Dev and AI Infra Software Engineer, Releases
Google· Internet & Cloud Services· Aug 25, 2026 · 2mo agoPosted 63 days ago
San Jose, CA, USA
In office
Full-time
Staff
$167K–$235K est.
8+ years exp
Before you apply
Ghost Signal:
Open 63 days.
Job description
A line of code can be many things - an amazing feature, a beautiful UI, a transformative algorithm. The faster this line of code reaches millions of users, the sooner it impacts their lives. As a Software Engineer, Tools and Infrastructure, you will be at the heart of Google’s engineering process building software that empowers engineering teams to develop and deliver high quality products quickly. We are focused on solving the hardest, most interesting challenges of developing software at scale without sacrificing stability, quality, velocity or code health.
We ensure Google's success by partnering with engineering teams and developing scalable tools and infrastructure that help engineers develop, test, debug and release software quickly. We impact thousands of Googlers and billions of users by increasing the pace of product development and ensuring our products are thoroughly tested. We are advocates for code health, testability, maintainability and best practices for development and testing.
Having access to all of Google's platforms and vast compute resources provides a unique opportunity to grow as an engineer. We typically work in small, nimble teams that collaborate on common problems across products and focus areas. As a result, the exposure to this broad set of problems provides technical challenges as well as accelerated career growth.
The XR Engprod - Dev and AI Infra team boost XR Developer experience and velocity with AI-powered infrastructure and workflows that autonomously support dev-test-release cycles and operations. We support developers, partners and stakeholders to deliver on a regular cadence, with maximum velocity and trust.
For decades, the computing revolution has reshaped our world driven by
breakthroughs in compute, connectivity, mobile, and now, AI. Google's XR
team is at the forefront of the next major leap – the convergence of AI and XR. This is more than just new devices – it's about reimagining how we interact with the world around us. We're building a future where lightweight XR devices like smart glasses and headsets pair with helpful AI to augment human intelligence, offering personalized, conversational, and contextually aware experiences.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) + 20% bonus target + equity + benefits
Learn more about benefits at Google .
• Design, implement, deploy, maintain, enhance and stay abreast of the latest complex software solutions that improve the developer workflow, code quality, and release velocity.
• Lead the technical design and implementation of projects, making key architectural and technical decisions to scale the build and release infra and ship XR software updates to the external partners/end users.
• Define and track metrics to measure the impact of tools and process improvements on developer productivity and system health, increasingly leveraging AI/ML.
• Develop and integrate AI-powered features into developer tools to assist with code generation, code review, test generation, bug detection/triaging, and more.
• Collaborate with various engineering teams to understand their needs, gather requirements, and drive the adoption of new tools and best practices. Contribute to and lead design reviews, code reviews, and discussions on system architecture.
• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python, Java, Go, or C++.
• 5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
• 3 years of experience with software design, development and architecture.
• Experience applying AI/ML techniques to software engineering problems.
Minimum qualifications:
• Bachelor's degree or equivalent practical experience.
• 8 years of experience programming in Python, Java, Go, or C++.
• 5 years of experience in developing developer tools, automation frameworks, testing infrastructure, or CI/CD and release systems.
• 3 years of experience with software design, development and architecture.
• Experience applying AI/ML techniques to software engineering problems.
Preferred qualifications:
• Expertise in Large Language Models (LLMs), and experience with platforms/tools like Gemini or other AI-driven development assistants.
Application prep
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