{"schemaVersion":"jobsearcher.job.v1","id":"741c78c3d43d85790320c178","url":"https://jobsearcher.com/jobs/741c78c3d43d85790320c178","canonicalUrl":"https://jobsearcher.com/jobs/741c78c3d43d85790320c178","title":"Staff Software Engineer, Gemini App, Data Engineering, DeepMind","description":"In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n\nHealth, dental, vision, life, disability insurance\nRetirement Benefits: 401(k) with company match\nPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment\nSick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks\nBaby Bonding Leave: 18 weeks\nHolidays: 13 paid days per year\n\nNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.\nMinimum qualifications:\nBachelor's degree in Computer Science or related technical field, or equivalent practical experience.\n8 years of experience in software development.\n\nPreferred qualifications:\nExperience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure.\nExperience developing, debugging, and supporting large-scale data pipelines.\nExperience with distributed data processing frameworks and workflow orchestration tools.\nExperience in Go/C++.\nExperience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer.\nAbility to address daily business data requirements, ensure that development obstacles are cleared to maintain the Gemini App's changing growth.\nAbout the job\nThe Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformative, global product during a time of massive growth!\nGemini’s user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale.\n\nLeveraging your experience in building and running scalable systems, and utilizing modern data warehouse infrastructure at Google, you will lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps’s analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product.\nArtificial 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.\n\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $207000 - $301000 (USD) + 20% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nWork closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse.\nArchitect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops.\nOwn data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets.\nMentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback.\nDrive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","company":"Deepmind","rawCompany":"deepmind","city":"Seattle","state":"WA","isRemote":false,"isActive":false,"createdAt":"2026-08-05T15:44:33.727Z","occupations":[{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"},{"code":"15-1251.00","title":"Computer Programmers","slug":"computer-programmers"}],"industries":[{"code":"513210","title":"Software Publishers","slug":"software-publishers"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Staff Software Engineer, Gemini App, Data Engineering, DeepMind","description":"In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:\n\nHealth, dental, vision, life, disability insurance\nRetirement Benefits: 401(k) with company match\nPaid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment\nSick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance\nMaternity Leave (Short-Term Disability + Baby Bonding): 28-30 weeks\nBaby Bonding Leave: 18 weeks\nHolidays: 13 paid days per year\n\nNote: By applying to this position you will have an opportunity to share your preferred working location from the following: Mountain View, CA, USA; New York, NY, USA; Seattle, WA, USA.\nMinimum qualifications:\nBachelor's degree in Computer Science or related technical field, or equivalent practical experience.\n8 years of experience in software development.\n\nPreferred qualifications:\nExperience with Apache Spark, Flink, Beam, Airflow, or BigQuery/Snowflake or other similar infrastructure.\nExperience developing, debugging, and supporting large-scale data pipelines.\nExperience with distributed data processing frameworks and workflow orchestration tools.\nExperience in Go/C++.\nExperience in a technical Lead or similar role, ideally setting technical direction for a small group of executive and junior software engineer.\nAbility to address daily business data requirements, ensure that development obstacles are cleared to maintain the Gemini App's changing growth.\nAbout the job\nThe Gemini Apps Data Engineering team architects and operates the data pipelines that deliver critical telemetry across all Gemini surfaces. We combine deep technical expertise with Google-scale operating experience to solve the unique data issues inherent in building a transformative, global product during a time of massive growth!\nGemini’s user base is growing continuously and our traffic has sometimes even doubled just over the course of a week. In this role, you will provide the technical leadership necessary to scale our infrastructure. You will architect durable data products and drive critical engineering initiatives across multiple teams to ensure we continue delivering metrics and training data quickly, reliably, and accurately at a massive global scale.\n\nLeveraging your experience in building and running scalable systems, and utilizing modern data warehouse infrastructure at Google, you will lead a small team of executive and junior engineers to scale the data pipelines that drive Gemini Apps’s analytics and power model and product improvement. You will work directly with key stakeholders, including our Data Science, model release, model quality, and feature teams, as well as teams across DeepMind, to identify and solve key problems to help make Gemini the next billion-user product.\nArtificial 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.\n\nWe are pushing the boundaries across multiple domains. Our global teams offer diverse learning opportunities and varied career pathways for those driven to achieve exceptional results through collective effort.\nIndividual pay is determined by factors including job-related skills, experience, and relevant education or training.\n\nUS: $207000 - $301000 (USD) + 20% bonus target + equity + benefits\n\nLearn more about benefits at Google.\nResponsibilities\nWork closely with our Data Science counterparts in definition and driving the goals for a Modern Data Warehouse.\nArchitect and build scalable batch and real-time pipelines that power experimentation, product analytics, and ML/AI training loops.\nOwn data quality, reliability, and observability end-to-end, including defining and operating Service Level Agreements (SLAs)/ Service Level Objectives (SLOs) for critical production datasets.\nMentor and grow other engineers, raising the technical bar through design reviews, code reviews, and actionable feedback.\nDrive cross-functional engineering initiatives that span multiple teams, translating ambiguous requirements into technical designs.\nGoogle is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also Google's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.","datePosted":"2026-08-05T15:44:33.727Z","dateModified":"2026-08-05T15:44:33.727Z","hiringOrganization":{"@type":"Organization","name":"Deepmind","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Seattle","addressRegion":"WA","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"741c78c3d43d85790320c178"},"url":"https://jobsearcher.com/jobs/741c78c3d43d85790320c178"}}