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This role requires you to work in a shift pattern or non-standard work hours as required. This may include weekend work.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 6 years of experience with writing code in one or more general purpose programming languages (e.g., C++, Java, Python, Go, etc). Experience with Linux/Unix systems with debugging issues across the hardware/software boundary on enterprise-grade server infrastructure. Experience in troubleshooting for customer needs, and triaging technical issues across the stack (e.g., hardware faults, networking, virtualization, kernel drivers, firmware, performance). Preferred qualifications: Experience in working with distributed systems with the knowledge of common solutions, design patterns, or best practices. Experience in working with Artificial Intelligence/Machine Learning (AI/ML) computing hardware, including Graphics Processing Unit (GPUs) or other accelerators. Experience with containerization and orchestration technologies like Kubernetes or Slurm. Experience with ML frameworks (e.g., TensorFlow, Pytorch), with the knowledge of the AI/ML training and inference lifecycle. Excellent troubleshooting and communication skills with attention to details. 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 own customer issues and provide specialized support to other teams. You will be a part of a global team that provides support to ensure customers can deploy their Artificial Intelligence (AI) and Machine Learning (ML) workloads on AI Infrastructure products. You will troubleshoot technical problems with hardware and software debugging, networking, Linux system administration, coding/scripting, and updating documentation. You will help the customer’s success in the AI/ML space by making improvements to the product, internal tools, processes, and documentation. You will help drive business growth by recognizing and advocating for the customers’ tests related to AI deployments.Responsibilities Manage customer’s problems through diagnosis, resolution, or implementation of new investigation tools to increase productivity for customer issues on AI/ML infrastructure. Develop an understanding of AI/ML workloads and underlying hardware architectures by troubleshooting, reproducing, determining 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 deployment and operational obstacles in AI infrastructure environments. Work with multiple Product and Engineering teams to find ways to improve the product, and interact with our Site Reliability Engineering (SRE) teams to drive production. Be available for non-standard work hours or shifts which may include weekends 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.

Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Pune, Maharashtra, India; Bengaluru, Karnataka, India; Gurugram, Haryana, India; Hyderabad, Telangana, India; Mumbai, Maharashtra, India.Minimum qualifications: Bachelor's degree in Engineering, Computer Science or in a related software engineering field, or equivalent practical experience. 3 years of experience architecting and implementing APIs in Apigee, using a combination of technologies, languages, and standards such as REST, SOAP, GraphQL, OpenAPI, Python, Java, JavaScript, and Kubernetes. Experience with API gateway/management, Apigee X and Apigee Hybrid. Experience with Infrastructure as Code tools like Terraform, Crossplane, Pulumi, etc. Preferred qualifications: Experience in private, public (Cloud Platforms), and hybrid cloud design considerations and limitations in areas such as virtualization, containerization and container orchestration (like using Kubernetes), serverless, event-driven architecture, global infrastructure, distributed systems and datastores (like Cassandra), load balancing, networking, and security. Experience in implementing API Security and Threat Modelling using SAML Assertion, OAuth 2.0, etc. Understanding of terminologies and concepts related to AI, including LLMs, inference, and Agents. Knowledge of Multi/Hybrid Cloud exposure through Google Distributed Cloud (formerly known as Anthos), OpenShift, Rancher, or similar platforms. Knowledge of API Development and Lifecycle. 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. Application Programming Interface (API) Strategy is a core part of Digital Transformation that helps customers effectively manage their platforms. Apigee is Google's differentiated full API lifecycle management offering. Organizations and developers use Apigee to design, document, secure, deploy, scale, publish, monetize, analyze, and manage their APIs effectively. As a Strategic Cloud Engineer in the API Management domain, you will be the primary technical point of contact with the prospects and customers on their journey with Apigee. You will guide customers through product implementation and will serve as the customers’ primary source for expertise on all Apigee products and implementations to achieve customers’ project goals.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 closely with customers during post-sales engagements on their API programs. Produce required design specifications. Provide technical leadership, architectural guidance, and help customers go into production with quality technical solutions/implementations with on-premises and multi/hybrid cloud-based Apigee solutions. Work with customers’ Operations teams to design, deploy, and configure required infrastructure components. Work with geographically distributed Apigee Product/Engineering and customer engineering teams to drive innovation and excellence in the field of API Management using Apigee. 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, Mathematics, or equivalent practical experience. 3 years of experience with two or more of the following: web tech, data/big data, SQL, BigQuery, systems admin, machine learning, networking, Kubernetes, Oracle, or SAP. Experience with coding in a general purpose coding language (e.g., Java, C, C++, Python, Shell, Go, JavaScript, etc.) and in virtualization and orchestration frameworks. Experience with Linux/Unix or other operating systems (e.g., Kernel to Shell, file systems, client-server protocols, etc.). Preferred qualifications: Experience in data analytics, warehousing, ETL development, data science, or other big data applications. Experience with SQL database administration, open source software communities, cloud networking solutions, or distributed computing. Experience working in a dynamic organization with extensive cross-collaboration across functions. Experience in technical consulting on database design and architecture supporting large enterprise customers with high SLO and SLA requirements. Experience with debugging, working on distributed applications or micro-services in a cloud based environment (e.g., Docker, Kubernetes, etc.). 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. In this role, you will provide support to customers making the switch to Google Cloud. When customers cannot resolve issues themselves, you will ensure that we have the necessary tools and processes to swiftly resolve the issue. You will troubleshoot technical problems for customers with a mix of debugging, networking, system administration, updating documentation, and when needed, coding/scripting. You will help Google Cloud by understanding and advocating for our customers' issues. You will be required to work in a shift pattern or non-standard work hours as needed. This may include weekend work.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 Develop an in-depth understanding of Google Cloud's data analytics (e.g., BigQuery) and underlying architectures by troubleshooting, reproducing, and determining the root cause for customer-reported issues, building tools, and faster diagnosis. Act as consultant and subject matter expert for internal stakeholders in engineering, sales, and customer organizations to resolve technical deployment obstacles and improve Google Cloud. Work as part of a team of engineers and consultants 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. Understand customer issues, advocate for their needs with internal teams, including product and engineering teams, and drive high-quality production. Work with customers on their production databases to resolve issues and achieve product readiness, availability, and 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.