Principal Full-stack Engineer – AI Tooling

Job Description

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. Yahoo is seeking a Principal Engineer with a strong full-stack background and exceptional skills in backend architecture, APIs, automation, and infrastructure.

In this pivotal role, you’ll drive the end-to-end development of critical tooling, backend services, APIs, and internal systems to enhance Yahoo’s design system. Your work will enable cross-team efficiency and elevate developer productivity across multiple squads. Primary Focus: Developing comprehensive end-to-end tooling, APIs, automation systems, and backend infrastructure. Building robust backend services using Node.

js, TypeScript, and PostgreSQL. Responsibilities: Design, develop, and maintain scalable backend services, ensuring reliability and performance.

Build and evolve APIs, command-line interfaces (CLI), and internal developer tools that streamline system interactions. Implement and maintain automation pipelines to accelerate development workflows and reduce manual overhead. Manage and enhance infrastructure services including databases, cloud hosting, logging solutions, and system monitoring metrics.

Contribute significantly to configuration management systems and integrations with cutting-edge AI tooling. Closely collaborate with UI engineers, effectively bridging backend logic with front-end applications to deliver seamless user experiences. Qualifications: Familiarity with React.

js and front-end development concepts. Extensive experience with backend development, primarily Node.

js and TypeScript. Proficiency with PostgreSQL or comparable relational databases. Deep understanding of RESTful API design and development.

Demonstrated expertise in building automated CI/CD pipelines and scripting. Experience with cloud infrastructure management (AWS, Azure, or GCP). Strong competency in system architecture, particularly in high-availability environments.

Solid background integrating AI tooling or configuration systems is highly preferred. Desired Strengths: Interest and experience in exploring and integrating artificial intelligence (AI) solutions to enhance tooling and automation systems. Expert-level knowledge in backend architecture, APIs, and tooling.

Proven ability to support and enable multiple cross-functional squads. High-impact contributions to system performance optimization, automation efficiency, and developer experience enhancements. Exceptional problem-solving, communication, and technical leadership capabilities.

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