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 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.

The US base salary range for this full-time position is $177,000-$263,000 + bonus + equity + benefits. Our salary ranges are determined by role, level, and location. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

fPlease note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, equity, or benefits. Learn more about benefits at Google.

Responsibilities

• Work with customer technical leads, client executives, and partners to manage and deliver 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 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 sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.

• Travel 50% of the time to customer sites and facilities.

Minimum qualifications

• Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.

• 8 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 Tensor Flow, Py Torch, Jax, etc.

• Experience in one or more of the following: Networking, DevOps, Security, Compute, Storage, Hadoop, Kubernetes, or SRE.

Preferred qualifications

• MBA or Master's degree in Computer Science, Engineering or a related field.

• 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).

• Experience in AI/ML Infrastructure: (e.g., AI/ML frameworks like JAX, Py Torch, or OpenXLA).

• Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations.