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Bengaluru Urban, Karnataka, India
Technical Support
Full-time
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Master’s degree in Engineering, Computer Science, Business, or a related field. Experience with C/C++, Java, or Python programming languages, and Android/Linux systems. Experience with scripting in Shell and Python. Experience in Android, Android open source project and automated testing. About the jobOur goal is to ensure the best possible user experience for YouTube products on any connected devices.In this role, you will deliver technical solutions and tools to empower internal teams and our partner teams worldwide. You will lead deployments, optimize implementations, and manage integrations to build strong, successful, long-term device partnerships. You will also have the opportunity to lead projects and teams that require collaboration with other teams like Product, Engineering, Business Development, Operations and Marketing. You will be improving existing operations, defining and commercializing new solutions, bridging product gaps, automating partner operations and taking new initiatives from conception to successful deployment. You will balance business and partner needs with technical constraints, develop solutions and act as a partner and consultant to those you are working with. You will build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources.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 Lead implementation reviews, advocate new product features, and ensure the prompt and proper resolution of technical tests. Improve product feature offerings by providing partner feedback to internal cross-functional teams including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration (e.g., new and ongoing) by providing necessary documentation and technical guidance. Identify, guide, and optimize the business flow from new existing and new business opportunities by leveraging YouTube technologies. Work with the Android TV partners in the region and globally to accelerate and improve YouTube integrations on new consumer devices. 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.
Negotiable
No requirement for relevant working experience
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 10 years of consulting or customer-facing experience focused on delivering data solutions. Experience managing partners (e.g. channel partners, systems integrators, third-party developers) to deliver solutions. Experience using big data technologies (e.g. Hadoop, Spark, Hive) and database management systems (e.g. SQL, Apache). People management experience, including managing engineers or architects through technical data projects delivery. Preferred qualifications: MBA or Master's degree in Computer Science, Engineering or a related field. Experience programming in one or more languages (e.g. Java, Python, Go, or C++). Experience leading IT implementations, IT support, deployments, and business development activities. Experience with relevant cloud technology more particularly in AI. Experience implementing large-scale cloud or software projects in corporate environments. Organizational, communication, and leadership skills, with the ability to prioritize and manage across multiple time sensitive initiatives. 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 Cloud Data Manager, you will lead a technical team that is an integral part of the broader Professional Services organization. You will work closely with the regional leadership team to accommodate the demand for skills, to provide technical leadership across the region, and to mentor a growing team. You will bring your demonstrated leadership acumen to a team responsible for ensuring the best experience for customers moving to Google Cloud. In this role, you are responsible for providing technical solutions, managing relationships with our customers' key stakeholders, and enabling our Google Cloud partners. 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 Foster a positive and high-performing team culture, through hiring, developing, and retaining a team with clear objectives, performance management, and career coaching. Manage and grow a team of data consultants and engineers focused on enterprise-wide modern data platforms. Recommend and document data migration and transformation paths required to successfully implement modern data platform solutions using best practices on Google Cloud. Drive the development of best practices and assets to support initiatives to scale expertise to accelerate implementations and cloud adoption. Oversee data portfolio delivery excellence and presales, exceptional customer satisfaction, and accurate estimation of customer 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.
Minimum qualifications: Bachelor's degree in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. 3 years of experience with interactions between hardware and software at the system level. Preferred qualifications: Master's degree or PhD in Computer Science, Electrical Engineering, a related technical field, or equivalent practical experience. Experience with liquid cooling technologies (e.g., DLC, sidecars) and their application in data center environments. Experience with server hardware from Dell (PowerEdge), HPE, and NVIDIA (HGX/NVL platforms). Experience with thermal modeling or Computational Fluid Dynamics (CFD) software to predict hotspot formation in high-density racks. Familiarity with high-power electrical standards and facility interfaces for liquid-cooled hardware. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. Google is bringing our cloud anywhere with Google Distributed Cloud—in your data center, at the edge, and in the cloud.Google Distributed Cloud (GDC) is a portfolio of fully managed Hardware (HW) and Software (SW) solutions which extends Google Cloud’s infrastructure to the edge and to customers’ data centers. It is enabled by Anthos and is ideal for local data processing, edge-computing for latency-sensitive workloads, and for meeting sovereignty, strict data security, and privacy requirements.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 Lead mechanical, thermal, and power design and validation for GDC rack infrastructure, accommodating next-generation advanced GPUs, including platforms such as NVIDIA Blackwell, Rubin, and future high-density AI accelerators. Analyze power consumption and thermal output of new components (e.g., servers, ToRs, switches, HSM, etc.) to determine impact on the existing rack designs, specifically addressing the shift to liquid-cooled requirements. Work closely with Original Equipment Manufacturer (OEMs), Product and Engineering teams to analyze their specific Hyperscale Graphics eXtension (HGX). Calculate rack power budgets and density limits, ensuring designs accommodate high-voltage requirements without exceeding infrastructure capacity. Model and validate airflow for mixed environments, including the integration of liquid-to-air sidecar heat exchangers. 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.
