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Remote Google Cybersecurity Jobs in Oregon (NOW HIRING)

The role involves collaborating with software development, cybersecurity, and test engineering ... Experience with cloud platforms such as AWS, Azure, or Google Cloud. * Experience with relational ...

The ideal candidate possesses deep expertise across cybersecurity architecture, cloud security ... Google Professional Cloud Security Engineer Palo Alto PCNSE Fortinet NSE 4 or higher CrowdStrike ...

Senior Cyber Threat Analyst

$99K - $128K/yr

... cybersecurity team! The Senior Cyber Threat Analyst is responsible for monitoring and analyzing ... Remote work requires a high level of trust in our employees, and we strictly adhere to the details ...

Network Security Engineer

OR · Remote

$104K - $142K/yr

Configure and maintain firewalls, VPNs, network segmentation, NAC, and secure remote access ... as AWS or Google Cloud Platform. * Bachelor's degree in Computer Science, Cybersecurity ...

Solution Architect

OR · On-site +1

$63 - $83/hr

Remote (U.S.) Clearance: Ability to obtain and maintain a Public Trust Salary Range: 190K - 235K ... Collaborate with infrastructure, integration, cybersecurity, DevSecOps, data, and application ...

This is a leadership role responsible for overseeing the end-to-end delivery of cybersecurity ... Remote (U.S.)Preferred: Virginia, Washington D.C., Maryland About Tyto Athene Compensation:

Application Security Engineer

$58.75 - $78.50/hr

Overview Application Security Engineer Remote within the US US Citizen Approximately 8 Month ... This role will be part of the Application Edge Protection Service within the CyberSecurity pillar.

Infrastructure Architect

OR · On-site +1

$66 - $84.50/hr

Remote (U.S.) Clearance: Ability to obtain and maintain a Public Trust Salary Range: 160K - 190K ... This role will work closely with engineering, cybersecurity, application modernization, AI platform ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... You'll work alongside AI architects, software engineers, platform engineers, cybersecurity ...

Integration Architect

OR · Remote

$70.75 - $91.25/hr

Remote (U.S.) Clearance: Ability to obtain and maintain a Public Trust Salary Range: 160K - 185K ... Collaborate with infrastructure, cybersecurity, application development, data, and DevSecOps teams ...

United States - Remote Clearance: Ability to obtain and maintain a Public Trust LTS is seeking a ... This individual will work across engineering, data, product, cybersecurity, and leadership teams to ...

Remote Google Cybersecurity information

What are the key skills and qualifications needed to thrive as a remote Google Cybersecurity professional, and why are they important?

To thrive as a Remote Google Cybersecurity professional, you need a solid understanding of network security, risk assessment, and incident response, typically backed by a degree in computer science or cybersecurity and industry certifications such as Google Cybersecurity Professional Certificate or CISSP. Proficiency with security tools like SIEM platforms, endpoint protection, and Google Cloud security systems is essential. Strong analytical thinking, communication skills, and the ability to work independently or in virtual teams set top candidates apart. These skills and qualities are crucial for effectively identifying threats, protecting digital assets, and collaborating securely in a remote, cloud-based environment.

What is a remote Google Cybersecurity job?

Remote Google Cybersecurity jobs are positions within Google's cybersecurity teams that can be performed from a remote location, rather than requiring employees to work onsite. These roles focus on protecting Google’s data, infrastructure, and users from cyber threats by developing secure systems, monitoring for vulnerabilities, and responding to security incidents. Typical positions include security engineers, analysts, and incident responders. Working remotely allows professionals to collaborate with global teams using advanced security tools and protocols. These jobs require a strong background in cybersecurity and familiarity with Google’s technologies and cloud platforms.

How does a remote Google Cybersecurity professional typically collaborate with team members and stakeholders across different time zones?

As a remote Google Cybersecurity professional, you’ll regularly collaborate with global teams using tools like Google Meet, Chat, and shared documentation platforms. Coordination often involves asynchronous communication and flexible scheduling to accommodate various time zones. Team members participate in virtual stand-ups, incident response drills, and cross-functional projects, ensuring clear documentation and knowledge sharing. This setup fosters a supportive environment that values proactive communication and strong organizational skills to keep security initiatives on track.

What is the difference between Remote Google Cybersecurity vs Remote Cloud Security Engineer?

AspectRemote Google CybersecurityRemote Cloud Security Engineer
CertificationsGoogle Cloud certifications, CISSP, CompTIA Security+Cloud provider certifications (AWS, Azure, Google Cloud), CISSP, CompTIA Security+
Work EnvironmentPrimarily Google Cloud environment, security teams within Google or clientsVarious cloud platforms, security teams in cloud service providers or organizations
Industry UsageTech, finance, healthcare using Google CloudAny industry utilizing cloud infrastructure, multi-cloud environments
Job FocusProtecting Google Cloud assets, compliance, threat detectionSecuring cloud infrastructure across platforms, architecture, and deployment

Remote Google Cybersecurity roles focus on securing Google Cloud environments, often requiring Google-specific certifications. Remote Cloud Security Engineers work across multiple cloud platforms, emphasizing broad cloud security skills. Both roles involve protecting cloud assets but differ in platform specialization and certification requirements.

