About the job

Google's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to manage information at a massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.

In this role, you will drive the reliability of Search Serving Infrastructure for large-scale evaluations of next-generation AI experiences like AI Overviews and AI Mode. You will provide stable, noise-free environments, unlocking rapid iteration and launch velocity for thousands of developers in a fast-paced environment.

In this role, you will serve as a technical leader, comfortable navigating ambiguity to own and implement solutions for complex serving stack determinism, taint elimination, and actionable error attribution challenges within a distributed, high throughput evaluation ecosystem.In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve engineering issues and expand our infrastructure, while maintaining a universally accessible and useful experience that people around the world rely on. In joining the Search team, you'll have an opportunity to make an impact on billions of people globally.

Responsibilities

• Lead the technical strategy and implementation of solutions to reduce noise, minimize taint, improve determinism within the Search serving stack (QRS, QRewrite, MaRS, Muppet).

• Drive the architectural evolution of the evaluation serving stack to support emerging multi-modal, multi-turn flow requirements, while collaborating with partner teams across Search Serving, Search Intelligence, Search Evals, Search AI Infra to diagnose and resolve issues affecting eval fidelity.

• Establish best practices for determinism within serving components (e.g., Superroot, MaRS) to minimize product non-determinism in production-like evaluation environments.

• Mentor and provide technical guidance to fellow engineers on the team, and contribute to the team's on-call rotation to support the stability of the eval environment.

• Own and drive the reliability program for Gemini model release cycles, AIO/AIM launches, co-ordinating dependencies across infrastructure and evaluation teams to ensure high-stability and high-utility signals.

Minimum qualifications

• Bachelor’s degree or equivalent practical experience.

• 5 years of experience with software development in one or more programming languages.

• 3 years of experience testing, maintaining, or launching software products, and 1 year of experience with software design and architecture.

• Experience with large-scale C++/Java serving systems and distributed system observability (e.g., Dapper traces, Monarch metrics).

• Experience working on system-wide reliability or performance initiatives.

• Experience designing infrastructure systems for various applications, and evaluating and selecting infrastructure components.

Preferred qualifications

• Master's degree or PhD in Computer Science or related technical field.

• Experience as a technical leader with a track record of delivering results and making progress in an ambiguous problem space, and driving technical strategy and road map development.

• Ability to demonstrate technical leadership, mentor and grow other engineers, navigate technical ambiguity and drive consensus among multiple partner teams with competing priorities.