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Google Cloud Jobs in Reston, VA (NOW HIRING)

As we expand our Google Cloud and AI practice, we're seeking a Lead Cloud AI Engineer to serve as the senior technical authority for enterprise cloud migration and AI platform modernization ...

Cloud Engineer

Reston, VA

$58 - $77.50/hr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

Cloud Engineer

Reston, VA · On-site

$58 - $77.50/hr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

Cloud Engineer

Reston, VA · On-site

$58 - $77.50/hr

Founded by ex-Googlers with engineers from Google, Amazon, and Capital One, SZNS differentiates itself particularly in AI, data engineering, blockchain, and cloud-native software application ...

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How much do google cloud jobs pay per hour?

As of Aug 14, 2026, the average hourly pay for google cloud in Reston, VA is $64.20, according to ZipRecruiter salary data. Most workers in this role earn between $56.25 and $77.02 per hour, depending on experience, location, and employer.

What is a Google Cloud?

A Google Cloud job typically refers to a role that involves working with Google Cloud Platform (GCP) services to design, develop, manage, or support cloud-based solutions. These roles can include cloud engineers, architects, developers, and data analysts who help organizations leverage GCP for computing, storage, AI, and more. Responsibilities vary by role but generally involve cloud infrastructure management, security, and optimization to improve business operations.

What do Google Cloud professionals do?

Google Cloud professionals often work on projects such as designing and deploying scalable cloud architectures, migrating legacy systems to Google Cloud Platform, automating infrastructure with tools like Terraform, or optimizing application performance and security in the cloud. They frequently collaborate with software engineers, data analysts, and DevOps teams to ensure cloud solutions align with business objectives. Many roles also involve client-facing responsibilities, providing technical support or consulting services to help customers leverage Google Cloud services effectively. This diverse range of projects provides excellent opportunities for skill development and career advancement.

Is Google Cloud good to work for?

Google Cloud offers roles that involve working with cloud computing, data management, and infrastructure, often requiring skills in technical areas such as networking, programming, and certifications like Google Cloud Certified. Employees generally report competitive salaries, benefits, and opportunities for professional growth, but experiences can vary based on team and location.

What skills and qualifications are needed for a Google Cloud role?

To excel in a Google Cloud role, candidates typically need expertise in cloud computing, infrastructure design, and programming languages such as Python or Java, along with a bachelor’s degree in computer science or a related field. Familiarity with Google Cloud Platform (GCP) services, tools like Kubernetes and Docker, and certifications such as Google Cloud Certified – Professional Cloud Architect are highly valued. Strong problem-solving skills, effective communication, and the ability to work collaboratively within cross-functional teams are important soft skills. These competencies ensure that professionals can design, implement, and manage scalable cloud solutions that meet organizational needs and drive business success.

What job categories do people searching Google Cloud jobs in Reston, VA look for?

The top searched job categories for Google Cloud jobs in Reston, VA are:

What cities near Reston, VA are hiring for Google Cloud jobs?

Cities near Reston, VA with the most Google Cloud job openings:

Infographic showing various Google Cloud job openings in Reston, VA as of August 2026, with employment types broken down into 94% Full Time, and 6% Contract. Highlights an 77% In-person, 6% Hybrid, and 17% Remote job distribution, with an average salary of $133,545 per year, or $64.2 per hour.

Customer Engineer, AI Infrastructure, Google Public Sector

Google

Reston, VA • On-site

$111K - $146K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 23 days ago


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

49th of 244 rated software companies


Job description

info_outline
X In accordance with Washington state law, we are highlighting our comprehensive benefits package, which is available to all eligible US based employees. Benefits for this role include:
  • Health, dental, vision, life, disability insurance
  • Retirement Benefits: 401(k) with company match
  • Paid Time Off: 20 days of vacation per year, accruing at a rate of 6.15 hours per pay period for the first five years of employment
  • Sick Time: 40 hours/year (increased to 69 hours/year for Seattle) including 5 discretionary sick days per instance
  • Maternity Leave (Short-Term Disability Baby Bonding): 28-30 weeks
  • Baby Bonding Leave: 18 weeks
  • Holidays: 13 paid days per year
Note: By applying to this position you will have an opportunity to share your preferred working location from the following: Reston, VA, USA; Washington D.C., DC, USA.
Minimum qualifications:
  • Bachelor's degree or equivalent practical experience.
  • 10 years of experience with cloud native architecture in a customer-facing or support role.
  • Experience engaging with, or presenting to, technical stakeholders or executive leaders.
  • Experience with machine learning (ML) model development and deployment.
  • Active US Government Top Secret/Sensitive Compartmentalized Information (TS/SCI) security clearance with polygraph.
  • Ability to travel up to 20% of the time.

Preferred qualifications:
  • Experience with prevailing ML development frameworks (e.g., Keras, PyTorch, Tensorflow, JAX).
  • Experience with both GPU and TPU based infrastructure.
  • Familiarity with prevailing AI related tooling (Slurm, vLLM, Ray, Vertex, K8s, etc.).
  • Familiarity across the AI software development life cycle (data processing, model building, training, evaluation, deployment).
  • Ability to deliver results and work cross-functionally to position and orchestrate a solution consisting of multiple products.

About the job
As a Customer Engineer (CE), you will partner with technical Sales teams to differentiate Google Cloud to our customers. You will serve as the customer's primary technical partner and trusted advisor, engaging in technical-led conversations to understand their business issues. You will troubleshoot technical questions and roadblocks, engage in proofs of concepts and demos, and use your expertise to architect cross-pillar cloud solutions that solve these business issues. You will drive the technical win and define the delivery and consumption plans. You will use your presentation skills to engage with technical and business leaders, and persuasively present practical and useful solutions on Google Cloud. You will have excellent technical, communication and organizational skills.
You will focus on identifying, pursuing, and winning new business workloads and driving pen testing within existing ones. You will have a breadth of technical expertise, spanning infrastructure modernization, application modernization, data analytics and more. You will blend sales expertise, market knowledge and direct technical engagement to show the value of the Google Cloud portfolio.
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.Individual pay is determined by factors including job-related skills, experience, and relevant education or training.
US: $152000 - $222000 (USD) 42.86% bonus target equity benefits
Learn more about benefits at Google .
Responsibilities
  • Accelerate customer time-to-value on the largest AI Infrastructure and High Performance Computing (HPC) workloads in Google Public Sector.
  • Build a trusted advisory relationship with customer architects, engineering leadership, and research teams. Identify customer priorities, technical objections and design strategies focused on Google AI Infrastructure and HPC ecosystem to deliver business value and resolve blockers.
  • Provide domain expertise around hardware accelerators (GPU/TPU), prevailing ML Frameworks (PyTorch, Keras, JAX), and model building techniques.
  • Make recommendations on Graphics Processing Unit/Tensor Processing Unit (GPU/TPU) hardware, framework selection, benchmarks, and model building required to successfully implement a complete solution.
  • Manage the holistic research engineering relationship with customers by collaborating with specialists, product management, technical teams, and more.

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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