Advanced
Experience owning outcomes and decision making, solving ambiguous problems and influencing stakeholders;deep expertise in domain.
About the job
The 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 an 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 closely 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 becoming 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 lessons learned into thought leadership, methodologies, and published assets.
* Interact with business, 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 and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy, Know your rights: workplace discrimination is illegal, Belonging at Google, and How we hire.
Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting.
To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.
Qualifications
* Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
* 7 years of experience in project management and technical solution delivery.
* 5 years of experience in networking, compute infrastructure (e.g., servers, databases, firewalls, load balancers) and architecting, developing, or maintaining cloud solutions in virtualized environments.
* Experience coding in Python, bash scripting, and using OSS frameworks such as TensorFlow, PyTorch, Jax, etc.
* Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.
Preferred qualifications
* Master's degree or MBA in Computer Science, Engineering, or a related field.
* Experience in AI/ML Infrastructure (e.g., AI/ML frameworks like JAX, PyTorch, or OpenXLA).
* Experience in accelerated computing (e.g., Kubernetes, GKE, EKS, and GPU workloads).
* Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations.
* Expertise 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).
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