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Part Time Genesys Cloud Engineer Jobs (NOW HIRING)

Shield AI

Staff Cloud Engineer (R5801)

San Mateo, CA

$150K - $280K/yr

Cloud Engineering builds and operates the infrastructure and environments that support Shield AI ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Shield AI

Staff Cloud Engineer (R5801)

San Diego, CA

$150K - $280K/yr

Cloud Engineering builds and operates the infrastructure and environments that support Shield AI ... Military fellows and part-time employees are not eligible for benefits. Please speak to your talent ...

Booz Allen Hamilton Inc.

Cloud Engineer

Chantilly, VA · On-site

$69K - $158K/yr

Cloud Engineer The Opportunity: Manages, administers, supports and enhances cloud environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer, Mid

Arlington, VA · On-site +1

$69K - $158K/yr

Share Cloud Engineer, Mid The Opportunity: Manages, administers, supports and enhances cloud ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Booz Allen Hamilton, Inc.

Cloud Engineer, Senior

Mclean, VA · On-site +1

$99K - $225K/yr

Share Cloud Engineer, Senior The Opportunity: Manages, administers, supports and enhances cloud ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

CACI

Cloud DevSecOps Engineer

Hanover, MD · On-site

$55.50 - $74.25/hr

Cloud DevSecOps Engineer Job Category ... Engineering Time Type: Part time Minimum Clearance Required to Start: TS/SCI with Polygraph ...

CACI

Senior Cloud DevSecOps Engineer

Hanover, MD · On-site

$55.50 - $74.25/hr

Senior Cloud DevSecOps Engineer Job Category ... Engineering Time Type: Part time Minimum Clearance Required to Start: TS/SCI with Polygraph ...

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Part Time Genesys Cloud Engineer information

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How much do part time genesys cloud engineer jobs pay per hour?

As of Sep 8, 2026, the average hourly pay for part time genesys cloud engineer in the United States is $62.89, according to ZipRecruiter salary data. Most workers in this role earn between $53.61 and $71.63 per hour, depending on experience, location, and employer.

What does a part time Genesys Cloud Engineer do?

A Part Time Genesys Cloud Engineer is responsible for designing, implementing, and maintaining Genesys Cloud solutions on a flexible or reduced-hour schedule. They help organizations optimize their customer experience platforms by configuring contact center features, integrating systems, and troubleshooting issues. Working part-time, they may focus on specific projects, provide ongoing support, or assist with upgrades and customizations. Their expertise ensures that the Genesys Cloud environment is reliable, efficient, and meets business needs.

What are the key skills and qualifications needed to thrive as a part time Genesys Cloud Engineer, and why are they important?

To thrive as a Part Time Genesys Cloud Engineer, you need expertise in cloud-based contact center solutions, especially Genesys Cloud, along with a background in IT or computer science. Familiarity with tools such as Genesys Cloud CX, API integrations, and certifications like Genesys Cloud Certified Professional are typical requirements. Strong problem-solving skills, effective communication, and adaptability are valuable soft skills for supporting clients and collaborating with teams. These competencies ensure reliable deployment, efficient troubleshooting, and high-quality customer experience in dynamic cloud environments.

What are some common challenges faced by part time Genesys Cloud Engineers and how can they be addressed?

Part-time Genesys Cloud Engineers often face challenges such as staying updated with frequent platform updates, managing time efficiently across projects, and ensuring seamless communication with full-time team members. To address these, it's important to set regular check-ins with the team, utilize detailed documentation, and actively participate in training sessions or webinars. Leveraging collaboration tools and maintaining clear communication helps ensure alignment on project goals and system changes, making it easier for part-time engineers to contribute effectively.

What is the difference between Part Time Genesys Cloud Engineer vs Part Time Contact Center Support Specialist?

