Software Engineer, EngProd, GeminiApp, DeepMind

Software Engineer, EngProd, GeminiApp, DeepMind _corporate_fare_ DeepMind _place_ Mountain View, CA, USA **Minimum qualifications:** + Bachelor's degree in Computer Science or a related technical field or equivalent practical experience. + 5 years of experience in software development. + 5 years of experience testing, and launching software products. + 3 years of experience with software design and architecture. **Preferred qualifications:** + Experience establishing standards and quality metrics, continuous testing, continuous integration, and program management. **About the job** The GeminiApp EngProd team is dedicated to establishing a strong engineering productivity presence, specifically aimed at safeguarding and guiding the developer-to-production release journey, optimizing build and release pipelines, and leading test automation efforts. Artificial intelligence will be one of humanity’s most transformative inventions. At Google DeepMind, we are a pioneering AI lab with exceptional interdisciplinary teams focused on advancing AI development to solve complex global challenges and accelerate high-quality product innovation for billions of users. We use our technologies for widespread public benefit and scientific discovery, ensuring safety and ethics are always our highest priority. We are pushing the boundaries across multiple domains. Our global teams offer learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort. Individual pay is determined by factors including job-related skills, experience, and relevant education or training. US: $174000 - $253000 (USD) + 15% bonus target + equity + benefits Learn more aboutbenefits at Google (https://www.google.com/about/careers/applications/benefits/) . **Responsibilities** + Design, build, and deploy build/test infrastructure, frameworks, environments, and other build/test controls to improve developer effectiveness and efficiency from development to release. + Collaborate cross-functionally with product, design, and research teams to translate ambiguous requirements into concrete technical solutions that improve developer velocity and code quality. + Develop simple, reusable, and scalable code libraries and frameworks to accelerate product development velocity. + Iterate on product prototypes and features, balancing development velocity with a high standard of code quality and craft. 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