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Remote Junior Cloud Computing Jobs (NOW HIRING)

Akamai

Account Manager II, Cloud

Cambridge, MA · On-site +1

Account Manager II, CloudUnited States (Remote) Would you enjoy working with leading digital brands to lead the evolution of the Cloud Computing market? Be Part of Something Revolutionary! Join our ...

ASCENDING

Staff Site Reliability Engineer

Fairfax, VA · Remote

$58.25 - $77.50/hr

Citizenship / No clearance needed / 100% remote within the US / EST Time Zone Staff Site ... cloud computing. * Mentor and provide technical guidance to junior team members, fostering a ...

Lexical Intelligence LLC

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

The Cloud Engineer I will have a firm understanding of cloud computing platforms, CI/CD pipelines ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

TekSynap

Cloud Architect

$66.50 - $84.75/hr

Act as the Subject Matter Expert (SME) in executing and overseeing cloud computing strategies ... Remote * Noise level: Medium * Work schedule: Schedule is day shift Monday - Friday. May be ...

The Pennsylvania State University

$201K/yr

Approval of remote and hybrid work is not guaranteed regardless of work location.For additional ... You will work within classified research and development and cloud computing (HPC) environments to ...

AbbVie

Cloud Security Engineer (Remote)

North Chicago, IL · On-site +1

$53.50 - $71.75/hr

... on cloud computing technology. The Cloud Security Engineer will collaborate with security ... architects and cloud engineers to design, execute, and govern a comprehensive cloud environment.

Henpen Corporation

TS/SCI/Sr Software Developer

Tucson, AZ · On-site +1

$51.50 - $68/hr

... cloud computing platforms like Amazon Web Services (AWS) Knowledge of Javascript and web ... Experience providing technical leadership and guidance to junior team member and mentoring other ...

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How much do remote junior cloud computing jobs pay per year?

As of Jun 7, 2026, the average yearly pay for remote junior cloud computing in the United States is $71,799.00, according to ZipRecruiter salary data. Most workers in this role earn between $48,500.00 and $80,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by remote junior cloud computing professionals, and how can they be addressed?

Remote junior cloud computing professionals often encounter challenges such as navigating complex cloud environments, keeping up with rapidly evolving technologies, and communicating effectively with distributed teams. To address these, it's helpful to proactively seek mentorship from experienced colleagues, participate in regular team meetings, and utilize collaborative tools to stay connected. Additionally, committing to continuous learning through online courses and certifications can help bridge knowledge gaps and build confidence in tackling new technical tasks.

What is the difference between Remote Junior Cloud Computing vs Remote Cloud Support Technician?

AspectRemote Junior Cloud ComputingRemote Cloud Support Technician
Required CredentialsBasic cloud certifications (e.g., AWS Cloud Practitioner, Microsoft Azure Fundamentals)Certifications like CompTIA Cloud+, vendor-specific support certifications
Work EnvironmentCloud platforms, virtual environments, collaboration toolsCustomer support portals, remote troubleshooting tools
Employer & Industry UsageCloud service providers, tech companies, startupsIT support firms, cloud service providers, enterprise IT departments
Common Search & Comparison IntentEntry-level cloud roles, cloud computing basicsTechnical support, troubleshooting cloud issues

Remote Junior Cloud Computing roles focus on foundational cloud skills, deployment, and basic management, often requiring cloud certifications. Remote Cloud Support Technicians primarily handle troubleshooting and customer support for cloud services, emphasizing support tools and technical problem-solving. Both roles are essential in cloud environments but differ in responsibilities and skill emphasis.

What is a Remote Junior Cloud Computing position?

A Remote Junior Cloud Computing position is an entry-level job focused on supporting cloud-based systems and services, typically for organizations using platforms like AWS, Azure, or Google Cloud. Employees in this role work from home or another remote location, assisting with tasks such as deploying applications, managing cloud resources, and troubleshooting issues. Junior-level roles are designed for individuals who are new to cloud computing and may involve training, mentorship, and working under the guidance of more experienced cloud engineers. These positions are ideal for candidates with a basic understanding of cloud concepts and a desire to gain practical experience in the field.

What are the key skills and qualifications needed to thrive as a Remote Junior Cloud Computing professional, and why are they important?

