Software Engineer III
Google· enterprise· Internet & Cloud Services· Jul 22, 2026 · 3mo agoPosted 97 days ago
Sunnyvale, CA, USA
In office
Full-time
Mid
$125K–$169K est.
2+ years exp
Before you apply
Ghost Signal:
Open since July 22, 2026 — 97 days, and still accepting applications.
Job description
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.
Join our team of experts in Generative AI and BigQuery to design next-generation software services that will revolutionize the intersection of data analytics and artificial intelligence. Collaborate with a team of innovators to research, explore, and develop cutting-edge solutions that will bring the power of ML and GenAI to the forefront of GCP Data Analytics.
We are seeking passionate individuals with a deep understanding of data, AI, and ML to join our mission.
Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $147000 - $211000 (USD) + 15% bonus target + equity + benefits
Learn more about benefits at Google .
• Write product or system development code.
• Participate in, or lead design reviews with peers and stakeholders to decide amongst available technologies.
• Review code developed by other developers and provide feedback to ensure best practices (e.g., style guidelines, checking code in, accuracy, testability, and efficiency).
• Contribute to existing documentation or educational content and adapt content based on product/program updates and user feedback.
• Triage product or system issues and debug/track/resolve by analyzing the sources of issues and the impact on hardware, network, or service operations and quality.
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, or storage architecture.
• Experience with Python, machine learning, generative AI, and enterprise infrastructure.
• Experience in applying AI to build and deploy products powered by AI/ML or large language models.
• Experience with Google Cloud Platform (GCP) services especially Data Analytics Services and Vertex AI.
Minimum qualifications:
• Bachelor’s degree or equivalent practical experience.
• 2 years of experience with software development or 1 year of experience with an advanced degree in an industry setting.
• 2 years of experience with developing large-scale infrastructure, distributed systems or networks, or experience with compute technologies, or storage architecture.
• Experience with Python, machine learning, generative AI, and enterprise infrastructure.
• Experience in applying AI to build and deploy products powered by AI/ML or large language models.
• Experience with Google Cloud Platform (GCP) services especially Data Analytics Services and Vertex AI.
Preferred qualifications:
• Master's degree or PhD in Computer Science or related technical fields.
• Experience in one or more of the following areas: Data Analytics, BigQuery, Evaluations, Statistical Analysis, Inference.
Application prep
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Keywords to mirror
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