Senior Software Engineer, Full Stack, Google Labs

Senior Software Engineer, Full Stack, Google Labs

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.

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages.
• 3 years of experience with full stack development, across back-end such as Java, Python, Golang, or C++ codebases, and front-end experience including JavaScript or TypeScript, HTML, CSS or equivalent.
• 3 years of experience testing, maintaining, or launching software products.
• 1 year of experience with software design and architecture.

Preferred qualifications:

• Master's degree or PhD in Computer Science or related technical field.
• 5 years of experience with data structures and algorithms.
• 1 year of experience in a technical leadership role.
• Experience developing accessible technologies.

Responsibilities

• Architect, implement, and ship end-to-end experimental software prototypes—from backend models and infrastructure to client interfaces—moving from whiteboard to live prototype in days, not quarters.
• Own project direction in uncharted problem spaces with minimal supervision, translating open-ended research ideas and product hypotheses into crisp technical requirements and roadmaps.
• Run high-velocity user-facing experiments; objectively evaluate product signal, ruthlessly unblock bottlenecks, and seamlessly pivot technical direction or adopt entirely new tech stacks as projects evolve or wind down.
• Work directly in tight, high-trust pods alongside Research Scientists, Product Managers, and UX Designers to co-design novel user interactions and push the boundaries of frontier AI.
• Balance rapid speed to market with foundational code quality, ensuring prototypes are built reliably enough to gather signal while knowing when to build lightweight vs. enterprise-hardened solutions.