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Remote Cloud Support Jobs (NOW HIRING)

AWS Cloud Engineer

$57 - $76.25/hr

Central NJ (Princeton, Lawrenceville, New Brunswick) & Remote Cloud Infrastructure Engineer will be ... Support self-service tooling to support R&ED Researchers and Departments * Ensure adherence to the ...

Cloud Data Engineer

$61.50 - $79.75/hr

Cloud Data Engineer Apex Systems has an opening for a 100% remote cloud data engineer with an enterprise retail client. This resource will join a team supporting the back-end engineering of several ...

Cloud Automation Engineer

$57 - $76.25/hr

Remote Cloud Automation Engineer Orchestrate seamless migration from on-premises data centers to ... automation to support build and testing. Strong expertise in Kubernetes, AWS EKS, and CI/CD ...

AWS Cloud Services Engineer

$57 - $76.25/hr

AWS Cloud Services Engineer Location :1305 E Walnut St Des Moines, IA 50319 (Remote) Duration: 12 ... support and technical governance, expertise related to cloud architectures, deployment, and ...

... Cloud. * Empowering Customer Success: Be a trusted advocate for our customers by offering effective, empathetic, and fast solutions via phone, email, and remote support sessions. Your knowledge will ...

Cloud Software Developer

Suitland, MD · On-site +1

$60.50 - $83/hr

We support some of the nation's most critical and demanding projects including satellite operations ... About the Cloud Software Developer position We are looking for a talented Cloud Software Developer ...

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Remote Cloud Support information

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How much do remote cloud support jobs pay per hour?

As of Jun 28, 2026, the average hourly pay for remote cloud support 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 by Remote Cloud Support professionals, and how can they be managed?

Remote Cloud Support professionals often encounter challenges such as troubleshooting complex cloud infrastructure issues without direct, on-site access and collaborating across time zones with global teams. To manage these, strong communication skills and proficiency with remote diagnostic tools are essential. Staying updated with evolving cloud technologies and practicing proactive problem-solving can also help in addressing technical issues efficiently. Building good relationships with both clients and internal teams ensures smoother collaboration and more effective support.

What are the key skills and qualifications needed to thrive as a Remote Cloud Support specialist, and why are they important?

To thrive as a Remote Cloud Support specialist, you need a solid understanding of cloud computing platforms (such as AWS, Azure, or Google Cloud), networking, troubleshooting, and often a degree in computer science or a related field. Familiarity with cloud management tools, ticketing systems, and relevant certifications like AWS Certified Solutions Architect or CompTIA Cloud+ is typically required. Excellent problem-solving, communication, and customer service skills help you address client issues efficiently and maintain strong relationships. These skills ensure effective resolution of technical challenges, high customer satisfaction, and reliable cloud service delivery in a remote work environment.

What is a Remote Cloud Support job?

A Remote Cloud Support job involves assisting customers or clients with issues related to cloud-based services and infrastructure, all while working from a remote location. Professionals in this role troubleshoot technical problems, provide guidance on cloud tools, and help manage cloud resources such as servers, storage, and applications. They often interact with customers via email, chat, or phone, and may also work with various cloud platforms like AWS, Azure, or Google Cloud. Strong communication and problem-solving skills are essential, along with a solid understanding of cloud technologies.

What is the difference between Remote Cloud Support vs Remote Cloud Engineer?

AspectRemote Cloud SupportRemote Cloud Engineer
CertificationsCloud certifications (e.g., AWS, Azure) often preferredSimilar certifications, with additional focus on architecture and development
Work EnvironmentCustomer support, troubleshooting, and issue resolutionDesigning, deploying, and maintaining cloud infrastructure
Employer & Industry UsageIT service providers, cloud service companiesTech companies, cloud service providers, enterprise IT teams
Search & Comparison IntentUnderstanding support roles in cloud servicesExploring cloud infrastructure development and deployment

Remote Cloud Support focuses on assisting clients with troubleshooting and resolving cloud-related issues, often in a customer support capacity. Remote Cloud Engineers design, implement, and maintain cloud infrastructure, requiring more technical expertise. While both roles involve cloud platforms and certifications, their core responsibilities and work environments differ significantly.

More about Remote Cloud Support jobs
What cities are hiring for Remote Cloud Support jobs? Cities with the most Remote Cloud Support job openings:
What are the most commonly searched types of Cloud Support jobs? The most popular types of Cloud Support jobs are:
What states have the most Remote Cloud Support jobs? States with the most job openings for Remote Cloud Support jobs include:
Infographic showing various Remote Cloud Support job openings in the United States as of June 2026, with employment types broken down into 42% Full Time, and 58% Contract. Highlights an 37% Physical, 3% Hybrid, and 60% Remote job distribution, with an average salary of $130,802 per year, or $62.9 per hour.
AWS Cloud Engineer

$57 - $76.25/hr

Other

Posted 5 days ago


Job description

IT For R&ED Data Management & Platforms

Role: Cloud Infrastructure Engineer

Location: Central NJ (Princeton, Lawrenceville, New Brunswick) & Remote

Cloud Infrastructure Engineer will be responsible for project deliverables related to strategic initiatives within R&ED Therapeutic Research Centers, Linux/Windows engineering and cloud support. The successful candidate will be responsible for delivering solutions as part of larger projects, working in a highly matrixed environment. As part of the Data Management & Platforms team, they will serve as technical specialist for cloud resources used for scientific R&ED. Additionally, they will help guide the team towards the optimal cloud resource usage and cost savings. The role responsibilities require high level of digital innovation, and demand passion, speed, accountability and creative problem solving. The successful candidate will actively work towards solving business needs identified in the scope below, and will be a contributing resource in the development and maintenance of cloud capabilities for R&ED. They will collaborate and work closely with other functional teams in IT, business stakeholders and digital innovation teams to ensure the optimal portfolio of applications exists to support the business.

Key Responsibilities

  • On-going production operations cloud & on-prem hosted infrastructure and applications
  • Support self-service tooling to support R&ED Researchers and Departments
  • Ensure adherence to the BMS best practices including (but not limited to) resiliency, availability, security, governance and cloud cost optimization
  • Reduce and resolve production incidents by identifying preventive controls and driving proactive efforts
  • Monitor cloud resource cost and usage metrics to optimize cloud spend
  • Track system uptime and availability

Key Skills

  • Hands-on experience with - Linux, Windows, Server Infrastructure, Cloud, Storage
  • Hands-on experience with Public Cloud - AWS, Azure, GCP
  • Hands-on expertise in troubleshooting cloud environments - finding and fixing critical production issues
  • Practical experience with development languages – Python and/or Go
  • Fluent with one or more Infrastructure as Code Platforms - Terraform, CloudFormation, Ansible, and/or Chef
  • Practical knowledge of cloud shared responsibility model and security best practices.
  • Strong knowledge of cloud infrastructure and services including:
    • EC2/RDS
    • Storage (S3, EFS, FSx, EBS, Storage Gateway)
    • IAM: Roles, Control Policies, Organizational Units, etc.