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Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related field, or equivalent practical experience. 3 year of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience with database administration techniques or data engineering, and writing software in Java, C++, Python, Go, or JavaScript. Experience managing client-facing projects, troubleshooting technical issues, and working with Engineering and Sales Services teams. Preferred qualifications: Experience working with data warehouses, including data warehouse technical architectures, infrastructure components, ETL/ELT, and reporting/analytic tools and environments. Experience working with Big Data, information retrieval, data mining, or machine learning. Experience in building applications with modern web technologies (e.g., NoSQL, MongoDB, SparkML, TensorFlow). Experience architecting, developing software, or production-grade Big Data solutions in virtualized environments. About the jobAs a Data Engineer for the Analytics, Insights and Measurement (AIM) team, you will Help customers, grow their businesses through trusted analytics, insights and measurement that ensure user privacy.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We’re made up of multiple teams, building Google’s Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.Responsibilities Create and deliver recommendations, tutorials, blog articles, sample code, and technical presentations, tailoring approach and messaging to varied levels of business and technical stakeholders. Design, develop, and maintain reliable data pipelines to collect, process, and store data from various data sources. Implement data quality checks and monitoring to ensure data accuracy and integrity. Collaborate with cross-functional teams (data science, engineering, product managers, sales and finance) to understand data requirements and deliver data solutions. Enhance data infrastructure for performance, efficiency to meet evolving business needs. 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.

Astera Labs (NASDAQ: ALAB) provides rack-scale AI infrastructure through purpose-built connectivity solutions. By collaborating with hyperscalers and ecosystem partners, Astera Labs enables organizations to unlock the full potential of modern AI. Astera Labs’ Intelligent Connectivity Platform integrates CXL®, Ethernet, NVLink, PCIe®, and UALink™ semiconductor-based technologies with the company’s COSMOS software suite to unify diverse components into cohesive, flexible systems that deliver end-to-end scale-up, and scale-out connectivity. The company’s custom connectivity solutions business complements its standards-based portfolio, enabling customers to deploy tailored architectures to meet their unique infrastructure requirements. Discover more at www.asteralabs.com.Job Description Astera labs is seeking a skilled and motivated Data Scientist. This individual will play a pivotal role in identifying key data points for collection, developing strategies to accumulate data and deriving actionable insights an anomaly based on a solid foundation of relevant know-how. Also, will also be responsible for creating, testing, and deploying scripts and methods for data collection and analysis to support decision-making. The Engineer will collaborate with cross-functional teams to identify critical data sources to determine the most effective data collection strategies, will develop automated and scalable data collection pipelines, will ensure data quality, integrity, and consistency across all sources and may use AI techniques to refine the results toward failures predictions. Basic Qualifications Bachelor’s degree in computer science, Data Science, Engineering, Mathematics, or a related field. Advanced degrees in data science or Machine learning / AI - Advance. Proficiency in programming languages such as Python, R, or MATLAB. Strong understanding of data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Understanding of high speed interfaces such as Ethernet, PCI-E , WiFi. Experience with data visualization tools such as Tableau, Matplotlib, Graphana. Strong analytical and critical-thinking skills to identify patterns and outliers. Customer-obsession, Think and act with the customer in mind! Goal-driven, Self-motivated, be able to work independently and with teams with people around the globe. Entrepreneurial, open-minded behavior and can-do attitude. Required Experience Experience with data manipulation and analysis tools (e.g., Pandas, NumPy, SQL). Machine learning and AI techniques and frameworks (e.g., TensorFlow, Scikit-learn). Proven ability to manage multiple tasks and meet deadlines. Preferred Experience Embedded Firmware development with C-language, scripting with Python or other equivalent programming languages. Master’s degree in a relevant field. Experience with cloud platforms (e.g., AWS, Azure, GCP) for data storage and processing. Familiarity with big data technologies (e.g., Hadoop, Spark). Knowledge of engineering design tools and processes. We know that creativity and innovation happen more often when teams include diverse ideas, backgrounds, and experiences, and we actively encourage everyone with relevant experience to apply, including people of color, LGBTQ+ and non-binary people, veterans, parents, and individuals with disabilities.

