Senior Software Engineer at Google Health in Mountain View, United States. Responsibilities include designing and implementing agentic architecture, tools, and features that enable scalable, low-latency data access and analysis to ground users' longitudinal health, biometric, and fitness data. Write production-grade code and evaluation tools to support secure data retrieval layers and investigative capabilities. Identify product gaps and propose architectural enhancements that improve long-term scalability and maintainability. Collaborate with Product Managers, UX Designers, and frontend engineers to refine the user experience and resolve cross-functional technical issues. Mentor junior engineers and conduct design and code reviews to uphold engineering standards. Minimum qualifications include a Bachelor's degree or equivalent practical experience and at least 5 years of experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, or Go). Preferred qualifications include a Master's degree or PhD in Computer Science or related fields, 5 years of experience with data structures and algorithms in academic or industrial settings, experience developing accessible technologies and in code and system health, diagnosis and resolution, and software test engineering, and experience developing Generative AI Agents. Compensation in the US ranges from $174000 to $252000 (USD) plus a 15% bonus target, equity, and benefits.

Senior Software Engineer at Google Health in Mountain View, United States. Responsibilities include designing and implementing agentic architecture, tools, and features that enable scalable, low-latency data access and analysis to ground users' longitudinal health, biometric, and fitness data. Write production-grade code and evaluation tools to support secure data retrieval layers and investigative capabilities. Identify product gaps and propose architectural enhancements that improve long-term scalability and maintainability. Collaborate with Product Managers, UX Designers, and frontend engineers to refine the user experience and resolve cross-functional technical issues. Mentor junior engineers and conduct design and code reviews to uphold engineering standards. Minimum qualifications include a Bachelor's degree or equivalent practical experience and at least 5 years of experience with one or more general purpose programming languages (e.g., Java, C/C++, Python, or Go). Preferred qualifications include a Master's degree or PhD in Computer Science or related fields, 5 years of experience with data structures and algorithms in academic or industrial settings, experience developing accessible technologies and in code and system health, diagnosis and resolution, and software test engineering, and experience developing Generative AI Agents. Compensation in the US ranges from $174000 to $252000 (USD) plus a 15% bonus target, equity, and benefits.