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Google Security Jobs in Reston, VA (NOW HIRING)

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How much do google security jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for google security in Reston, VA is $19.80, according to ZipRecruiter salary data. Most workers in this role earn between $16.01 and $19.52 per hour, depending on experience, location, and employer.

What is a Google Security?

A Google Security job involves protecting Google's systems, data, and users from cyber threats. Security professionals at Google work in areas like threat detection, incident response, cloud security, and vulnerability management. They develop cutting-edge security technologies, ensure compliance, and mitigate risks across Google's vast infrastructure. These roles require strong technical skills in cybersecurity, programming, and risk assessment.

What are some typical challenges faced by professionals in a Google Security role?

Working in Google Security often involves navigating complex and rapidly evolving threat landscapes while ensuring compliance with industry regulations across global operations. Professionals may face challenges in quickly identifying and mitigating zero-day vulnerabilities or responding to sophisticated phishing and social engineering attacks. Close collaboration with engineering, legal, and product teams is essential to create effective security solutions without hindering innovation. Staying current with emerging technologies and ongoing professional development are also integral parts of the role.

What are the key skills and qualifications needed to thrive in the Google Security position, and why are they important?

To excel in a Google Security position, candidates generally need a solid background in cybersecurity principles, risk management, and a degree in computer science or a related field. Experience with security tools like SIEM systems, penetration testing platforms, and certifications such as CISSP or CEH are commonly required. Exceptional analytical thinking, problem-solving abilities, and effective communication skills help individuals succeed in dynamic, collaborative environments. These competencies ensure strong safeguarding of data and systems while facilitating successful teamwork and threat mitigation.

How do I get into Google Security?

To pursue a role in Google Security, candidates typically need a strong background in cybersecurity, computer science, or related fields, along with experience in security protocols, threat analysis, and incident response. Relevant skills include knowledge of security tools, programming, and certifications such as CISSP or CEH, and applicants should demonstrate problem-solving abilities and familiarity with Google's security environment. Applying through Google's careers portal and preparing for technical interviews are essential steps in the process.

What are popular job titles related to Google Security jobs in Reston, VA?

For Google Security jobs in Reston, VA, the most frequently searched job titles are:

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

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

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

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

Infographic showing various Google Security job openings in Reston, VA as of August 2026, with employment types broken down into 82% Full Time, 15% Part Time, 1% Temporary, and 2% Contract. Highlights an 91% Physical, 2% Hybrid, and 7% Remote job distribution, with an average salary of $41,188 per year, or $19.8 per hour.

Forward Deployed Engineer IV, Google Public Sector

Google

Reston, VA • On-site

Full-time

Re-posted 5 days ago


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

info_outline
X In most instances, this position requires in-person interviews as part of the hiring process.
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 Retrieval-Augmented Generation (RAG)-like architectures to power enterprise AI solutions.
  • Experience leading technical discovery sessions with customers.
  • Must possess an active Top Secret/SCI security clearance with current polygraph.

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 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
As a part of the Google Public Sector Forward Deployed Engineering (GPS FDE) team, you will join squad of "innovator-builders" who rapidly deploy production-grade, secure AI solutions across Federal and SLED environments. You will operate with a high-agency startup mindset, where engineers don't just advise; they actively code, debug, and co-build bespoke agentic workflows directly alongside customers. You will resolve complex integration, data sovereignty, and security challenges within strict compliance frameworks. You will help the GPS FDE team accelerate 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 (ROI).
  • 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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