Staff Software Engineer, Search Production Intelligence

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 handle information at 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.

With your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
In Google Search, we're reimagining what it means to search for information – any way and anywhere. To do that, we need to solve complex engineering challenges 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.

• Lead the way on reliability for Search's newest product experiences (e.g., Artificial Intelligence (AI) Mode, AI Overviews, multimodal and agentic journeys).
• Own the technical direction for one or more production intelligence areas: agentic operations, real-time feature monitoring, user-perceived reliability and reliability insights. Set a multi-quarter roadmap.
• Influence and coach a distributed team of engineers.
• Scale agentic operations across Search binaries and rotations. Author and evolve reusable skills, measure agent quality in production, and close the loop so the system gets better with every incident.
• Manage project priorities, deadlines, and deliverables. Design AI-native solutions by default. Treat Large Language Models (LLMs), agents and skills as first-class building blocks for detection, noise reduction, triage, root-causing, culprit-finding and remediation.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 8 years of experience in software development.
• 5 years of experience building and developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, storage, or hardware architecture.
• Experience designing, building, and operating large-scale distributed systems, with scalability, fault tolerance, and reliability.
• Experience in software engineering, software infrastructure engineering, security, Big Data and analytics, or cloud networking.
• Experience building with LLMs, agents, tools or AI-assisted developer workflows. Experience with AI solutions with real production or operational use.

Preferred qualifications:

• 8 years of experience with data structures and algorithms.
• 3 years of experience in a technical leadership role leading project teams and setting technical direction.
• 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
• Experience with monitoring, alerting, anomaly detection, incident management or Site Reliability Engineering (SRE) practices, including defining Service Level Indicator/Service Level Objective (SLIs/SLOs).
• Experience evaluating non-deterministic, Machine Learning (ML) or generative systems.
• Proficiency in one or more of C++, Java, Go or Python, and experience working in large production codebases.