Software Engineer II, Sustainability, Full Stack

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.At Google, our users come first, and the Systems Infrastructure team is at the heart of that promise. We build the technologies that transform the way we think about doing business. Whether working on our cloud systems, researching the latest in computer technology or keeping Google's internal systems humming, Googlers and users alike rely on us to keep things running. We're back-end experts: protecting your privacy and ensuring your security.

Work with cross-functional team dedicated to the pursuit of sustainability in Real World Journeys (RWJ).

Collaborate with the broader RWJ team, as well as Google Research, to land well-established contrails research as a real-world product that helps airlines avoid contrails at global scale.

Engage with multiple levels of the stack, including large data pipelines, AI model training and ML Ops, frontend UI development, and API development.

Manage an end-to-end project within a larger organization, applying full-stack experience.

Be an expert on AI. Discuss your knowledge and use of AI tools during the hiring process.

Minimum qualifications:

Bachelor’s degree or equivalent practical experience.

1 year of experience with software development in one or more programming languages (e.g., Python, C, C++, Java, JavaScript).

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.

Experience in experiment Design, Data Analysis, Artificial Intelligence.

Experience with data structures and algorithms.

Preferred qualifications:

Master's degree or PhD in Computer Science or related technical field.

Experience developing accessible technologies.

Experience in backend coding languages such as GOLang, Rust, or Java.

Experience in ML model coding languages (e.g., Python).