Senior Software Engineer, Data Strategy & Acquisition in Cloud AI Full-time

Minimum qualifications:

• Bachelor’s degree or equivalent practical experience.
• 5 years of experience with software development in one or more programming languages, and with data structures/algorithms.
• 3 years of experience with full stack development, across back-end such as Java, Python, or C codebases.
• 3 years of experience testing, maintaining or launching software products, and 1 year of experience with software design and architecture.

Preferred qualifications:

• Master’s degree or PhD in Engineering, Computer Science, or other technical related field.
• Experience developing accessible technologies.
• 1 year of experience in a technical leadership role.

About the job

Google Cloud’s software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. 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 Cloud’s needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. You will anticipate our customer needs and be empowered to act like an owner, take action and innovate. 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 Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s cutting-edge technology, and tools that help developers build more sustainably. Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner to enable growth and solve their most critical business problems.

Responsibilities

• Scope and define end-to-end workflows in the Cloud AI area.
• Build backend/back-office and UI solutions for all aspects of our mission.
• Develop or adapt an internal data management platform for the datasets used across Cloud AI.
• Manage relationships with internal teams who are consuming the data and adapt to their changing requirements over time.