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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 Modeling 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, 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 Customer 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; Mumbai, Maharashtra, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor’s degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience. 7 years of experience in cloud computing or a technical customer-facing role, with experience using Python. 2 years of experience managing a software engineering team, Field Solutions Architect team, or a similar technical customer-facing team in a cloud computing environment. Experience developing AI or Generative AI solutions utilizing AI Tools and designing multi-agent workflows and Retrieval-augmented generation (RAG) systems. Preferred qualifications: Master's degree or PhD in Computer Science, AI, Machine Learning, or a related technical field. Experience in designing interfaces for AI and agentic systems. Experience in architecting AI solutions within infrastructures, ensuring data sovereignty and secure governance. Ability to design observable multi-agent systems using design patterns (ReAct, self-reflection,etc), state management, and tool-calling protocols. Ability to perform ‘discovery' interviews to find the business problem and translate hardware/AI constraints for C-suites and technical teams. 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. As the Manager of the AI Field Solutions Architect (FSA) team, you will lead a team of AI/ML engineers across India who bridge the gap between AI products and production-grade reality within customers. You are responsible for a team that doesn't just consult, but codes, debug and deploys tailored agentic solutions directly within customer environments.In this role, you will provide technical mentorship to your team while balancing alignment with Product, Engineering, and Google Cloud Regional Sales leadership. You will empower and unblock the team as they resolve production-level obstacles, including data readiness issues, integration complexities, and state-management challenges that hinder AI from achieving enterprise-grade maturity.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 Serve as the technical lead, establishing code standards, architectural standard procedures, and benchmarks to elevate engineering excellence across the team. Partner with Sales and Tech Leadership to define requirements for opportunities, deploying experts (MLOps, GenMedia, or Agentic systems) to key accounts. Lead technical hiring for the Field Solutions Architect team, evaluating AI/ML expertise, systems engineering, and coding skills to build the engineering squad. Identify skill gaps in emerging tech (tool-calling, and foundation models), ensuring the team maintains subject-matter-expertise in an evolving AI stack. Collaborate with Product and Engineering to resolve blockers and translate field insights into road maps while building internal tools to drive organizational efficiency. 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: Hyderabad, Telangana, India; Gurugram, Haryana, India.Minimum qualifications: Bachelor's degree or equivalent practical experience. 4 years of experience in Go-to-Market Strategy, Sales Operations, Strategy and Operations, Management Consulting, Finance, or Program Management. Experience managing business activities, such as annual business planning, headcount management, running business reviews, or goal setting. Preferred qualifications: MBA or other relevant advanced degree. Experience tailoring and delivering reporting and presentations, asking questions, and leading conversations that drive results. Experience collaborating with cross-functional teams and influencing without authority to drive operational excellence, delivery of priority initiatives, process improvements, and change management. Experience of working with software engineers or technical consultants. Experience in technical program management, delivering cross-functional programs. Experience in executive stakeholder management with the ability to translate technical data into narratives. 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. Our team’s mission is to ensure key AI and automation initiatives for gTech Ads activate their full business impact. You will be responsible for providing technical insights that influence how we sequence, build, and deploy tools for the gTech Ads ecosystem.As a member of the team within the Global Server Operations (gSO) Tools, Automation, and Infrastructure (TAI) team, you will serve as a bridge between engineering execution and business strategy. You will be discussing technical trade-offs with software engineers, and explaining automation return-on-investment and narratives to executives.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 Lead multi-quarter technical programs from conception to business impact, ensuring all efforts converge on achieving gTech Ads’ AI and Automation priorities. Partner with engineering to perform technical due diligence, evaluate scope, and establish milestones. Use the technical knowledge to challenge engineering on sequencing. Act as the primary storyteller for the initiatives, translating progress tracking into decision-making insights for leadership. Verify that tooling solutions meet business needs and activate promised results. Own and manage a portfolio of programs, creating processes to track progress, manage dependencies, and facilitate leadership reviews while triaging feature requests and bugs. 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: Hyderabad, Telangana, India; Gurgaon, Haryana, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 3 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. 5 years of experience managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. 5 years of experience in operations management (i.e. process improvement, operational reviews, optimizing workflows, etc). 5 years of experience working with Unix or Linux operating systems/commands. 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. 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, troubleshoot and resolve issues with Google's advertisers and Sales teams, agencies and partners. Learn the AI powered Ads products like PMax, and Ads platforms. Troubleshoot complex technical product issues, apply product expertise, solve complex technical customer issues and escalations and carry out strategic projects. 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.