Negotiable
No requirement for relevant working experience
Minimum qualifications: Bachelor's degree in Computer Science, a similar technical field, or equivalent practical experience. 4 years of experience in software development. Experience in programming with one or more of the follwoing: Java, Python, GoLang, or TypeScript/JavaScript. Preferred qualifications: Experience in using test frameworks, CRMs, and Billing systems, and with machine learning, data analysis, and data science. Experience with unit testing, agile project development, bug and change management systems. Familiarity with application-level data storage, retrieval, and analysis tools and concepts such as SQL, NoSQL, logs analysis, protocol buffers, and MapReduce. Ability to manage software development projects and prioritize tasks, combined with a passion for engineering excellence. Ability to work across the stack: front-end, back-end, and integrations. Excellent verbal and written communication skills. About the jobAs a Web Solutions Engineer, you will use your technical aptitude and design skills to analyze problems, provide solutions to them, and identify and resolve dependencies. You will interact frequently with the stakeholders from around the world, and across different functions, to identify pain points and devise technical solutions. You will be developing software that enables business insight or scales business solutions. You will have the opportunity to learn and grow inside Google.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 develop applications or tooling for Cloud Support. Write and review detailed technical design documents. Monitor and enhance performance of applications and services. Partner with Technical leads to build reliable and scalable features. Understand customer and agent issues and advocate for their needs with cross-functional teams. Participate in engineering design discussions and code reviews with the team. Manage individual tasks/features priorities, deadlines and deliverables. Apply Artificial Intelligence (AI) tools in own workflow and internal solution. 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.
Negotiable
No requirement for relevant working experience
Minimum qualifications: Bachelor’s degree in Engineering, Computer Science, a related field, or equivalent practical experience. 3 years of experience working with client-side web technologies (e.g., HTML, CSS, JavaScript, or HTTP). 3 years of experience coding with one or more programming languages (e.g., Java, C/C++, Python). Experience troubleshooting technical issues for internal/external partners or customers. Preferred qualifications: Experience in the media industry, including television and video technologies. Experience with data analysis and writing SQL queries. Experience building with AI technologies. Excellent organizational, prioritization, and communication skills. About the jobAt YouTube, we believe that everyone deserves to have a voice, and that the world is a better place when we 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 Identify and drive various operational TV workflows and tools internally and with the partners to maximize partners’ success on the platform. Represent the industry’s needs to the Product and Engineering teams. Improve operations by developing automation scripts and dashboards. Improve product feature offerings and self-service tools by collaborating with internal cross-functional teams, including Product Management and Engineering. Guarantee the technical aspects of a partner’s integration (both new and ongoing) by providing necessary documentation and technical guidance. Support our media company partners through technical troubleshooting, influencing, GTM adoption, and internal cross-functional collaboration. Capture trends across partners, advocate their needs internally, and create repeatable processes. 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.
Negotiable
No requirement for relevant working experience
Minimum qualifications: Bachelor's degree in Computer Science, or equivalent practical experience. 5 years of customer-facing experience designing and deploying distributed data processing systems with one or more technologies. Experience with SQL data bases (e.g., PostgreSQL, MySQL, Oracle) and NoSQL data bases (e.g., Mongo, Cassandra.). Experience with different types of data modeling techniques and methodologies for traditional Online Analytical Processing or Online Transaction Processing (OLAP/OLTP) databases and modern data warehouses. Preferred qualifications: Certification in Cloud. 5 years of experience in managing technical client service. Experience reading software code in one or more languages such as Java, Python, NodeJS, Golang, JavaScript. Experience in devising migration approaches, and migrating on premise data processing systems to Cloud. Experience designing and deploying large-scale distributed data processing systems with one or more technologies: Oracle, SQL Server, MySQL, PostgreSQL, MongoDB, Cassandra, Redis, Hadoop, Spark, Flink, Kafka, Druid, Hive, HBase, Vertica, Netezza, Teradata, Tableau, or MicroStrategy. Knowledge of building and operationalizing data pipelines. 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. In this role, you will work with customers on critical projects to transform their business with data. You will provide consulting, solution design, and technical program management capabilities to customer engagements while directing customer executives and technical stakeholders on project related decisions. You will serve as a liaison between our customers and product teams to drive product excellence and adoption. In addition, you will also work with Google partners currently servicing accounts to manage programs, deliver consulting services, and provide technical guidance.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 becoming a trusted advisor to decision makers throughout the engagement. Work with internal specialists, product and engineering teams to package best practices and lessons learned into thought leadership, methodologies, and published assets. Interact with business, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks/issues, and timelines for successful client outcomes. Propose solution architectures and manage the deployment of cloud based databases, big data, and analytics solutions according to customer requirements and implement best practices. Travel up to 40% of the time for client engagements 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.