Minimum qualifications: Bachelor's degree or equivalent practical experience. 8 years of experience in product management or related technical role. 3 years of experience taking technical products from conception to launch (e.g., ideation to execution, 0 to 1, etc). Experience developing or launching products or technologies within databases, analytics, big data, or a related area. Experience in Apache Spark for data processing. Preferred qualifications: Experience driving product goal, go-to-market strategy, and design discussions. Experience working on developer tools or open source projects. Experience with data analytics tools (Hadoop, Spark), project involvement, and committership. Ability to drive results in collaborative, cross-functional environments with minimal oversight. About the jobAt Google, we put our users first. The world is always changing, so we need Product Managers who are continuously adapting and excited to work on products that affect millions of people every day. In this role, you will work cross-functionally to guide products from conception to launch by connecting the technical and business worlds. You can break down complex problems into steps that drive product development.One of the many reasons Google consistently brings innovative, world-changing products to market is because of the collaborative work we do in Product Management. Our team works closely with creative engineers, designers, marketers, etc. to help design and develop technologies that improve access to the world's information. We're responsible for guiding products throughout the execution cycle, focusing specifically on analyzing, positioning, packaging, promoting, and tailoring our solutions to our users. In this role, you will be responsible for Google Cloud Platform (GCP) Data Analytics' big data analytics portfolio for Spark and other open source components in Dataproc and Serverless Spark.Google Cloud accelerates every organization’s ability to digitally transform its business and industry. We deliver enterprise-grade solutions that leverage Google’s 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 Drive the new set of innovation and growth powering Open Source Analytics at scale on Google Cloud. Work closely with customers, field and partners to address unmet need. Partner with business development and GTM teams to build growth strategies. Partner with engineering, research and key stakeholder teams to align roadmap and Objectives and Key Results (OKRs). 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 Computer Science, Mathematics, a related field, or equivalent practical experience. 3 years of experience with data processing software (e.g., Hadoop, Spark, Pig, Hive) and algorithms (e.g., MapReduce, Flume). Experience managing client-facing projects, troubleshooting technical issues, and working with engineering and sales services teams. Experience with database administration techniques or data engineering, as well as writing software in Java, C++, Python, Go, or JavaScript. Preferred qualifications: Master’s degree in Computer Science, Engineering, Statistics, or Mathematics. Experience with data warehouses, large-scale distributed data platforms, and data lakes. Ability to break down complex, multi-dimensional problems with structured thinking. Ability to navigate ambiguity in a fluid environment with multiple stakeholders. Excellent business and technical communication, organizational, and investigative skills. About the jobAs a Data Engineer, you will guide customers on how to ingest, store, process, analyze, explore, and visualize data on Google Cloud Platform. You will lead data migrations and transformations, partner with clients to architect scalable data processing systems, build efficient data pipelines, and resolve platform challenges. In this role, you'll collaborate with Google's strategic cloud customers and our team to successfully implement Google Cloud products.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 Conduct requirements gathering and project scoping sessions with subject matter experts, business users, and executive stakeholders to discover and define business data needs. Design, build, and optimize the data architecture and extract, transform, and load (ETL) pipelines to make them accessible for Business Data Analysts, Data Scientists, and business users to enable data-driven decision-making. Work closely with analysts to productionize and scale value-creating capabilities, including data integrations and transformations, model features, and statistical and machine learning models. Drive the highest standards in data reliability, data integrity, and data governance, enabling accurate, consistent, and trustworthy data sets, business intelligence products, and analyses. Write and review end-user and technical documents, including requirements and design documents for existing and future data systems, as well as data standards and policies. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science, or a related technical field, or equivalent practical experience. 8 years of experience in software development, with 5 years of experience in testing and launching software products. 3 years of experience with software design and architecture, and with programming in C++. Experience as a technical lead, including mentoring executive engineers and setting technical strategy for a team or project in designing, building, and troubleshooting distributed systems. Experience with storage systems and their principles (e.g., block storage, distributed file systems, storage virtualization). Ability to communicate in Mandarin fluently to collaborate with the partners. Preferred qualifications: Experience with the infrastructure and management of large-scale data workloads, such as Hadoop Distributed File System (HDFS), Spark, or related big data frameworks. Experience with public cloud platforms (e.g., Google Cloud) and infrastructure for Artificial Intelligence/Machine Learning (AI/ML) workloads. About the jobGoogle 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. Hyperdisk and Persistent Disk are Google’s virtual block storage offering foundational building block for Cloud workloads, from databases to Machine Learning (ML) workloads.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 Design and build the next generation of systems to run, manage, and plan performance workloads on Google's block storage platform. Be responsible for system architecture, technical direction, and execution. Manage distributed systems tests to make it seamless for customers. Engage with customers using Mandarin language for technical collaboration, and to understand and solve regional workload requirements. Collaborate with cross-functional teams, including Google Compute Engine (GCE), networking, and ML teams. Work with C++ to collaborate with key regional partners and teams. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 8 years of experience in solution engineering or architecture. 7 years of experience in project management and technical solution delivery, with experience writing code in one or more programming languages (e.g., Python, Java). 