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Google Developer Jobs in Virginia (NOW HIRING)

Google Cloud Engineer

Herndon, VA · On-site

$57.25 - $76.50/hr

Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments ... At least one Google Cloud Professional Certification * Experience working within Agile teams

Google Cloud Engineer

Herndon, VA · Remote

$57.25 - $76.50/hr

Strong understanding of DevOps practices and experience implementing CI/CD in cloud environments ... At least one Google Cloud Professional Certification * Experience working within Agile teams

About the job Google Cloud accelerates every organization's ability to digitally transform its ... developers build more sustainably. Customers in more than 200 countries and territories turn to ...

About the job Our Security team works to create and maintain the safest operating environment for Google's users and developers. Security Engineers work with network equipment and actively monitor ...

Showing results 41-60

Google Developer information

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$16

$52

$81

How much do google developer jobs pay per hour?

As of Sep 7, 2026, the average hourly pay for google developer in Virginia is $52.39, according to ZipRecruiter salary data. Most workers in this role earn between $40.05 and $64.09 per hour, depending on experience, location, and employer.

What is a Google developer?

Google Developers are individuals or professionals who use Google’s technologies, tools, and platforms to build applications, websites, or solutions. They may work with products like Android, Chrome, Firebase, Google Cloud, and more. Google Developers can be independent or part of organizations, and they often participate in Google’s developer communities, events, and programs to enhance their skills and stay updated with the latest advancements.

What are the key skills and qualifications needed to thrive as a Google developer?

To thrive as a Google Developer, you need solid programming skills (such as Java, Python, or Kotlin), experience with Google platforms (like Android or Google Cloud), and often a relevant degree or certification. Familiarity with tools such as Android Studio, Firebase, and Google APIs is typically expected. Creative problem-solving, collaboration, and strong communication are important soft skills for working in diverse, fast-paced teams. These skills enable developers to build scalable, innovative applications that integrate seamlessly with Google's ecosystem and meet user needs.

How does a Google developer typically collaborate with cross-functional teams during a project?

As a Google Developer, collaboration with cross-functional teams—including product managers, designers, and quality assurance engineers—is a key part of the development process. You'll participate in regular meetings to align on project goals, share technical insights, and address challenges. This role often requires clear communication to translate technical concepts for non-engineering stakeholders and to ensure that features are implemented in line with both user needs and business objectives. Efficient teamwork and adaptability are essential, as priorities may shift and fast-paced iteration is common.

What is the difference between Google Developer vs Android Developer?

AspectGoogle DeveloperAndroid Developer
Primary FocusDeveloping Google products and services, including APIs, cloud solutions, and platformsDesigning, building, and maintaining Android applications
Required SkillsGoogle APIs, cloud computing, programming languages (Java, Python), platform integrationAndroid SDK, Java/Kotlin, UI/UX design, mobile app development
Work EnvironmentTech companies, Google offices, cloud service providersMobile app development firms, tech startups, freelance projects

Google Developers focus on creating and maintaining Google platforms, APIs, and cloud services, while Android Developers specialize in building mobile applications for Android devices. Both roles require programming skills, but their work environments and project types differ significantly.

How to get a Google Developer job?

To get a Google Developer job, candidates should have strong programming skills in languages like Java, Python, or C++, and experience with Google technologies such as Android, Cloud, or APIs. Building a portfolio of projects, obtaining relevant certifications, and gaining experience through internships or open-source contributions can improve chances. Familiarity with Google's developer tools and a solid understanding of software development best practices are also beneficial.

What are the most commonly searched types of Google Developer jobs in Virginia?

The most popular types of Google Developer jobs in Virginia are:

What job categories do people searching Google Developer jobs in Virginia look for?

The top searched job categories for Google Developer jobs in Virginia are:

Infographic showing various Google Developer job openings in Virginia as of August 2026, with employment types broken down into 73% Full Time, and 27% Contract. Highlights an 100% In-person job distribution, with an average salary of $108,962 per year, or $52.4 per hour.

Staff Software Engineer, AI/ML, Google Public Sector

Google Inc.

Reston, VA • On-site

$207 - $300/hr

Other

Re-posted 11 days ago


Key responsibilities

  • Architect and operate advanced data synthesis pipelines and AI-based retrieval applications.

  • Manage petabyte-scale data ingestion and synchronization across compute environments, including local storage, cloud backends, and on‑prem resources.

  • Lead technical direction and provide engineering mentorship for groups developing complex production software systems.


Google rating

8.8

Company rating: 8.8 out of 10

Based on 103 frontline employees who took The Breakroom Quiz

48th of 247 rated software companies


Job description

Staff Software Engineer, AI/ML, Google Public Sector

Google Reston, VA, USA

  • Bachelor's degree or equivalent practical experience.
  • 8 years of experience programming in C++, Java, Python, Kotlin or Go.
  • Experience in technical leadership, including defining technical road maps, delivering projects, and maintaining code quality standards.
  • Experience in parallel computing paradigms, hardware-level optimization, and low-level accelerator optimization.
Preferred qualifications
  • Master's degree or PhD in a quantitative discipline (e.g., Computer Science, Physics, Applied Mathematics, or similar).
  • 8 years of experience designing, building, and operating large-scale distributed data systems and production machine learning deployments.
  • Experience deploying modern deep learning architectures using frameworks like PyTorch or TensorFlow on large-scale clusters.
  • Experience with cloud-native infrastructure (Docker, Kubernetes) and managing distributed filesystems and cloud object storage.
  • Active, or the ability to obtain, a Secret security clearance.

We are seeking a technical Senior AI/ML Software Engineer to lead the architecture and deployment of large-scale distributed data systems and advanced machine learning pipelines. In this role, you will design infrastructure capable of analyzing high-throughput data streams. You will bridge the gap between High-Performance Computing (HPC) and modern AI applications, optimizing complex inference workloads for specialized hardware accelerators while guiding cross-functional engineering teams.

Responsibilities
  • Architect and operate advanced data synthesis pipelines and AI-based retrieval applications.
  • Manage petabyte-scale data ingestion and synchronization across compute environments, including local storage, cloud backends, and on‑prem resources.
  • Optimize highly parallel numerical operations and ML inference algorithms for specialized hardware accelerators.
  • Lead technical direction and provide engineering mentorship for groups developing complex production software systems.
  • Implement rigorous data life‑cycle policies to ensure system resilience, data integrity, and fault recovery at scale.

The US base salary range for this full-time position is $207,000-$300,000 + 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.

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.

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