Negotiable
No requirement for relevant working experience
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Hyderabad, Telangana, India; Bengaluru, Karnataka, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 5 years of experience troubleshooting technical issues for internal/external partners or customers. Experience in either system design or reading code (e.g., Java, C++, Python). Preferred qualifications: Master’s degree in Business, Statistics, Mathematics, Economics, Engineering or Applied Science, or a related field. 8 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 8 years of experience with data analysis and SQL/MySQL. 8 years of experience in a customer-facing role. 8 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc). 8 years of experience working with Unix or Linux operating systems/commands. About the jobAs a Technical Solutions Consultant, you will be responsible for the technical relationship of our largest advertising clients and/or product partners. You will lead cross-functional teams in Engineering, Sales and Product Management to leverage emerging technologies for our external clients/partners. From concept design and testing to data analysis and support, you will oversee the technical execution and business operations of Google's online advertising platforms and/or product partnerships.You will be able to balance business and partner needs with technical constraints, develop innovative, cutting edge solutions and act as a partner and consultant to those you are working with. You will also be able to build tools and automate products, oversee the technical execution and business operations of Google's partnerships, as well as develop product strategy and prioritize projects and resources. 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 Prioritize and deliver outstanding customer service throughout the customer journey, troubleshooting and resolving issues with Google's advertisers and Sales teams, agencies and partners. Learn our AI powered Ads products like AIMax, PMax, and Ads Platforms. Troubleshoot complex technical product issues and apply deep product expertise to solve technical customer issues and escalations. Develop tools and automation for better diagnostics/data fixes and debugging, either independently or in partnership with Product Engineering teams. Improve product feature offerings by providing partner feedback to internal cross-functional teams, including Product Management, Engineering and Business Solutions 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.
Negotiable
No requirement for relevant working experience
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Gurugram, Haryana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 10 years of experience performing customer-facing services focused on translating enterprise customer needs into cloud architectures. Experience writing software in one or more languages (e.g., Java, Python, Go). Experience developing software, internet infrastructure, or migration solutions in virtual environments. Experience leading technical execution for multi-system projects and delivering technical strategies to executive stakeholders. Preferred qualifications: Experience designing cloud-native distributed systems and integrating artificial intelligence models into enterprise applications. Experience establishing technical strategies, data governance standards, and architectures for regulated enterprise environments. Experience with standard IT security practices, including identity and access management, data protection, and encryption. Experience automating infrastructure provisioning, continuous integration pipelines, and container orchestration technologies. Ability to advise executive stakeholders on capability mapping and aligning technical roadmaps with business objectives. 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 Principal Enterprise Architect, you will act as a trusted domain expert bridging complex commercial direction with production-grade technical implementations. You will lead strategic relationships with executive stakeholders, advising them on how to optimize their use of cloud technology to support overarching business processes. Operating at the intersection of business strategy and software engineering, you will own the technical execution of partnerships, translate enterprise needs into architectures, and guide teams through complex digital transformations.In this role, you will lead discovery workshops, construct business capability maps, and define long-term technical road maps. You will apply core software engineering and system design principles to modernize existing applications and architect novel, cloud-native solutions incorporating advanced artificial intelligence and agentic workflows. By overseeing system-level architecture, evaluating technical trade-offs, and establishing data governance and reliability standards, you will ensure solutions are secure, and commercially viable.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 Build and maintain strategic relationships with executive stakeholders to advise on technology strategy, translating ambiguous enterprise needs into structured technical road maps and solutions. Lead discovery workshops and business capability mapping sessions to define solution constraints, operational goals, and value-based implementation sequences. Oversee the design and execution of cloud-native system architectures, utilizing domain-driven design, event-driven patterns, and secure integration blueprints. Guide the technical development of repeatable solutions, application modernization frameworks, and artificial intelligence orchestrations while ensuring system diagnostics and compliance with industry standards. Provide technical direction and mentorship to cross-functional delivery teams, driving agile governance, code design reviews, and architecture decision logs to ensure product excellence. 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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Computer Science or equivalent practical experience. 