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Customer Engineer Google Jobs in Virginia (NOW HIRING)

Google Inc.

Key Account Executive, Google Cloud

Reston, VA · On-site

$147 - $204/hr

Our teams are dedicated to helping our customers - developers, small and large businesses ... Google Cloud accelerates every organization's ability to digitally transform its business and ...

Posted today

Google

Senior Security Engineer, Public Sector

Reston, VA · On-site

$119K - $163K/yr

... lines, protecting Google Public Sector's most critical customers. In this role, you will be ... Engineer and maintain critical security tools and infrastructure. Act as a subject matter expert ...

Dark Wolf Solutions

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

Working with customers, partners, and internal project team members to understand customer business ... programming languages (e.g. Python) * Strong understanding of Google Cloud services and ...

Dark Wolf Solutions

Google Cloud Engineer

Herndon, VA · On-site

$57.25 - $76.50/hr

Working with customers, partners, and internal project team members to understand customer business ... programming languages (e.g. Python) * Strong understanding of Google Cloud services and ...

Google

Senior Datacenter Engineer

Sterling, VA · On-site

$103K - $142K/yr

Customers in more than 200 countries and territories turn to Google Cloud as their trusted partner ... Conduct engineering analysis and research innovative designs for data center equipment and ...

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Customer Engineer Google information

See Virginia salary details

$38.7K

$77.9K

$107.6K

How much do customer engineer google jobs pay per year?

As of Aug 10, 2026, the average yearly pay for customer engineer google in Virginia is $77,895.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,400.00 and $89,200.00 per year, depending on experience, location, and employer.

What does a typical collaboration look like between a customer engineer at Google and the sales team during the pre-sales process?

As a Customer Engineer at Google, you work closely with the sales team to understand client needs, demonstrate relevant technical solutions, and address any technical concerns or questions. This collaboration often involves joint client meetings, product demonstrations, and the creation of customized solution architectures. You'll be responsible for translating complex technical concepts into clear, value-driven benefits for prospective clients, ensuring that the proposed solutions align with customer objectives. This teamwork is essential for building trust with clients and supporting the sales team in closing deals.

What is a customer engineer at Google?

A Customer Engineer (CE) at Google is a technical expert who works directly with customers to understand their business needs and help them adopt Google’s cloud solutions. CEs provide pre-sales technical support, conduct product demonstrations, and help design solutions that leverage Google Cloud technologies. They act as trusted advisors, collaborating with sales teams and customers to ensure successful deployment and integration of Google products. Their role requires strong technical knowledge, communication skills, and a customer-focused mindset.

What are the key skills and qualifications needed to thrive as a customer engineer at Google, and why are they important?

To thrive as a Customer Engineer at Google, you need a strong background in cloud computing, technical troubleshooting, and solution architecture, often backed by a degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP), APIs, and relevant certifications such as Google Cloud Certified – Professional Cloud Architect are typically required. Exceptional communication, problem-solving abilities, and a customer-centric mindset help you effectively collaborate with clients and internal teams. These skills are crucial for delivering tailored technical solutions that meet customer needs and drive successful cloud adoption.

What is the difference between Customer Engineer Google vs Technical Support Engineer?

AspectCustomer Engineer GoogleTechnical Support Engineer
Required CredentialsBachelor's degree in Computer Science or related field; relevant certificationsTechnical degree or equivalent experience; certifications may vary
Work EnvironmentCustomer-facing roles, on-site and remote support, consultingHelpdesk, call centers, remote troubleshooting
Employer & Industry UsagePrimarily in tech companies like Google, cloud services, enterprise solutionsIT service providers, tech companies, hardware/software vendors

The main difference is that Customer Engineer Google focuses on providing technical solutions, consulting, and support directly to clients, often involving pre-sales and post-sales activities. Technical Support Engineers typically handle troubleshooting and resolving technical issues remotely or on-site, with a broader scope across various companies and industries.

What are popular job titles related to Customer Engineer Google jobs in Virginia? For Customer Engineer Google jobs in Virginia, the most frequently searched job titles are:
What job categories do people searching Customer Engineer Google jobs in Virginia look for? The top searched job categories for Customer Engineer Google jobs in Virginia are:
Customer Engineer Google jobs near you
Infographic showing various Customer Engineer Google job openings in Virginia as of August 2026, with employment types broken down into 78% Full Time, 19% Part Time, and 3% Contract. Highlights an 89% Physical, 1% Hybrid, and 10% Remote job distribution, with an average salary of $77,895 per year, or $37.4 per hour.

Forward Deployed Engineer IV, GenAI, Public Sector

Google

Reston, VA • On-site

Full-time

Posted 10 days ago

Google rating

8.9

Company rating: 8.9 out of 10

Based on 102 frontline employees who took The Breakroom Quiz

40th of 242 rated software companies

Job description

Minimum qualifications:
  • Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience.
  • 8 years of experience with software development using Python or similar coding languages.
  • Experience architecting AI systems on cloud platforms (e.g. Google Cloud Platform (GCP)).
  • Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions.
  • Experience leading technical discovery sessions with customers.

Preferred qualifications:
  • Master's degree or PhD in AI, Computer Science, or a related technical field.
  • Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation).
  • Proven experience architecting integrated systems, navigating real-time inference constraints, and implementing model quantization for resource-constrained environments.
  • Proficiency in Vertex AI Pipelines, Kubeflow, or MLflow to implement robust CI/CD/CT automation and experimentation.
  • Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing.
  • Designing resilient data engineering pipelines using BigQuery and VertexAI for enterprise-scale analytics.

About the job
The Google Public Sector Forward Deployed Engineering (GPS FDE) team is a squad of direct "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. Operating with a high-agency startup mindset, our engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside our customers. We resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. Ultimately, the GPS FDE team accelerates the safe, reliable adoption of generative AI across mission-critical operations while feeding field insights directly back to Google Cloud Product engineering.
Google Public Sector brings the magic of Google to the mission of government and education with solutions purpose-built for enterprises. We focus on helping United States public sector institutions accelerate their digital transformations, and we continue to make significant investments and grow our team to meet the complex needs of local, state and federal government and educational institutions.
Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $207000 - $300000 (USD) 20% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, model context protocol (MCP) servers) that drive measurable return on investment.
  • Architect and code the connective tissue between Google's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team.
  • Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet rigorous requirements for accuracy, safety, and latency.
  • Identify repeatable field patterns and friction points in Google's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams.
  • Co-build with Customer Engineering teams to instill Google-grade development best practices, ensuring long-term project success and high end-user adoption.

Information collected and processed as part of your Google Careers profile, and any job applications you choose to submit is subject to Google's Applicant and Candidate Privacy Policy .
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 .
If you have a need that requires accommodation, please let us know by completing our Accommodations for Applicants form .
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.
Equity is granted exclusively and discretionarily by Alphabet Inc. on the basis of an agreement concluded between you and Alphabet Inc. Alphabet Inc. is your sole contractual partner with respect to equity grants. GSU grants are not guaranteed, are discretionary, are subject to approval by the Alphabet Inc. board of directors or its delegate, the terms of the relevant Alphabet Inc. stock plan, and your grant agreement. They have no impact on statutory payments. Current or past grants do not confer an acquired right.

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