Minimum qualifications:- Bachelor's degree or equivalent practical experience.
- 8 years of experience in software development.
- 7 years of experience with full stack development, across back-end such as Java, Python, GO, or C codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
- 5 years of experience with design and architecture; and testing/launching software products.
- 3 years of experience with Generative AI Agents.
Preferred qualifications:- Master's degree or PhD in Engineering, Computer Science, or a related technical field.
- 8 years of experience with data structures and algorithms.
- 5 years of experience in a technical leadership role leading project teams and setting technical direction.
- 3 years of experience working in a complex, matrixed organization involving cross-functional, or cross-business projects.
About the jobWith your technical expertise you will manage project priorities, deadlines, and deliverables. You will design, develop, test, deploy, maintain, and enhance software solutions.
Google Photos is a photo sharing and storage service developed by Google. Photos is one of the most sought after products at Google and is looking for both client-side (web and mobile), with server-side (search, storage, serving) and machine intelligence (learning, computer vision) Software Engineers. We are dedicated to making Google experiences centered around the user.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $262000 - $364000 (USD) 25% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities - Define and steward the long-term engineering goal, technical strategy, and architectural roadmap for critical ellmann domains, ensuring scalability, resilience, and alignment with broader company goals.
- Develop in highly ambiguous environments, translating vague product concepts and high-level business objectives into concrete, executable technical frameworks and production-ready realities.
- Act as a high-velocity catalyst for Generative AI product features. Prototype and validate zero-to-one concepts rapidly to get tangible proof-of-concepts in front of leadership and development teams.
- Lead/partner technical engagements with key first-party teams (e.g., GDM, Search) to design, align on, and co-develop infrastructure solutions.
- Translate technical architectures into clear, compelling narratives for both executive leadership and engineering teams.
