Staff Software Engineer, Full Stack, Google Fi

Google•Apply•Published 4 hours ago•First seen 4 hours ago

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.

In this role, you will be leading the initiative for growth using algorithms and optimization techniques.

Google Fi Wireless leverages the best of Google to deliver simple and secure mobile connectivity. Our team is responsible for the entire subscriber journey, from plan selection and device activation to providing award-winning coverage around the world. Our team's deep expertise spans cellular network operations, iOS and Android app development, and subscription business operations.

The Fi team applies Google's AI to solve complex, real-world problems - from AI-enhanced call audio to AI billing summaries to AI-powered cohort analysis - that helps Google Fi customers stay reliably connected to what’s most important to them.

The Fi team is committed to providing team members with the opportunity to build their applied AI skillset, so that all Fi subscribers can benefit from the best of Google's AI models.

The US base salary range for this full-time position is $197,000-$291,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

Lead, design, develop, and maintain high-quality, scalable, and reliable infrastructure and products.
Drive and participate in the design, development, and delivery of AI/ML and agentic solutions for the product.
Lead engineering excellence on the commerce platform, focusing on performance, reliability, monitoring, and testing.
Define long-term strategy, drive technical direction, and guide the team to execute projects from ambiguous requirements to high-impact deliverables.
Collaborate with data science, product management, and other cross-functional leaders to define the technical roadmap for the product.

Minimum qualifications:

Bachelor's degree or equivalent practical experience.
8 years of experience in software development.
5 years of experience with full stack development, across back-end such as Java, Kotlin, or Python codebases, and front-end experience including TypeScript or equivalent.
5 years of experience testing, and launching software products.
3 years of experience with software design and architecture.

Preferred qualifications:

Master’s degree or PhD in Engineering, Computer Science, or a related technical field.
8 years of experience building end-user-facing products.
3 years of experience in ML design and optimizing ML infrastructure (e.g., model deployment, model evaluation, data processing, debugging, fine tuning).
Experience working with cross-functional leaders including product managers, data scientists, and UX designers across the globe.
Excellent technical leadership skills, with the ability to define ideas, strategies, and priorities.
Excellent technical communication and collaboration skills.