Photos Mission Tech Lead, Applied AI, Full Stack

Google; Mountain View (CA); On-site; USD 262,000 - 364,000; Full time

Job summary

Google is seeking software engineers to build next-generation technologies at scale. You will work across back-end and front-end layers, contributing to AI-enabled features and large distributed systems.

Responsibilities include designing, testing, deploying, and maintaining software, with opportunities to shift teams as the company grows. Individual pay includes equity, bonus, and benefits.

Qualifications

• Bachelor's degree or equivalent practical experience required.
• 8 years of software development experience required.
• 7 years full stack development across backend and frontend technologies.
• 5 years in design and architecture; testing/launching software products.
• 3 years experience with Generative AI Agents.

Responsibilities

• Define and steward long-term engineering goals and architectural roadmap for critical domains.
• Develop in ambiguous environments, translating concepts into executable technical frameworks.
• Lead Generative AI product features and prototype fast for leadership review.
• Lead technical engagements with key teams to design and co-develop infrastructure.
• Translate architectures into clear narratives for executives and engineers.

Skills

Full stack development

Software design & architecture

Generative AI agents

Backend: Java/Python/Go/C++

Frontend: JavaScript/TypeScript/HTML/C

Education

Bachelor's degree or equivalent practical experience

Master’s degree or PhD in Engineering, CS or related field

Tools

Java

Python

Go

JavaScript/TypeScript

HTML/CSS

Job description

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 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.

With 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

Responsibilities

Learn more about benefits at Google .

• 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.

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 .