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Senior Software Engineer, Search Infrastructure

Job in Baltimore, Anne Arundel County, Maryland, 21276, USA
Listing for: Yahoo Holdings Inc.
Full Time position
Listed on 2026-07-08
Job specializations:
  • Software Development
    Cloud Engineer - Software, Backend Developer, DevOps
Salary/Wage Range or Industry Benchmark: 128250 - 266875 USD Yearly USD 128250.00 266875.00 YEAR
Job Description & How to Apply Below

Yahoo serves as a trusted guide for hundreds of millions of people globally, helping them achieve their goals online through our portfolio of iconic products. For advertisers, Yahoo Advertising offers omnichannel solutions and powerful data to engage with our brands and deliver results.

A Little About Us

Yahoo Search powers experiences used by millions of users globally every day. Our Search Platform team builds and operates critical infrastructure that powers Search reliability, scalability, security, and operational efficiency across the Search ecosystem.

We are a small but highly impactful engineering team responsible for foundational systems across the Search stack, including Search edge infrastructure, middleware orchestration systems, configuration management platforms, and internal operational tooling.

Our systems run on AWS cloud infrastructure with Kubernetes-based deployments, requiring strong focus on distributed systems engineering, operational excellence, reliability, and low‑latency performance.

We are looking for engineers who enjoy solving large‑scale infrastructure challenges, operating mission‑critical systems, and building highly scalable backend platforms.

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.
Qualifications
  • 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.
Preferred Qualifications
  • 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.

The material job duties and responsibilities of this role include those listed above as well as adhering to Yahoo policies; exercising sound judgment; working effectively, safely and inclusively with others; exhibiting trustworthiness and meeting expectations; and safeguarding business…

Position Requirements
10+ Years work experience
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