Senior Software Engineer, Search Infrastructure

Yahoo is a trusted guide for millions of users globally, helping them achieve their online goals through iconic products. The Senior Software Engineer, Search Infrastructure will design and operate scalable backend systems to enhance the reliability and efficiency of Yahoo's Search platform.

Responsibilities:

• Design, build, and operate highly scalable backend systems and infrastructure that power critical Search platform services
• Develop and maintain Search edge infrastructure responsible for request validation, traffic routing, origin mapping, traffic analysis, bot detection, and platform security
• Improve system scalability, reliability, latency, observability, and operational efficiency across large-scale distributed systems
• Operate production services in AWS and Kubernetes environments, including monitoring, debugging, incident response, deployment automation, and performance optimization
• Explore and apply AI-assisted development workflows to improve engineering efficiency, automation, and operational effectiveness
• Contribute to CI/CD pipelines, infrastructure automation, and developer productivity improvements
• Collaborate cross-functionally with Search, Product, Infrastructure, Editorial, and Operations teams to deliver scalable platform solutions
• Participate in technical design discussions, architecture reviews, and continuous platform improvements
• Collaborate with and provide technical expertise to team members across different components and technology stacks within the Search platform

Requirements:

• Bachelor's or Master's degree in Computer Science or a related field; or equivalent experience
• 5+ years of professional experience building large-scale, highly scalable backend systems
• Strong programming skills in one or more of the following languages: C++, Python, or Go. Experience with Java or Rust is a plus
• Experience designing, building, and operating highly scalable distributed backend systems
• Strong understanding of microservices, cloud-native architectures, and Kubernetes-based deployments in AWS environments. Experience with Google Cloud Platform (GCP) is a plus
• Experience with observability, monitoring, debugging, incident response, and production operations for large-scale services
• Familiarity with CI/CD systems, automation tooling, and modern software development practices
• Strong problem-solving skills and the ability to work effectively in collaborative engineering environments
• Experience working on edge infrastructure, API gateways, reverse proxies, traffic routing, or high-performance networking systems
• Experience building low-latency, high-QPS distributed systems at scale
• Experience with traffic analysis, bot detection, request filtering, or platform security systems
• Experience with Kubernetes, containerized workloads, and cloud-native infrastructure tooling
• Experience with applying AI-assisted tools and workflows to software engineering, troubleshooting, and infrastructure operations