Senior Software Engineer, Full Stack

Google; San Jose (CA); On-site; USD 174,000 - 252,000; Full time

Benefits offered by this job

Equity

Bonus target 15%

Benefits

Job summary

Google is seeking a Senior Software Engineer to drive architectural direction for core platform capabilities and Gemini agent infrastructure. You will lead end-to-end design and execution of complex systems, mentor engineers, and collaborate across cross-functional teams to enable scalable, agent-driven operations.

The role emphasizes building extensible APIs, production-grade reliability, and safe, enterprise-grade software across the full stack.

Qualifications

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

Responsibilities

• 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).

Skills

Python

Go

Java

Kotlin

C++

LLMs / Generative AI

Distributed systems

Full-stack development

Education

Bachelor's degree in Computer Science or related field

Master's degree in Computer Science

PhD in Computer Science

Tools

Angular

Gemini Agents

Job description

In most instances, this position requires in-person interviews as part of the hiring process.

Minimum qualifications:

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

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• Experience developing accessible technologies.
• Experience in building and architecting ML systems and infrastructure (e.g., for model training, evaluation, deployment, serving).
• Experience implementing AI algorithms to address computational problems.

About The Job

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 Senior Software Engineer, you will provide technical leadership and drive the architectural direction of core platform capabilities leveraging Google’s full stack and advanced Gemini agent infrastructure. You will lead the design and end-to-end execution of complex, high-impact systems spanning rapid development platforms and production shepherding workflows, establishing robust standards for seamless human-agent collaboration and automated release governance.

In this role, you will overcome ambiguous technical challenges, mentor junior engineers, and partner closely with cross-functional teams to define extensible APIs and integration frameworks. Your contributions will directly amplify engineering velocity across Google, automate compliance and launch safety at scale, and set the benchmark for enterprise-grade, agent-driven operations.

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

Responsibilities

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).

Google is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.