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Minimum qualifications: Bachelor's degree in Computer Science, Engineering, Mathematics, Statistics or equivalent practical experience. 5 years of experience in designing, installation, and managing database products. 5 years of coding experience in shell scripting, Go, Python, C, C++, or Java. Experience with Linux and SQL. Preferred qualifications: Experience in coding with Advanced Business Application Programming (ABAP). Experience in administering SAP Business Suite in HA and DR environments, Cloud Connector and integration platforms (e.g., PI/PO, SDI, DS, etc.), and automation for SAP patching. Experience with customer support platforms. Ability to analyze and resolve difficult technical issues quickly in a changing environment. About the jobDatabase Administrators embrace Google's motto to ensure millions of users can access the world's information without a glitch. As a Database Engineer at Google, you design, implement and maintain our relational database systems for performance and reliability. You're responsible for tuning and configuring our databases as well as building tools and scripts to monitor, troubleshoot and automate our systems. You propose test plans and interface with external groups, developers and application owners to arrive at optimal solutions. Other areas of responsibility include designing and enhancing disaster recovery and backup systems. As you are writing automation for hundreds of machines, pages are serving up in real time, which means that the user has a seamless browsing experience.With your technical expertise, you design, implement and improve processes, procedures and automation for all database-centric areas. You also test the systems in place and interface with external groups. 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 Engineer and run SAP infrastructure to meet performance, security, high availability, scalability, and other requirements. Interact with business analysts and developers to ensure the overall infrastructure design of business applications meets requirements of performance, security and high availability. Perform operational Data Base Engineering (DBE) duties in a large-scale, complex environment, including patching, environments cloning, database and application upgrades, implementing backup and monitoring procedures. Analyze performance issues in the application and database tiers of SAP installations. Assist developers with performance tuning. Work with third-party vendor products teams (e.g., SAP and partners) to resolve any issues. Google 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.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 5 years of experience in data analysis, including identifying trends, generating summary statistics, and drawing insights from quantitative and qualitative data. 5 years of experience managing projects and defining project scope, goals, and deliverables. Preferred qualifications: Master’s or Ph.D. degree in a quantitative discipline (e.g., Computer Science, Statistics, Mathematics, Operations Research, etc.) 5 years of experience in a large-scale data analysis or data science setting, including abuse and fraud disciplines, with a focus on web security, harmful content moderation, and threat analysis. Experience in scripting languages (e.g., C/C++) with proficiency in programming languages (e.g., Python, Julia, etc.) and database languages like SQL. Experience with prompt engineering and fine-tuning LLMs. Proficiency in applying machine learning techniques to large datasets. About the jobTrust Safety team members are tasked with identifying and taking on the biggest problems that challenge the safety and integrity of our products. They use technical know-how, excellent problem-solving skills, user insights, and proactive communication to protect users and our partners from abuse across Google products like Search, Maps, Gmail, and Google Ads. On this team, youre a big-picture thinker and strategic team-player with a passion for doing what’s right. You work globally and cross-functionally with Google engineers and product managers to identify and fight abuse and fraud cases at Google speed - with urgency. And you take pride in knowing that every day you are working hard to promote trust in Google and ensuring the highest levels of user safety. The AI Safety Protections team within Trust and Safety develops and implements cutting-edge AI/LLM-powered solutions to ensure the safety of generative AI across Google's products. This includes safeguards for consumer products, enterprise offerings (e.g., Vertex AI), on-device applications, and foundational models (e.g., Gemini, Juno, Veo, etc.) in collaboration with Google DeepMind. We are a team of passionate data scientists and machine learning experts dedicated to mitigating risks associated with generative AI and addressing real-world safety with LLM/AI technology (e.g., imminent threat, child safety, etc.).As a member of our team, you will have the opportunity to apply the latest advancements in AI/LLM, work with teams developing cutting-edge AI technologies, and protect the world from real-world harms.This role works with sensitive content or situations and may be exposed to graphic, controversial, or upsetting topics or content.Responsibilities Develop scalable safety solutions for AI products across Google by leveraging advanced machine learning and AI techniques. Apply statistical and data science methods to examine Google's protection measures, uncover potential shortcomings, and develop actionable insights for continuous security enhancement. Drive business outcomes by crafting compelling data stories for a variety of stakeholders, including executive leadership. Develop automated data pipelines and self-service dashboards to provide timely insights at scale. Google 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.

Minimum qualifications: Bachelor's degree in Engineering, Math, Quantitative Science, or related technical field, or equivalent practical experience. 9 years of experience working in data analytics, consulting, data science, engineering, or a technical operations role. 9 years of experience in statistical problem solving and analyzing data sets using SQL. 2 years of experience managing a team. Preferred qualifications: Master's degree in a quantitative field (e.g., Statistics, Computer Science, Engineering, Mathematics, Data Science, etc.) with experience in Trust and Safety. Experience collecting, managing and synthesizing large data sets and information from disparate sources, statistical modeling, data mining and data analysis. Experience scaling and developing an analytics or business intelligence team in a high-growth environment. Excellent problem solving and project management skills with strengths in metrics analysis, experiment design and automation. Excellent verbal and written communication, and presentation skills with effective attention to detail. About the jobWith your expertise, you will help deliver on YouTube’s mission, show them the world and build a community. Your role will be critical in upholding the transparency mandate for the YouTube Trust and safety and crafting the best narrative for executives and the outside world. As a Business Analyst Manager, you'll utilize data and analytics techniques to define success metrics for YouTube trust and safety operations, measure business performance and communicate convincing narrative to executives and outside world. You will work with key business partners to understand data needs, write extract, transform and load scripts and collaborate closely with other internal teams.In this role, you will operate at two speeds: the strategic, long-term view of how to tell our safety story to the world, and the fast-moving, tactical view of how to drive daily improvements in our operations.At YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we listen, share, and build community through our stories. We work together to give everyone the power to share their story, explore what they love, and connect with one another in the process. Working at the intersection of cutting-edge technology and boundless creativity, we move at the speed of culture with a shared goal to show people the world. We explore new ideas, solve real problems, and have fun — and we do it all together.Responsibilities Formulate a practical and high impact long term strategy and goal and lead a dedicated analyst team to work closely with operations, product and Engineering across YouTube Trust and Safety. Measure, analyze, and develop opportunities to enhance operations at scale in a fast-moving environment. Manage and develop a team of business analysts, and support them through creating and deploying scaled solutions ranging from complex statistical measurements, experimentation and insight platforms, and robust externalized data and reporting pipelines. Collaborate closely with various cross-functional stakeholders and APAC and EMEA Trust and Safety Operations leadership. Google 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.