AspectPart Time Genesys Cloud EngineerPart Time Contact Center Support Specialist
Required CredentialsGenesys Cloud certifications, technical skills in cloud platformsCustomer service certifications, communication skills
Work EnvironmentTechnical, IT-focused, remote or on-siteCustomer support, call centers, remote or on-site
Industry UsageIT, telecommunications, cloud servicesCustomer service, call centers, tech support

The Part Time Genesys Cloud Engineer focuses on implementing and maintaining Genesys cloud solutions, requiring technical certifications and IT skills. In contrast, the Part Time Contact Center Support Specialist primarily handles customer inquiries and support, emphasizing communication skills. Both roles may be remote and are common in customer service and tech industries, but they differ in technical complexity and responsibilities.

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Part Time Genesys Cloud Engineer jobs near you
Infographic showing various Part Time Genesys Cloud Engineer job openings in the United States as of August 2026, with employment types broken down into 93% Full Time, 3% Part Time, and 4% Contract. Highlights an 86% Physical, 5% Hybrid, and 9% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

Staff Cloud Engineer (R5801)

Shield AI

San Mateo, CA

$150K - $280K/yr

Full-time, Part-time

Posted 4 days ago

Job description

Shield AI is a venture-backed defense-tech company with the mission of protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies. With offices and facilities across the U.S., Europe, the Middle East, and Asia-Pacific, Shield AI’s technology actively supports operations worldwide. For more information, visit www.shield.ai. Follow Shield AI on LinkedIn, X, Instagram, and YouTube. 

Job Description:
Cloud Engineering builds and operates the infrastructure and environments that support Shield AI’s software products and platforms. 

As a Staff Cloud Engineer, you will design, build, and operate the cloud infrastructure and environments used to develop, test, integrate, and host Shield AI’s software products and platforms. You will work across AWS infrastructure, shared development environments, and supporting platform services to improve how these systems are provisioned, operated, and maintained. 

This is a hands-on engineering role focused on infrastructure automation, reliability, and operational stability. You will troubleshoot problems across infrastructure and services, improve existing systems, and work with engineering teams to build infrastructure that meets their development and integration needs. 
What You'll Do
  • Design, build, and operate AWS infrastructure and shared development and integration environments  
  • Build and maintain infrastructure using Terraform and other infrastructure-as-code tools  
  • Automate environment provisioning, configuration, lifecycle management, and other recurring infrastructure tasks  
  • Build and operate infrastructure supporting containerized applications and workloads  
  • Establish and improve observability across cloud infrastructure and supporting services  
  • Diagnose and resolve infrastructure and environment issues across products and platform services. 
  • Improve the reliability and consistency of shared environments and platform services. 
  • Partner with Cybersecurity, Infosec, and Enterprise Ops to implement infrastructure and access controls that meet security and compliance requirements  
  • Monitor resource utilization and identify opportunities to improve infrastructure cost and capacity  
Required Qualifications
  • Experience supporting shared cloud infrastructure across multiple products or engineering teams 
  • Experience with Kubernetes or other container orchestration platforms  
  • Experience with infrastructure as code tooling 
  • Experience designing automated or ephemeral environment lifecycle management  
  • Experience operating infrastructure in regulated or compliance-driven environments  
  • Experience implementing cloud IAM, access controls, and infrastructure security requirements  
  • Experience with AWS cost management, capacity planning, or resource optimization
San Diego, CA range: $150,000 - $230,000
San Mateo, CA range: $180,000 - $280,000
#LI-DM2
#LD

Full-time regular employee offer package:
Pay within range listed + Bonus + Benefits + Equity
 
Temporary employee offer package:
Pay within range listed above + temporary benefits package (applicable after 60 days of employment)
 
Salary compensation is influenced by a wide array of factors including but not limited to skill set, level of experience, licenses and certifications, and specific work location. All offers are contingent on a cleared background and possible reference check. Military fellows and part-time employees are not eligible for benefits. Please speak to your talent acquisition representative for more information.
 
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Shield AI is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, marital status, disability, gender identity or Veteran status. If you have a disability or special need that requires accommodation, please let us know. 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.