5 years of experience in stakeholder management, professional services, or technical consulting. Experience in Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, SRE, or AI/ML Infrastructure (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA). Ability to travel up to 50% of the time. Preferred qualifications: Master’s degree in Computer Science, Technology, Business, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: advanced networking and storage: (e.g., system design of load balancers, firewalls, VPN, and production-grade storage). Experience in accelerated computing: (e.g., Kubernetes, GKE, EKS, and GPU workloads), and with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Ability to understand, debug, and contribute to existing, complex software systems. Excellent communication, writing, presentation, and problem-solving skills. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this rapidly growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As a Senior Cloud Integration Engineer, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.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 Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions, become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 7 years of experience in project management and technical solution delivery. Experience in one or more of the following: Data Center Infrastructure, Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE. Ability to travel up to 50% of the time as needed for client engagements. Preferred qualifications: Master’s degree in Computer Science, Engineering or equivalent practical experience. Experience in one or more of the following specialized domains: data center infrastructure (e.g., deployments, upgrades and reliability), advanced networking and storage (e.g., system design of load balancers, firewalls, VPN, and production-grade storage), accelerated computing (e.g., Kubernetes, GKE, EKS, and GPU workloads). Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations. Excellent communication, writing, presentation, and problem-solving skills. About the jobThe Google Cloud Consulting Professional Services team guides customers through the moments that matter most in their cloud journey to help businesses thrive. We help customers transform and evolve their business through the use of Google’s global network, web-scale data centers, and software infrastructure. As part of an innovative team in this growing business, you will help shape the future of businesses of all sizes and use technology to connect with customers, employees, and partners. As Senior Cloud Integration Architect, you will work directly with Google’s most strategic customers on infrastructure projects that transform their business. You will provide consulting, program management, and technical expertise on customer engagements, while working with client executives and key technical leaders to deploy solutions on Google Cloud Platform. You will also work with key Google partners to deliver joint consulting services, providing technical guidance and infrastructure best practices.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 Work with customer technical leads, client executives, and partners to manage and deliver implementations of cloud solutions, become a trusted advisor to decision makers throughout the engagement. Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to customer requirements and implementation best practices. Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets. Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes. Travel approximately 50% of the time for client engagements. 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.

Google welcomes people with disabilities.Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. Experience in technical project management, stakeholder management, professional services, solution engineering, or technical consulting. Experience in system design or reading code (e.g., Java, C++, Python). Experience in a customer-facing role working with stakeholders, driving customer technical implementations or transformation programs. Ability to communicate in English and Mandarin fluently to support client relationship management in this region. Preferred qualifications: Master's degree in Computer Science or equivalent practical experience. Experience in the online advertising industry. Experience with SQL, Linux, and cloud or distributed computing platforms like BigQuery, Hadoop, App Engine, etc. Ability to collaborate with people and multiple job functions. Ability to work separately, and manage multiple projects and solve problems. Excellent communication skills, with the ability to present technical materials to groups. About the jobgTech Ads is responsible for all support and media and technical services for customers big and small across our entire Ad products stack. We help our customers get the most out of our Ad and Publisher products and guide them when they need help. We provide a range of services from enabling better self help and in-product support, to providing better support through interactions, setting up accounts and implementing ad campaigns, and providing media solutions for customers business and marketing needs and providing complex technical and measurement solutions along with consultative support for our large customers. These solutions range from bespoke and customized ones for our customers to scalable support for millions of customers worldwide. Based on the evolving needs of our ads customers, we partner with Sales, Product and Engineering teams within Google to develop better solutions, tools, and services to improve our products and enhance our client experience. As a cross-functional and global team, we ensure our customers get the best return on investment with Google and we remain a trusted partner.In this role, you will lead in-market product commercialization, market analysis, customer product needs assessments, and day-to-day technical escalations in order to maintain the success of the customers. You will have the ability to absorb technical concepts and communicate them to technical and non-technical audiences, and interact with product management teams. You will be working with cross-functional teams to improve the products and operations. You will be familiar with online advertising and will have experience working within the industry.Google creates products and services that make the world a better place, and gTech’s role is to help bring them to life. Our teams of trusted advisors support customers globally. Our solutions are rooted in our technical skill, product expertise, and a thorough understanding of our customers’ complex needs. Whether the answer is a bespoke solution to solve a unique problem, or a new tool that can scale across Google, everything we do aims to ensure our customers benefit from the full potential of Google products.To learn more about gTech, check out our video.Responsibilities Provide technical consulting services and guidance around Google Application Programming Interfaces (APIs) and tech platforms to help clients develop applications across ads products. Work with customers to understand underlying business tests. Manage relationships with business teams and customers, and leverage these relationships to identify and develop technical solutions that lead to more advertising business. Work across business, support and product teams to provide solutions to tests. Propose, design, create and present prototypes, demos and proofs-of-concept to audiences including engineers to marketing professionals. Leverage Google’s tech platforms and big data analytics systems to achieve the goals. 