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; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. Experience building machine learning or data science solutions. Experience writing software in Python, Scala, R, or similar. Experience with data structures, algorithms, and software design. Ability to travel up to 30% of the time. Preferred qualifications: Experience working with recommendation engines, data pipelines, or distributed machine learning, data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting, architecting and rolling out new technology and solution initiatives. Experience with core data science techniques. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, ETL/ELT and reporting/analytic tools and environments. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent customer-facing communication and listening skills. 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. As a Cloud Engineer, you will play a key role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the full potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs. In this role, you will lead the timely execution of adopting the Google Cloud Platform solutions to the customer’s 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 Deliver effective big data and machine learning solutions and solve technical customer issues. Act as a technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product issues, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver best practice recommendations, tutorials, blog articles, and technical presentations adapting to different levels of key business and technical stakeholders. 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: Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor’s degree or equivalent practical experience. 3 years of experience in troubleshooting technical issues for internal or external partners or customers. Experience in 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. 5 years of experience in managing projects and working with analytics, software coding, or customer-side web technologies. 5 years of experience with data analysis and SQL/MySQL. 5 years of experience in a customer-facing role. Experience with using Google Ads or other online advertising solutions and the media or technology landscape. Experience in business analysis to conduct analytics, develop dashboards, and make recommendations. 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 Verify the functionality of a developer product feature and provide feedback to product or engineering teams that result in improvements to the developer experience. Create product requirement documents (PRDs) to record product specifications, validate PRDs to ensure customer/partner and internal needs are met. Help to scale existing or create repeatable solutions (e.g., best practices recommendations, tutorials, blog articles, sample code) and ensure documentation of repeatable solutions. Help to write solution code in collaboration with internal or external developers, users, partners, clients or stakeholders. Help to build and maintain relationships with stakeholders in customer or partner organizations to deliver or manage quality technical solutions and services. 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; Gurugram, Haryana, India; Hyderabad, Telangana, India.Minimum qualifications: Bachelor's degree in Computer Science, Mathematics, a related technical field, or equivalent practical experience. 3 years of experience in building machine learning or data science solutions. Experience in Python, Scala, R, or related languages, including data structures, algorithms, and software design. Ability to travel up to 30% of the time as needed. Preferred qualifications: Experience with recommendation engines, data pipelines, or distributed machine learning with data analytics, data visualization techniques and software, and deep learning frameworks. Experience in software development, professional services, solution engineering, technical consulting with architecting and rolling out new technology and solution initiatives. Experience with data science techniques. Knowledge of data warehousing concepts, including data warehouse technical architectures, infrastructure components, Extract, Transform, and Load/Extract, Load and Transform (ETL/ELT) and reporting tools and environments. Knowledge of cloud computing, including virtualization, hosted services, multi-tenant cloud infrastructures, storage systems, and content delivery networks. Excellent communication skills. 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 play a role in ensuring that customers have the best experience moving to the Google Cloud machine learning (ML) suite of products. You will design and implement machine learning solutions for customer use cases, leveraging core Google products. You will work with customers to identify opportunities to transform their business with machine learning, and will travel to customer sites to deploy solutions and deliver workshops designed to educate and empower customers to realize the potential of Google Cloud. You will have access to Google’s technology to monitor application performance, debug and troubleshoot product code, and address customer and partner needs.You will lead the execution of adopting the Google Cloud Platform solutions to the customer’s 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 Deliver big data and machine learning solutions and solve technical customer tests. Act as a trusted technical advisor to Google’s customers. Identify new product features and feature gaps, provide guidance on existing product tests, and collaborate with Product Managers and Engineers to influence the roadmap of Google Cloud Platform. Deliver recommendations, tutorials, blog articles, and technical presentations adapting to different levels of business and technical stakeholders. 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.