish legitimate from fraudulent traffic, improve detection accuracy, support production data workflows, troubleshoot distributed systems, and provide insights that guide product improvements and strategy.

Designs end-to-end architectures and high-level designs for web security products and features, spanning configuration, reporting, runtime systems, analytics, and attack detection. Collaborates with product management and cross-functional teams to define requirements, guides engineering implementation, presents designs, and contributes security product expertise and technical roadmap direction.

Develop and maintain automated tests, testing frameworks, and CI/CD pipelines for cloud-native Kubernetes platforms. Validate scalable architectures, troubleshoot automated test failures, collaborate with engineering teams in Agile environments, and help establish testing best practices. The role requires Python and Pytest automation experience, Kubernetes and cloud-native production service testing, Linux and networking knowledge, security principles, and two years of relevant experience.