6 years of experience building machine learning solutions and working with technical customers. Experience designing cloud enterprise solutions and supporting customer projects. Experience coding in one or more general purpose languages (e.g., Python, Java, Go, C or C++) including data structures, algorithms, and software design. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning. Experience with deep learning frameworks (e.g., Tensorflow, pyTorch, XGBoost). Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ ELT and reporting/analytic tools and environments (e.g., Apache Beam, Hadoop, Spark, Pig, Hive, MapReduce, Flume). Understanding of the auxiliary practical concerns in production machine learning systems. 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 Cloud AI Engineer, you will design and implement machine learning solutions for customer use cases, leveraging core Google products including TensorFlow, DataFlow, and Vertex AI. You will work with customers to identify opportunities to apply machine learning in their business, and travel to customer sites to deploy solutions and deliver workshops to educate and empower customers. Additionally, you will work closely with Product Management and Product Engineering to build and constantly drive excellence in our products.In this role, you are the Google Engineer working with Google's largest and most ambitious Cloud customers. Together with the team you will support customer implementation of Google Cloud products through: architecture guidance, best practices, data migration, capacity planning, implementation, troubleshooting, monitoring, and much more.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 Be a trusted technical advisor to customers and solve complex machine learning challenges. Coach customers on the practical challenges in machine learning systems: feature extraction and feature definition, data validation, monitoring, and management of features and models. Work with customers, partners, and Google Product teams to deliver tailored solutions into production. Create and deliver best practice recommendations, tutorials, blog articles, and sample code. Travel up to 30% for in-region for meetings, technical reviews, and onsite delivery activities. 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.
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Bengaluru, Karnataka, India; Pune, Maharashtra, India.Minimum qualifications: Bachelor's degree in Science, Technology, Engineering, or equivalent practical experience. 9 years of experience with debugging codes in Java, C, C++, .NET, Python, Shell, Perl, or JavaScript. 4 years of experience in networking technologies (e.g., Transmission Control Protocol/Internet Protocol (TCP/IP), Routing, Virtual Private Network (VPN), Virtual Local Area Network (VLAN), Peering, Load-Balancing, Firewall, Dynamic Host Configuration Protocol (DHCP), Internet Control Message Protocol (ICMP), Network Address Translation (NAT), Content Delivery Network (CDN), Domain Name System (DNS)). Preferred qualifications: Certifications in Cisco Certified Network Professional (CCNP), Cisco Certified Internetwork Expert (CCIE), Certified Kubernetes Administrator (CKA), Red Hat Certified Engineer (RHCE). Experience in using techniques like packet-capture/packet-analysis, load testing, and traffic-path analysis to troubleshoot network-latency, packet-loss and performance issues. Experience in implementing, administering, and troubleshooting network infrastructure devices. Experience with open source software communities, cloud networking solutions, distributed-computing technology or hybrid/multi-cloud connectivity. Knowledge of virtual/container networking, web technologies, HTTP/HTTPS, network administrator level Linux/Unix or other Operating System (OS). Ability to work in shifts. About the jobThe Google Cloud team helps companies, schools, and government seamlessly make the switch to Google products and supports them along the way. You listen to the customer and swiftly problem-solve technical issues to show how our products can make businesses more productive, collaborative, and innovative. You work closely with a cross-functional team of web developers and systems administrators, not to mention a variety of both regional and international customers. Your relationships with customers are crucial in helping Google grow its Cloud business and helping companies around the world innovate. In this role, you will be a part of a Global team that provides support to help customers switch to Google Cloud. You will troubleshoot technical issues for customers with debugging, networking, system administration, documentation updating, and coding/scripting. You will make the products easier to adopt and to use by making improvements to the product, tools, processes, and documentation. You will help drive business growth of Google Cloud by recognizing and advocating for the customer issues.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 Manage the customers issues through diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on Google Cloud Platform products. Develop knowledge of Google's product technology and underlying architectures by troubleshooting, reproducing, planning the root cause for customer reported issues, and building tools for diagnosis. Act as a consultant and subject matter expert for internal stakeholders in engineering, business, and customer organizations to resolve technical deployment issues and improve Google Cloud. Understand customer issues and advocate for their needs with cross-functional teams including Product and Engineering teams to find ways to improve the product, and drive production. Work as part of a team of engineers or consultants that ensure customer support globally. Work non-standard hours/shifts 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.
Negotiable
No requirement for relevant working experience

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