To thrive as a Remote Junior Cloud Computing professional, you typically need foundational knowledge in cloud platforms (like AWS, Azure, or Google Cloud), basic programming skills, and a relevant degree or certification such as AWS Certified Cloud Practitioner. Familiarity with cloud management consoles, version control systems (like Git), and basic automation tools is expected. Strong problem-solving, communication, and self-motivation skills help individuals excel in remote and collaborative environments. These competencies are crucial for effectively supporting cloud infrastructure, troubleshooting issues, and contributing to team projects from a remote setting.
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Remote Junior Cloud Computing jobs near you
Infographic showing various Remote Junior Cloud Computing job openings in the United States as of May 2026, with employment types broken down into 84% Full Time, 8% Part Time, and 8% Contract. Highlights an 100% Remote job distribution, with an average salary of $71,799 per year, or $34.5 per hour.
Software Engineer - AI Platforms & Edge Computing

Software Engineer - AI Platforms & Edge Computing

MatrixSpace

Burlington, MA • Remote

$125K - $160K/yr

Full-time

Posted yesterday

Job description

At MatrixSpace, we are building technology that bridges the physical and digital worlds — combining embedded systems, radar sensing, cloud computing, and AI to unlock powerful real-world intelligence.

We’re looking for a software engineer to help build and scale our edge and cloud platform for AI-powered applications. In this role, you’ll work on backend services, distributed systems, and infrastructure that enable real-time data processing and intelligent decision-making at the edge.

You’ll collaborate closely with experienced engineers across platform, AI, and embedded systems, contributing to the design and implementation of scalable systems while growing your skills in edge computing and modern cloud infrastructure.

This is not a fully remote role -- you will be required to be onsite at least a few days per week!

Key Responsibilities:
  • Design and implement platform software supporting AI workloads, edge inference, and distributed data pipelines across hybrid environments.
  • Contribute to the architecture, design, and deployment of scalable systems in both cloud-based and on-premises runtime environments.
  • Develop and maintain high-performance components in C/C++, Go, and Python, optimized for edge and real-time environments.
  • Build and manage API-based middleware that connects AI models, data services, and frontend interfaces.
  • Implement service-oriented architectures (SOA) and Software-as-a-Service (SaaS) frameworks to support modular, extensible system design.
  • Leverage Infrastructure-as-Code (IaC) for automated provisioning, deployment, and configuration management.
  • Employ containerization (Docker) and orchestration (Kubernetes) for edge-to-cloud deployments and lifecycle management.
  • Integrate networking protocols (TCP/IP, HTTPS) for secure, high-throughput edge-cloud communication.
  • Use CMake and BASH scripting for build automation, testing, and deployment pipelines.
  • Collaborate using Git-based configuration management systems in a modern CI/CD environment.
  • Work closely with data scientists and AI engineers to embed ML models into production-grade edge systems.
  • Optimize performance, reliability, and scalability across resource-constrained and distributed computing environments.
Required Skills and Experience:

Candidates must be legally authorized to work in the United States without employer sponsorship and may be required to obtain and maintain a U.S. government security clearance in the future.

  • 2-4 years of software engineering experience in embedded, cloud, or distributed systems.
  • Proficiency and recent experience coding in C/C++ required.
  • Strong knowledge of edge computing, AI platform development, or real-time data systems.
  • Experience building backend systems or APIs
  • Familiarity with cloud platforms (AWS, GCP, or Azure)
  • Understanding of basic distributed systems concepts (e.g., scalability, latency, reliability)
  • Ability to collaborate effectively and learn quickly in a fast-paced environment
Preferred Qualifications
  • Experience with Go, and/or Python a plus.
  • Experience with containers or Kubernetes
  • Exposure to infrastructure-as-code or CI/CD pipelines
  • Interest in AI/ML systems or model deployment
  • Exposure to edge computing or real-time systems
Why Join Us
  • Join a team that thrives on innovation and collaboration.
  • Work on cutting-edge technology bridging embedded systems, cloud computing, and AI applications
  • Collaborate with world-class engineers solving complex distributed systems challenges
  • High ownership, fast iteration, and opportunities to lead architecture and innovation initiatives
  • Competitive compensation, equity options, and a culture that values innovation and technical excellence.

Compensation range: $125,000 - $160,000. Actual position within the range will be determined based on experience level of the candidate.