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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Dev and AI Infra Software Engineer, Release and Test Infra, XR - **Company:** Google LLC - **Location:** San Jose, CA, United States - **Experience:** Experienced - **Salary:** $207,000.0 - $300,000.0 - **Contract:** Permanent contract - **Skills:** Java (Programming Language), Artificial Intelligence, Bioinformatics, C++ (Programming Language), Code Generation, Software Quality, Code Review, Continuous Integration, Programming Tools, Python (Programming Language), Machine Learning, Software Engineering, Software Systems, Systems Architecture, Large Language Models, Google Gemini, Golang - **Published:** October 14, 2026 - **Apply:** https://www.sanjosejobsite.com/job.asp?id=3445792091&tx=JP5751FFL&pt=1&aff=0B19D771-A501-4A5E-8338-2A822B784D54&utm_source=Job%20Feed&utm_medium=textkernel&utm_campaign=DE&utm_term=0B19D771-A501-4A5E-8338-2A822B784D54 ## About the Role Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders; deep expertise in domain. Share Dev and AI Infra Software Engineer, Release and Test Infra, XR, * 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. * Expertise in branch and release infrastructure management. ## Description * 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 infrastructure and ship XR software updates to external partners and 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 and triaging, and more. * Collaborate closely with various engineering teams to understand their needs, gather requirements, and drive the adoption of new tools and best practices. 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