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Google

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Senior Software Engineer, Full Stack

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Summary

Senior full-stack engineer on Google's Core team building internal developer-platform tooling and human-in-the-loop control interfaces for Gemini-powered AI agents, owning features end to end from Angular frontends to Python/Go/Kotlin backend services to boost developer velocity and safe agent-driven operations.

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.

As a Software Engineer, you will make significant, largely independent technical contributions to drive the core infrastructure using Google full stack and AI agents using Gemini infra. You will own end-to-end features spanning rapid development tooling and production shepherding workflows, creating seamless human-agent collaboration mechanisms.

Your work will directly accelerate developer velocity, simplify compliance and release management, and scale safe, agent-driven operations across Google.

The Core team builds the technical foundation behind Google’s flagship products. We are owners and advocates for the underlying design elements, developer platforms, product components, and infrastructure at Google. These are the essential building blocks for excellent, safe, and coherent experiences for our users and drive the pace of innovation for every developer. We look across Google’s products to build central solutions, break down technical barriers and strengthen existing systems. As the Core team, we have a mandate and a unique opportunity to impact important technical decisions across the company.

Individual pay is determined by factors including job-related skills, experience, and relevant education or training.

US: $147000 - $210000 (USD) + 15% bonus target + equity + benefits

Learn more about benefits at Google.
  • Lead and participate in technical design reviews, system reliability improvements, and documentation.
  • Design and build extensible platform capabilities for rapid application scaffolding, interactive canvases, and live preview environments using Full stack tech stack and Gemini Agents.
  • Design human-in-the-loop (HITL) interfaces and operational panes to give engineers transparent control over production-bound agents.
  • Build robust frameworks, APIs, and grounding pipelines integrating core internal systems to maximize agent accuracy and context.
  • Implement scalable, high-quality features across the entire stack, from frontend user interfaces (Angular) to backend services (Gemini, Python, Go, Kotlin, Angular).

Minimum qualifications:

  • Bachelor's degree in Computer Science, a related technical field, or equivalent practical experience.
  • 2 years of experience with software development in one or more programming languages (e.g., Python, Go, Java, Kotlin, C++).
  • Experience in system design, system architecture, distributed systems, software engineering, and full-stack development.
  • Experience building and deploying generative AI agents or applications powered by Large Language Models (LLMs).

Preferred qualifications:

  • Master's degree or PhD in Computer Science or related technical field.
  • Experience in building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
  • Experience in Generative AI, agentic systems, and LLM-powered developer tools.
  • Experience with developer tooling, release orchestration, or SRE/production deployment workflows.

Skills

See also

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