What are the most commonly searched types of Google Cybersecurity jobs in Oregon? The most popular types of Google Cybersecurity jobs in Oregon are:
What are popular job titles related to Remote Google Cybersecurity jobs in Oregon? For Remote Google Cybersecurity jobs in Oregon, the most frequently searched job titles are:
What job categories do people searching Remote Google Cybersecurity jobs in Oregon look for? The top searched job categories for Remote Google Cybersecurity jobs in Oregon are:
What cities in Oregon are hiring for Remote Google Cybersecurity jobs? Cities in Oregon with the most Remote Google Cybersecurity job openings:

Software Engineer (US-Remote)

Gnostech LLC

OR • Remote

Full-time

Re-posted 29 days ago


Job description

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Careers >> Software Engineer (US-Remote)
Software Engineer (US-Remote)
Summary
Title: Software Engineer (US-Remote) ID: 1191 Location: US-Remote or Marlton, NJ area
Description

A Software Engineer is needed to design, develop, and maintain modern software applications and services. The engineer will work within a cross-functional team to build scalable cloud-native applications, microservices, and AI-enabled systems supporting both internal and external products. The role involves collaborating with software development, cybersecurity, and test engineering teams to design, implement, document, and deploy high-quality software solutions.

Overview

Location

  • US-Remote or Marlton, NJ area

Job Title

  • Software Engineer

Salary

  • Commensurate with industry position, depending on experience

Shift

  • Typical: Monday through Friday 9am to 5pm

Travel

  • Less than 5%

Position Responsibilities

  • Design, develop, test, and deploy scalable applications, APIs, and microservices using modern software engineering practices.
  • Build and integrate AI-enabled capabilities into applications, including machine learning models, LLM integrations, and data-driven services.
  • Participate in architecture and design reviews to ensure solutions meet scalability, security, and performance requirements.
  • Develop cloud-native services and containerized applications deployed using Docker and Kubernetes.
  • Integrate AI models, data pipelines, and inference services into production systems.
  • Collaborate with cross-functional teams including DevOps, cybersecurity, QA, and product stakeholders.
  • Develop and maintain technical documentation including system architecture diagrams, API specifications, and AI model documentation.
  • Maintain code repositories using modern version control and CI/CD pipelines.
  • Apply secure coding practices and support DevSecOps workflows.
  • Utilize AI-assisted development tools (e.g., LLM coding assistants, code analysis tools) to enhance productivity and code quality.
  • Monitor and troubleshoot applications in distributed environments using logging, observability, and telemetry tools.

Minimum Security Clearance

  • Must be eligible and pass security screening to obtain DoD Top Secret

Required Qualifications and Skills

  • Strong proficiency in software design, development, and debugging.
  • Experience with modern programming languages such as Java, Python, or similar backend technologies.
  • Experience with Spring Boot, REST APIs, and microservices architectures.
  • Experience with AI/ML technologies, including machine learning frameworks (TensorFlow, PyTorch) or modern AI integration tools.
  • Experience integrating AI services, LLM APIs, or intelligent automation capabilities into applications.
  • Experience building containerized applications using Docker and Kubernetes.
  • Experience with cloud platforms such as AWS, Azure, or Google Cloud.
  • Experience with relational databases (MySQL, MariaDB, PostgreSQL).
  • Understanding of CI/CD pipelines, automated testing, and DevSecOps practices.
  • Familiarity with the AI/ML lifecycle including data preparation, model training, evaluation, deployment, and monitoring.
  • Ability to analyze problems, design solutions, and work collaboratively in a team environment.

Additional Desired Qualifications, Skills, Certifications

  • Experience working with LLM frameworks and AI SDKs (OpenAI, LangChain, HuggingFace, etc.).
  • Experience with vector databases or embeddings systems (Pinecone, Weaviate, Elasticsearch, etc.).
  • Experience implementing MLOps pipelines for model deployment and monitoring.
  • Experience with distributed systems, event streaming, or message queues (Kafka, RabbitMQ).
  • Familiarity with observability platforms (Prometheus, Grafana, ELK stack).
  • Experience with NoSQL databases (MongoDB, Cassandra).
  • Active or ability to obtain DoD Top Secret clearance.

Education and Training Required

  • Bachelor's degree (in Engineering, Computer Science, Math, or related field)

Minimum Years of Experience

  • 2+

===============================================================

Gnostech is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, protected veteran status, or disability status. For more information, please visit www.eeoc.gov 
If this position requires a government clearance, the applicants selected will be subject to a government security investigation and must meet eligibility requirements for accessing classified information.

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