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Cloud Engineer Intern Remote Jobs (NOW HIRING)

Accelerant

Cloud Engineer

$57 - $76.25/hr

Location Remote (U.S.) Level Senior Individual Contributor Cloud Platforms Azure • AWS Reports To VP, Technology Services Industry InsurTech / Financial Services preferred Key Responsibilities ...

Business Centric Technology

Cloud Engineer

Dallas, TX · Remote

$120K/yr

Our client is building the future of its cloud infrastructure and seeking a Sr. Cloud Engineer to ... WHAT'S IN IT FOR YOU: * Enjoy the flexibility of a remote work model (Texas-based preferred ...

Changeis

Senior Cloud Engineer

$57 - $76.25/hr

Senior Cloud Engineer Remote Changeis, Inc. is seeking a Senior Cloud Engineer to support enterprise IT shared services operations within a cabinet-level federal agency environment . This role ...

ACI Infotech

Azure Cloud Engineer

$50/hr

Fully Remote Position As an Azure Cloud Engineer, you will have a solid understanding of Microsoft Azure technologies with thorough experience in working on enterprise infrastructure architecture ...

ManTech International

Cloud Engineer - VMWare

$117K - $195K/yr

This is a remote position . Be a part of an agile team to provide the U.S Army Corps of Engineers ... Managing VMware Cloud Foundation, Private Cloud to Public Cloud migration, and hybrid cloud ...

Lexical Intelligence LLC

NLM Cloud Engineer I

Bethesda, MD · Remote

$59.50 - $79.50/hr

The Cloud Engineer I will have experience in cloud infrastructure administration, DevOps ... Knowledge of FedRAMP requirements and secure remote access administration * Prior experience ...

Atlas Technica

Cloud Engineer

$57 - $76.25/hr

Cloud Engineer Reports to: Professional Service Manager Department: Professional Services Location ... United States - Remote About Atlas Technica Atlas Technica's mission is to shoulder IT management, ...

Merci Technologies - Talent

AWS Cloud Engineer

Atlanta, GA · Remote

$53.50 - $71.75/hr

Remote About the Role: Merci Technologies is seeking an AWS Cloud Engineer to design, build, and maintain scalable cloud infrastructure for an enterprise client. In this role you will work across ...

New

FrontStream Holdings LLC

Cloud Engineer

Claymont, DE · Remote

$54.50 - $72.75/hr

The Role FrontStream is a rapidly growing, all-remote software company that specializes in helping ... Cloud Engineer to be a part of building this amazing company. This position is a key role in ...

Futran Tech Solutions Pvt. Ltd.

Sr GCP Cloud Engineer

$57 - $76.25/hr

Remote Exp Level : 8-10 years Primary Skills : Terraform, Kafka , Kubernetes, IAC, Certification :Google Cloud Professional Cloud Engineer Certified Nice To Have Skills : Azure, Multi cloud, CI/CD ...

Lexical Intelligence LLC

NLM Cloud Engineer III

Bethesda, MD · Remote

$59.50 - $79.50/hr

Cloud Engineer III Lexical Intelligence provides software and services related to processing large ... Deliver day-to-day cloud operations support, including secure remote access, administration of ...

UMB Financial

Cloud Engineer

Kansas City, MO · On-site +1

$130K - $140K/yr

As a Cloud Engineer , you will be heavily participating in defining the organization's cloud ... This role is hybrid (Mon through Thu on-site / Fri remote) at the UMB Technology & Operations ...

campus4tech

GCP Cloud Engineer

$57 - $76.25/hr

GCP Cloud Engineer Engagement Length: 6-8 weeks (with possible extension or full time conversion) Work Type: 100% Remote Role Type: Individual Contributor / Execution-Focused Tech Stack: Google Cloud ...

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How much do cloud engineer intern remote jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for cloud engineer intern remote in the United States is $25.42, according to ZipRecruiter salary data. Most workers in this role earn between $20.67 and $28.85 per hour, depending on experience, location, and employer.

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

AspectCloud Engineer Intern RemoteCloud Support Engineer Intern
Required CredentialsBasic cloud certifications (e.g., AWS, Azure), relevant courseworkSimilar certifications, focus on troubleshooting skills
Work EnvironmentRemote, collaborative cloud projectsRemote, customer support scenarios
Industry UsageCloud service providers, tech companiesIT service providers, cloud vendors

Both roles involve cloud technology fundamentals and remote work. Cloud Engineer Intern Remote focuses on designing and implementing cloud solutions, while Cloud Support Engineer Intern emphasizes troubleshooting and supporting cloud services. The roles often overlap in certifications and work environment but differ in daily responsibilities.

What does a Cloud Engineer Intern do in a remote role?

