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Salary
≈ $152k – $280k per year (Estimated)
Location
In office (Sunnyvale)
Seniority
Senior · 5+ years exp

Confirmed on the employer's own hiring board on Oct 9, 2026. First seen by Alion on Oct 8, 2026. Google scores B on the Alion truth index.

Overview
Company
Impact
Profile match
Google is an American technology company founded in 1998 by Larry Page and Sergey Brin and now the principal subsidiary of Alphabet, headquartered in Mountain View, California. It operates the world's dominant search engine and the advertising system built around it, along with YouTube, Android, Chrome, Gmail, Maps, Workspace and Google Cloud, reaching billions of users across nearly every internet-connected market. The company designs its own silicon in the Tensor Processing Unit line, develops the Gemini foundation models through Google DeepMind, and derives most of its revenue from advertising while cloud has become its fastest growing segment.

About the job

Google Cloud's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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.

AlloyDB is a fully-managed, PostgreSQL-compatible database for demanding transactional workloads. AlloyDB provides high performance, industry-leading SLAs, and no downtime for maintenance.

We are pioneering GenAI and LLM solutions, seamlessly integrated with AlloyDB to unlock the full potential of AlloyDB for cloud customers and internal engineering teams.

We push the boundaries of how Vector Search DBs are being used by our customers, with AI query engine we introduce a whole new way of leveraging these databases and developing a next-generation benchmarking platform to ensure AlloyDB's vector operations perform at their absolute peak.

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: $174000 - $252000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.

Responsibilities

  • Write and test 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.

Qualifications

Minimum qualifications:

  • Bachelor’s degree or equivalent practical experience.
  • 5 years of experience in software development using C++ or Go.
  • 3 years of experience designing and developing infrastructure or distributed systems.
  • 1 year of experience leveraging AI tools or frameworks to accelerate development and engineering productivity.
  • Experience designing and developing relational databases, database internals, information retrieval, query planning and execution.

Preferred qualifications:

  • Master's degree or PhD in Computer Science or a related technical field.
  • 3 years of experience in a technical leadership role.
  • Experience designing/building Agentic-AI systems and applications, with an understanding of core-systems and application-architecture.
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