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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
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Work with customer technical leads, client executives, and partners to manage and deliver successful implementations of cloud solutions, and become a trusted advisor to decision makers throughout the engagement.
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Propose solution architectures and manage the deployment of cloud based distributed virtualized infrastructure solutions according to complex customer requirements and implementation best practices.
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Work with internal specialists, product, and engineering teams to package approaches, best practices, and implement lessons learned into thought leadership, methodologies, and published assets.
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Interact with sales, partners, and customer technical stakeholders to manage project scope, priorities, deliverables, risks and issues, and timelines for successful client outcomes.
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Travel 50% of the time to customer sites and facilities.
Minimum qualifications
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Bachelor's degree in Science, Technology, Engineering, Mathematics, or equivalent practical experience.
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6 years of experience in project management and technical solution delivery.
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4 years of experience in one or more of the following areas: data center infrastructure, networking, DevOps, security, compute, storage, Kubernetes, SRE, or AI/ML infrastructure (e.g., AI/ML frameworks like JAX, Py Torch, or OpenXLA).
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Experience writing Python code in a production environment.
Preferred qualifications
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Master’s degree in Computer Science, Technology, Business, Engineering or equivalent practical experience.
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Experience in one or more of the following specialized domains: advanced networking and storage such as system design of load balancers, firewalls, VPN, and production-grade storage.
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Experience with customer-facing migration, including service discovery, assessment, planning, execution, and operations.
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Experience developing, refactoring, and optimizing AI/ML models.
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About Google

Google specializes in internet-related services and products, including search, advertising, and software.
10,001+
Employees
Mountain View
Headquarters
$1,700B
Valuation
Reviews
3.7
25 reviews
Work-life balance
3.8
Compensation
4.2
Culture
3.4
Career
3.9
Management
2.8
68%
Recommend to a friend
Pros
Excellent compensation and benefits
Smart and talented colleagues
Great perks and work flexibility
Cons
Management and leadership issues
Bureaucracy and slow processes
Constantly changing priorities and reorganizations
Salary Ranges
57,502 data points
Junior/L3
L3
L4
L5
L6
L7
L8
Mid/L4
Principal/L7
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Director
Junior/L3 · Data Scientist L3
0 reports
$176,704
total per year
Base
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Stock
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Bonus
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$150,298
$203,110
Interview experience
9 interviews
Difficulty
3.4
/ 5
Duration
14-28 weeks
Offer rate
44%
Experience
Positive 0%
Neutral 56%
Negative 44%
Interview process
1
Application Review
2
Online Assessment/Technical Screen
3
Phone Screen
4
Onsite/Virtual Interviews
5
Team Matching
6
Offer
Common questions
Coding/Algorithm
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