Staff Software Engineer, Search Production Intelligence
Google · Posted Nov 7
Search engine, cloud computing, software, hardware, and artificial intelligence services
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About the role
Google Search reimagines what it means to search for information and builds infrastructure for universally accessible experiences relied on by billions. The team works on large-scale distributed systems, AI Mode, AI Overviews, multimodal and agentic journeys, and production intelligence. This Staff Software Engineer will lead reliability, set technical direction for production intelligence areas, scale agentic operations, and design AI-native solutions using LLMs and agents.
What you will do
- 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.
Skills used in this role
What the employer is looking for
- 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.
Benefits and support
- Compensation and benefits are detailed in the job posting
About Google
Google LLC is an American multinational technology company focusing on artificial intelligence, online advertising, search engine technology, cloud computing, computer software, quantum computing, e-commerce, and consumer electronics. As a subsidiary of Alphabet Inc., it is widely recognized for services like Google Search, YouTube, Android, and the Gemini AI ecosystem.
- Industry
- Internet
- Company size
- 180000+ employees
- Founded
- 1998-09-04
- Location
- Mountain View, California, USA
- Funding stage
- Public Company
Funding
Public Company · $25M raised
- 1999-06-07Series A$25M
Leadership
Chief Executive Officer
Senior Vice President and Chief Financial Officer
Senior Vice President and Chief Business Officer
Chief Executive Officer, Google Cloud
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