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Part Time Google Cloud Security Engineer Jobs (NOW HIRING)

Physical Design Lead, ASIC

Sunnyvale, CA · On-site

$159K - $164K/yr

Our customers include Googlers, Google Cloud customers, and billions of Google users worldwide. We ... that enable developers to build the future. From software to hardware our teams are shaping the ...

DevOps Security Contractor

$54 - $74/hr

Come join us. DevOps Security Contractor (Part-Time | 10-20 hrs/month) We are seeking an ... Review current infrastructure (cloud, CI/CD, access controls) and recommend improvements * Conduct ...

IL · On-site

$99K - $225K/yr

Azure Administrator Associate or Azure Security Engineer Certification Clearance: Applicants ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

IL · On-site

$99K - $225K/yr

Azure Administrator Associate or Azure Security Engineer Certification Clearance: Applicants ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

... cloud * Experience with Elastic Common Schema (ECS) and mapping non-standard log sources into ECS ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

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Part Time Google Cloud Security Engineer information

See salary details

$61.5K

$152.8K

$205.5K

How much do part time google cloud security engineer jobs pay per year?

As of Jul 5, 2026, the average yearly pay for part time google cloud security engineer in the United States is $152,773.00, according to ZipRecruiter salary data. Most workers in this role earn between $143,000.00 and $158,500.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as a Part Time Google Cloud Security Engineer, and why are they important?

To thrive as a Part Time Google Cloud Security Engineer, you need expertise in cloud security principles, strong knowledge of Google Cloud Platform (GCP) services, and experience with risk assessment and mitigation, often validated by a relevant degree and Google Cloud Security Engineer certification. Familiarity with tools such as Security Command Center, IAM, Cloud Audit Logs, and automation scripts (e.g., Python, Terraform) is typically required. Strong problem-solving skills, attention to detail, and effective communication are essential soft skills for collaborating with teams and addressing security incidents. These capabilities are crucial for protecting cloud environments, ensuring compliance, and maintaining robust security postures in flexible, project-based work settings.

What is the difference between Part Time Google Cloud Security Engineer vs Part Time Cloud Security Analyst?

AspectPart Time Google Cloud Security EngineerPart Time Cloud Security Analyst
Required CertificationsGoogle Cloud Security Certification, CompTIA Security+CompTIA Security+, CISSP (preferred)
Work EnvironmentCloud environments, primarily Google Cloud PlatformVarious cloud platforms, including Google Cloud, AWS, Azure
Industry UsageTech, finance, healthcare using Google CloudMultiple industries focusing on cloud security monitoring
Common Search/ComparisonFocus on cloud security engineering tasksFocus on security analysis and monitoring

The Part Time Google Cloud Security Engineer typically designs and implements security solutions within Google Cloud, requiring technical expertise in cloud security architecture. In contrast, the Part Time Cloud Security Analyst primarily monitors and analyzes security threats across various cloud platforms. Both roles involve security certifications and work in cloud environments, but their focus areas differ—engineering versus analysis.

How does a part-time Google Cloud Security Engineer typically collaborate with full-time team members to ensure project continuity?

As a part-time Google Cloud Security Engineer, effective communication and clear documentation are essential for seamless collaboration with full-time colleagues. You will often work asynchronously, so maintaining up-to-date records of your security assessments, incident responses, and configuration changes is crucial. Regular virtual check-ins, participation in team meetings, and leveraging collaboration tools like shared project boards help align your work with ongoing initiatives. This approach ensures that security measures remain consistent and no critical updates are missed, despite the flexible schedule.

What does a Part Time Google Cloud Security Engineer do?

A Part Time Google Cloud Security Engineer is responsible for ensuring the security of cloud-based systems and data within the Google Cloud Platform (GCP) on a part-time basis. Their duties often include configuring security controls, monitoring for threats, implementing compliance requirements, and responding to incidents. They work with development and IT teams to secure cloud architectures, manage identities and access, and enforce best practices. Part-time roles may focus on specific projects or ongoing monitoring, allowing for a flexible work schedule while maintaining robust security.
What cities are hiring for Part Time Google Cloud Security Engineer jobs? Cities with the most Part Time Google Cloud Security Engineer job openings:
What are the most commonly searched types of Google Cloud Security Engineer jobs? The most popular types of Google Cloud Security Engineer jobs are:
What states have the most Part Time Google Cloud Security Engineer jobs? States with the most job openings for Part Time Google Cloud Security Engineer jobs include:
Lead Senior Database & Backend Engineer

Lead Senior Database & Backend Engineer

Huck Adventures

Broomfield, CO • On-site

Part-time

Posted 23 days ago


Job description

Company Description

Huck Adventures brings people outside to explore the world together. The outdoor app makes it easy for people to connect with one another and get the educational and safety resources they need to for great adventures. Tailored to outdoor recreation, the app includes availability and skillset matching, communication, event, education, and safety tools all in one place. Huck Adventures partners with like-minded organizations and donates 10 percent of its profits to environmental and outdoor recreation nonprofits, so everyone can enjoy the adventure and beauty of the great outdoors. Learn more at www.huckadventures.com.

  • We expect a lot. Our culture is unique and we live by our values, so it's worth learning more about Huck Culture online.

  • We are a tight and driven team with big goals, so we seek individuals who are truly passionate about their work.

  • We are a start-up aiming to be a big company and have co-founder opportunities available.

Job Description

As the Senior Database & Backend Engineer you will be responsible for building our architecture and API management platform to run our flutter app on firebase using Angoliga, cloud functions and other Google Cloud Services. You will solve business, operations and security challenges that arise in these developer ecosystems by proxying API traffic between provider and consumer. 

Huck is looking for  a lead backend engineer to architect, build, scale and deploy our API, database and ETL workflows. This position offers the rare opportunity to build out our system from the beginning. Below are some of the problems we are trying to solve:

  • Multi-attribute locality based recommendations

  • Architecting realtime and precomputed aggregate data

  • Scalable API (both performance-wise and manageability for our front end team)

Responsibilities:

  • Design Backend Architecture, API and database for the Huck App.

  • Deliver multi-cloud, loosely-coupled, distributed, and highly available platform.

  • Be the subject matter expert for the distributed data platform in a multi-cloud environment and private cloud (on-prem).

  • Be responsible for the design, deploy, and operations of the distributed data 

Qualifications
  • Experience with RDBMS and NoSQL (Firebase Firestore, Cloud Firestore, and PostgreSQL/MySQL).

  • Experience with Google Cloud functions or Firebase Cloud functions handling at least 2,000,000 users and scaling

  • Experience with application deployment

  • Experience writing in TypeScript or comparable language

  • Experience with distributed data systems.

  • Experience creating the architecture for database deployments on Cloud platforms like Google Cloud Platform (GCP).

Bonus qualification:

  • Experience in AI & Machine Learning technologies

Additional Information

All your information will be kept confidential according to EEO guidelines.