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 Science, Technology, Engineering, or equivalent practical experience. 3 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development. Experience writing, reading, and debugging code in one of the following: Java, C, C++, Python, or Go. Experience with web technologies (e.g., HTTP, HTML, DNS, TCP). Ability to participate in on-call rotation, which may occur outside of standard working hours, including nights, weekends and holidays. Preferred qualifications: Experience administering and querying data in distributed, columnar or analytic oriented databases or distributed data processing frameworks. Experience with open source distributed storage and processing utilities in the apache hadoop family or workflow orchestration products. Experience in data analytics, warehousing, ETL development, data science or other big data applications. About the jobThe Google Cloud Platform team helps customers transform and build what's next for their business — all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers — developers, small and large businesses, educational institutions and government agencies — see the benefits of our technology come to life. As part of an entrepreneurial team in this rapidly growing business, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. The high touch support solutions engineers step in and own the large and important customer issues in addition to proactively helping improve customer experiences. You will be a part of a global team that provides 24x7 support to help customers seamlessly make the switch to Google Cloud. In this role, you will provide a high-touch, dedicated service to the most critical customers with complex environments, aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments.The high touch support team’s focus on proactive solutions and customer-centric supportability helps avoid issues, build customer trust, enable customers' continuous growth and long term success on Google Cloud Platform (GCP). You will troubleshoot technical problems for customers through debugging, networking, system administration, updating documentation, and coding/scripting. You will make the products easier to adopt and use by making improvements to the product, tools, processes and documentation. 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 Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale. Triage and handle technical escalations, including platform outages, technical issues, and executive concerns. Develop an in-depth understanding of Google Cloud's product technology and architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, build tools, and diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, including Product and Engineering teams, to find ways to improve the product, and drive production. Work as part of a team that globally ensure 24-hour customer support. This will include a need to sometimes work non-standard work hours/shifts, and may include weekend work. 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.

Google will be prioritizing applicants who have a current right to work in Singapore, and do not require Google's sponsorship of a visa.Minimum qualifications: Bachelor's degree or equivalent practical experience. 6 years of experience troubleshooting and advocating for customers' needs, triaging technical issues, or software development. Experience writing, reading, and debugging code in Java, C, C++, Python, or Go, including working with distributed systems, solutions, design patterns, or best practices. Experience creating content for technical audiences and experience with web technologies (e.g., HTTP, HTML, DNS, TCP, etc.). Ability to participate in on-call rotation, including non-standard working hours, nights, weekends and holidays. Ability to communicate in English and Mandarin fluently, to support client relationship management in this region. Preferred qualifications: Experience working with public cloud services and infrastructure (e.g., Google Cloud Platform). Experience developing developer tools (e.g., automation, testing, debugging). Experience administering and querying data in distributed, columnar or investigative oriented databases or distributed data processing frameworks. Experience with open source distributed storage and processing utilities in the Apache Hadoop family or workflow orchestration products. Experience in data analytics, warehousing, ETL development, data science or other big data applications. Experience in crisis response or escalation management across multiple teams, with ability to influence momentum of incident response for critical customer issues. About the jobThe Google Cloud Platform (GCP) team helps customers transform and build what's next for their business all with technology built in the cloud. Our products are developed for security, reliability and scalability, running the full stack from infrastructure to applications to devices and hardware. Our teams are dedicated to helping our customers developers, businesses, educational institutions and government agencies, see the benefits of our technology come to life. In this role, you will play a key role in understanding the needs of our customers and help shape the future of businesses of all sizes use technology to connect with customers, employees and partners. You will be a part of a global team that provides 24/7 support to help customers seamlessly make the switch to Google Cloud. You will provide a high-touch, dedicated service to our most critical customers with environments, aiming to anticipate their needs, optimize product performance, and enable customer success across complex environments.The High Touch Support team’s focus on proactive solutions and deep customer-centric supportability helps avoid issues, build stronger customer trust, enable customers' continuous growth and long term success on GCP. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will make our products easier to adopt and use by making improvements to the product, tools, processes and documentation.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 Work with customers on their production deployments to resolve issues and achieve product readiness, availability, and scale. Triage and handle technical escalations, including platform outages, technical issues, and executive concerns. Develop an in-depth understanding of Google Cloud's product technology and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Act as consultant and SME for internal stakeholders in engineering, sales, customer organizations to resolve technical deployment obstacles and improve Google Cloud. Understand customer issues, advocate for their needs with internal teams, and find ways to improve the product and drive production. Participate in rotating on-call schedules including during nights, weekends and holidays, to ensure prompt and proper resolution of customer-impacting technical issues, and travel up to 15% in-region for meetings and onsite delivery activities as needed. 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.