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Part Time Cloud Monitoring Jobs (NOW HIRING)

Cloud Engineer

Chantilly, VA · On-site

$62K - $141K/yr

... testing, monitoring, and pushing releases across environments * 3+ years of experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Engineer

Arlington, VA · On-site

$99K - $225K/yr

... testing, monitoring, and pushing releases across environments * 5+ years of experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Engineer

IL · On-site +1

$99K - $225K/yr

Experience supporting systems requiring formal accreditation and continuous monitoring of DoD ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Engineer

IL · On-site +1

$99K - $225K/yr

Experience supporting systems requiring formal accreditation and continuous monitoring of DoD ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Engineer, Senior

Mclean, VA · On-site +1

$99K - $225K/yr

Experience in cloud operations, including monitoring, patching, troubleshooting, and performance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...

Cloud Hospital. Other duties include answering phones, assisting patients with Holter monitor ... Schedule * Part-time | 24hours every two weeks | St. Cloud Hospital * Rotating 9-hr shifts Monday ...

Cloud Hospital. Other duties include answering phones, assisting patients with Holter monitor ... Schedule * Part-time | 40 hours every two weeks | St. Cloud Hospital * Rotating 9-hr shifts Monday ...

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Part Time Cloud Monitoring information

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How much do part time cloud monitoring jobs pay per hour?

As of Aug 4, 2026, the average hourly pay for part time cloud monitoring 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 are some common challenges faced in a part-time cloud monitoring role, and how can they be managed effectively?

Part-time cloud monitoring professionals often juggle unique challenges, such as staying updated on system status with limited hours and ensuring prompt responses to incidents. Effective communication with full-time team members is essential to maintain awareness of ongoing issues and recent changes. Utilizing automated alerts and detailed shift handover notes can help bridge the gap between shifts. Adopting strong organizational habits and leveraging available monitoring tools ensures you can quickly identify and address potential problems during your working hours.

What is a part time cloud monitoring job?

Part time cloud monitoring jobs involve overseeing and managing cloud-based systems and services on a part-time basis. These roles typically include monitoring system performance, identifying potential issues or security threats, responding to alerts, and ensuring optimal uptime. Part time positions allow individuals to work flexible hours while still supporting the reliability and security of cloud infrastructure. Common employers include IT service providers, cloud hosting companies, and organizations that rely on cloud-based solutions.

What are the key skills and qualifications needed to thrive as a part time cloud monitoring specialist, and why are they important?

To thrive as a Part Time Cloud Monitoring specialist, you need a strong understanding of cloud platforms (such as AWS, Azure, or Google Cloud), network monitoring, and incident response, often supported by relevant certifications or coursework. Familiarity with monitoring tools like Amazon CloudWatch, Datadog, or Splunk is typically required to efficiently track system performance and security. Attention to detail, problem-solving abilities, and effective communication help you respond quickly to issues and collaborate with technical teams. These skills ensure that cloud environments remain secure, reliable, and available, which is crucial for maintaining business continuity.
What are the most commonly searched types of Cloud Monitoring jobs? The most popular types of Cloud Monitoring jobs are:
Infographic showing various Part Time Cloud Monitoring job openings in the United States as of July 2026, with employment types broken down into 92% Full Time, 3% Part Time, and 5% Contract. Highlights an 79% Physical, 6% Hybrid, and 15% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.

AI Cloud Operations Technologist

Booz Allen Hamilton, Inc.

