Software Engineer, Early Career, Google One

Google•Apply•Published 17 hours ago•First seen 17 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.

Google One (G1) is Google's membership for personal cloud storage and Google's cutting-edge AI features. G1 is one of Google's fastest growing subscriptions, with over 150 million subscribers. This is a unique opportunity to be part of a high-impact team, shaping the future of our subscriber experiences, premium features and business growth initiatives.

Responsibilities

Collaborate cross-functionally to design, build and deploy improvements to Google One's signup flows.
Work with other engineers to continuously improve our software components and infrastructure.
Engage with other teams, including in India and the USA, to create a cohesive user experience.
Identify, triage, debug, track and resolve issues in existing code.
Help ensure users' continued trust in Google.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.
Experience with software development in one or more programming languages, or experience with an advanced degree.

Preferred qualifications:

Master's degree or PhD in Computer Science, or a related technical field.
Experience with data structures and algorithms in either an academic or industry setting.
Experience developing accessible technologies.
Ability to pursue product and technical issues across organizational boundaries to deliver results.
Interest in the life cycle of subscriptions, including conversion, activation, and expansion.