A Cloud Engineer Intern working remotely assists with tasks related to designing, deploying, and maintaining cloud-based systems and applications. They typically support senior engineers by helping with infrastructure automation, cloud service configuration, monitoring, troubleshooting, and documentation. Interns may work with platforms like AWS, Azure, or Google Cloud, and gain experience using tools like Terraform, Docker, or Kubernetes. This remote role requires strong communication skills, self-motivation, and the ability to collaborate effectively using digital tools.

What are some common challenges faced by Cloud Engineer Interns working remotely, and how can they overcome them?

Remote Cloud Engineer Interns often encounter challenges such as effective communication with team members across different time zones, gaining access to necessary cloud resources, and staying updated on ongoing projects. To overcome these, interns should proactively schedule regular check-ins with mentors, utilize collaboration tools like Slack or Microsoft Teams, and document their progress thoroughly. Engaging in online training modules and seeking feedback frequently can also help interns stay connected and accelerate their learning in a remote environment.

What are the key skills and qualifications needed to thrive as a Cloud Engineer Intern in a remote setting, and why are they important?

To thrive as a Cloud Engineer Intern Remote, you need a foundational understanding of cloud computing concepts, programming/scripting skills (such as Python or Bash), and relevant coursework or certifications in platforms like AWS, Azure, or Google Cloud. Familiarity with version control systems (like Git), basic networking, and hands-on experience with cloud management consoles or CLI tools are typically expected. Strong problem-solving abilities, effective communication, and self-motivation are important soft skills, especially for remote collaboration. These skills ensure you can contribute to cloud projects, adapt to technical challenges, and work efficiently with distributed teams.
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Cloud Engineer Intern Remote jobs near you
Infographic showing various Cloud Engineer Intern Remote job openings in the United States as of July 2026, with employment types broken down into 50% Full Time, 25% Part Time, and 25% Contract. Highlights an 100% Remote job distribution, with an average salary of $52,867 per year, or $25.4 per hour.
Cloud Engineer

Cloud Engineer

Accelerant

Remote

$57 - $76.25/hr

Full-time

Posted 18 days ago

Job description

About Accelerant
Accelerant is a data-driven risk exchange connecting underwriters of specialty insurance risk with risk capital providers. Accelerant was founded in 2018 by a group of longtime insurance industry executives and technology experts who shared a vision of rebuilding the way risk is exchanged - so that it works better, for everyone. The Accelerant risk exchange does business across more than 20 different countries and 250 specialty products, and we are proud that our insurers have been awarded an AM Best A- (Excellent) rating. For more information, please visit www.accelerant.ai.
Senior Cloud Engineer
Technology Services • Remote • Individual Contributor
Role Overview
We are seeking an experienced Senior Cloud Engineer to join our Technology Services team. This role is at the heart of designing, implementing, and managing secure, scalable, and highly resilient cloud infrastructure across Azure and AWS. You will define technology direction, lead large and complex projects end-to-end, and collaborate with development teams, architects, and business stakeholders to deliver cloud solutions that power a broad range of technology initiatives - including AI-driven platforms, containerized applications, and enterprise data workloads.
Experience in the Insurance or Financial Services industry is a plus, but strong technical depth and a continuous improvement mindset are what matter most.
Location
Remote (U.S.)
Level
Senior Individual Contributor
Cloud Platforms
Azure • AWS
Reports To
VP, Technology Services
Industry
InsurTech / Financial Services preferred
Key Responsibilities
Cloud Infrastructure & Architecture
  • Design, implement, and manage secure, scalable, and highly resilient cloud infrastructure across Azure and AWS.
  • Define technology direction for cloud solutions and drive end-to-end implementation across teams.
  • Collaborate with development teams, cloud architects, and product teams to architect solutions for complex, enterprise-scale projects.
  • Configure and administer virtual networks, VMs, and web application hosting environments.
  • Develop and maintain infrastructure-as-code (IaC) using Terraform to enforce consistency and repeatability across cloud environments.

Project Leadership & Cross-Team Execution
  • Lead large, complex technology projects spanning diverse technologies and multiple cross-functional teams.
  • Define project schedules, milestones, and priorities based on high-level business objectives; manage execution with minimal supervision.
  • Serve as a results-driven technical lead who can independently drive initiatives from concept through delivery.
  • Communicate project status, risks, and decisions clearly to stakeholders at all levels.

Containers & Microservices Architecture
  • Design, implement, and operate container-based infrastructure and managed Kubernetes environments across Azure and AWS (AKS, EKS), including cluster lifecycle management, scaling, and capacity planning.
  • Architect and support microservices solutions leveraging Docker and Kubernetes, applying best practices for service decomposition, inter-service communication, and API gateway integration.
  • Design and manage container registries and image pipelines across platforms (Azure Container Registry, Amazon ECR) including vulnerability scanning, image versioning, and promotion workflows.
  • Implement and manage serverless container services (Azure Container Apps, AWS Fargate, AWS Lambda container images) for event-driven and workload-appropriate deployment patterns.
  • Define and enforce container security standards including network policies, pod security, secrets management (Azure Key Vault, AWS Secrets Manager), and runtime protection.
  • Integrate container workloads with cloud-native networking, load balancing, and ingress services across both platforms (Azure Application Gateway, AWS ALB/NLB).
  • Support CI/CD pipeline integration for containerized application builds, testing, and automated deployment to non-production and production environments.
  • Establish and maintain observability practices for containerized workloads including logging, metrics, and distributed tracing across Azure Monitor, AWS CloudWatch, and third-party tooling.