Mclean, VA • On-site, Remote

$62K/yr

Full-time, Part-time

Medical, Life, Retirement, PTO

Re-posted 4 hours ago


Booz Allen Hamilton rating

8.8

Company rating: 8.8 out of 10

Based on 48 frontline employees who took The Breakroom Quiz

13th of 72 rated business consultants


Job description


Remote Work:
Hybrid
Job Number:
R0243802
Location:
McLean,VA,US
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AI Cloud Operations Technologist
The Opportunity:
As an AI Cloud Operations Technologist, you will support the build, implementation, and sustainment of AI-enabled workflows that improve enterprise cloud operations. This role is ideal for a hands-on technologist with experience supporting cloud operations, automation, service management workflows, and AI-enabled enterprise solutions. You will work closely with lead technologists, cloud engineers, operations teams, product stakeholders, and service delivery teams to turn operational needs into practical AI-enabled solutions. This role requires strong problem-solving skills, attention to detail, technical curiosity, and the ability to apply prior experience in complex enterprise environments.
What You'll Do:
  • Support the build, configuration, testing, and deployment of AI-enabled workflows for enterprise cloud operations
  • Help implement automation that improves monitoring, service request handling, configuration management, and operational support
  • Support use of cloud service provider native AI capabilities to streamline and secure cloud operations
  • Assist with MCP-enabled integrations that allow models and AI-enabled workflows to interact with enterprise services under appropriate governance
  • Respond to service management requests with accuracy, professionalism, and timely follow-through
  • Document recurring issues, solution steps, workflow patterns, KB articles, and internal user guidance
  • Analyze service tickets, usage metrics, and user feedback to identify process improvement opportunities
  • Support workflow optimization across cloud operations, service management, and enterprise delivery teams
  • Participate in solution testing, validation, troubleshooting, and refinement
  • Help prepare enablement materials, training resources, and best-practice guidance for users and support teams
  • Collaborate with senior team members to ensure solutions are secure, usable, supportable, and aligned with enterprise standards
  • Communicate status, risks, issues, and recommendations clearly to stakeholders
  • Continue building technical depth in cloud operations, automation, AI-enabled workflows, and enterprise service delivery

Join us. The world can't wait.
You Have:
  • Experience supporting cloud operations, automation, service management workflows, or enterprise technology delivery
  • Experience working with a major cloud service provider environment
  • Experience supporting AI-enabled tools, automation platforms, workflow solutions, or enterprise service delivery capabilities
  • Ability to troubleshoot technical issues and support operational workflows in a structured environment
  • Ability to collaborate with technical and non-technical stakeholders
  • Ability to follow operational, security, and change management processes and pay strict attention to detail
  • Ability to learn new tools quickly and apply technical knowledge to real operational needs
  • Bachelor's degree

Nice If You Have:
  • Experience with cloud monitoring, incident response, configuration management, or operational automation
  • Experience using cloud-native AI, automation, monitoring, or security capabilities
  • Experience with APIs, integrations, MCP, or enterprise workflow automation
  • Experience supporting change management, governance, approval workflows, or audit-ready operational processes
  • Experience creating training materials, job aids, process documentation, or internal support resources
  • Experience working in consulting, technical support, customer success, cloud operations, or enterprise service delivery environments
  • Possession of strong analytical skills
  • Possession of strong written and verbal communication skills

Compensation
At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.
Salary at Booz Allen is determined by various factors, including but not limited to location, the individual's particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability and organizational requirements. The projected compensation range for this position is $62,000.00 to $141,000.00 (annualized USD). The estimate displayed represents the typical salary range for this position and is just one component of Booz Allen's total compensation package for employees. This posting will close within 90 days from the Posting Date.
Identity Statement
As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.
Candidate AI Usage Policy
AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.
Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.
  • Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.
  • Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.
  • Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination
All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.
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About Booz Allen Hamilton

Sourced by ZipRecruiter

Booz Allen Hamilton is a leading provider of management and technology consulting services to the US government in defense, intelligence, and civil markets. Headquartered in McLean, Virginia, the firm also serves major corporations, institutions, and not-for-profit organizations. Founded in 1914 by Edwin G. Booz, the company has a long-standing tradition of helping clients achieve success by delivering a wide range of consulting services that include strategic planning, human capital and learning, communication, systems development, and others. The company's mission is to empower people to change the world, and it has a reputation for maintaining the highest standards of integrity and-excellence.

Industry

It services

Company size

10,000+ Employees

Headquarters location

McLean, VA, US

Year founded

1914