AI Platform Engineering
  • Bring multi-year, hands-on AI engineering experience to the design, build, and ongoing operation of enterprise-grade AI solutions and platforms.
  • Deep working knowledge of AI technologies and platforms including Claude (Anthropic) and ChatGPT (OpenAI), including API integration, prompt engineering, and enterprise deployment patterns.
  • Design and support infrastructure for AI-powered applications built with modern development tools such as Claude Code, Replit, and Vercel.
  • Support AI and data platform workloads across Azure (Databricks, Data Factory, Azure OpenAI) and AWS (SageMaker, Bedrock) environments.
  • Contribute to the architecture and operational management of enterprise AI platforms, ensuring performance, availability, and security.

Security & Compliance
  • Create and maintain cloud security strategies, policies, procedures, and supporting documentation.
  • Develop and maintain infrastructure architecture, audit, and InfoSec documentation in line with regulatory and business requirements.
  • Ensure compliance with standard business practices, industry best practices, and applicable regulatory frameworks (particularly relevant in Insurance/FinServ contexts).
  • Implement and enforce security controls across cloud environments including identity, networking, and data protection layers.

Operations & Operational Excellence
  • Define and document operational processes around cloud monitoring, alerting, and infrastructure management.
  • Provide technical support and issue resolution for cloud-hosted environments.
  • Lead root cause analysis (RCA) for critical outages and incidents; engineer and implement permanent solutions.
  • Maintain accurate and auditable records of incident resolutions, configuration changes, and operational decisions to support compliance and knowledge continuity.
  • Drive a culture of continuous improvement through proactive monitoring, automation, and operational refinement.
  • Provide technical guidance and mentorship to less experienced team members.

Qualifications
Education
  • Bachelor's degree in Information Technology, Computer Science, Software Engineering, or equivalent combination of education and experience.

Required Experience
  • 10+ years of overall IT experience, with 5+ years as a cloud or infrastructure engineer in production environments.
  • Proven hands-on experience designing, implementing, and supporting cloud solutions in Azure and AWS; GCP experience a plus.
  • Demonstrated ability to lead large, complex technology projects across diverse technologies and cross-functional teams with minimal supervision.
  • Deep expertise with core cloud services across Azure and AWS: compute, networking, storage, identity/IAM, security, managed Kubernetes (AKS/EKS), and data platform services.
  • Strong background in Linux and Windows system administration.
  • Deep experience with networking and security concepts in large-scale, production cloud environments including VNets, VPCs, NSGs, firewalls, private endpoints, and zero-trust access patterns.
  • Hands-on experience with containerization and microservices: Docker, Kubernetes, and managed Kubernetes services (AKS and/or EKS) in production environments.
  • Terraform expertise is required - candidates must demonstrate hands-on experience authoring, managing, and scaling IaC in production multi-cloud environments.
  • Multi-year hands-on AI experience, including deep understanding of AI platforms such as Claude (Anthropic) and ChatGPT (OpenAI), and practical experience building and supporting AI-powered applications.
  • Experience building and supporting applications developed using AI-assisted development platforms such as Claude Code, Replit, Vercel, or similar rapid-development tooling.
  • Strong operational experience defining and documenting processes for cloud monitoring, alerting, and infrastructure management.
  • Experience developing infrastructure architecture documentation and InfoSec/audit deliverables.
  • Demonstrated ability to work effectively within large, cross-functional teams with strong communication skills.

Preferred Skills & Technologies
  • Cloud certifications: Azure (AZ-104, AZ-204, AZ-303, AZ-400) and/or AWS (Solutions Architect, DevOps Engineer, or equivalent) preferred, not required.
  • Supplemental IaC tooling: familiarity with cloud-native tools such as Azure Bicep, AWS CloudFormation, or AWS CDK is a plus.
  • CI/CD tooling: Azure DevOps, GitHub Actions, AWS CodePipeline, or similar.
  • Relational and NoSQL databases: MS SQL Server, Cosmos DB, PostgreSQL.
  • Observability and monitoring platforms: Datadog experience strongly preferred, including infrastructure monitoring, APM, log management, and alerting across multi-cloud environments.
  • Background in the Insurance or Financial Services industry.

Core Competencies
• Technical Excellence
• AI Platform Fluency
• Project Leadership & Self-Direction
• Continuous Improvement Mindset
• Cross-Functional Collaboration
• Security-First Thinking
• Root Cause Problem Solving
• Clear Written & Verbal Communication

Apply