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Remote Cloud Engineer Jobs in Madison, AL (NOW HIRING)

3-GIS

Support Specialist II

Huntsville, AL · On-site +1

Identify, document, and escalate issues to team leads or engineering as appropriate. * Track and ... Self-directed and effective in a remote or hybrid work environment. * Strong critical thinking and ...

Deloitte

Epic Denials Management Operator

Huntsville, AL · Remote

$17.75 - $23.75/hr

... cloud infrastructure. These solutions are powered by engineering for business advantage ... This is a primarily remote role supporting enterprise Epic support, with minimal travel and ...

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Remote Cloud Engineer information

See Madison, AL salary details

$21

$56

$78

How much do remote cloud engineer jobs pay per hour?

As of Sep 3, 2026, the average hourly pay for remote cloud engineer in Madison, AL is $56.34, according to ZipRecruiter salary data. Most workers in this role earn between $48.03 and $64.18 per hour, depending on experience, location, and employer.

What is a remote cloud engineer?

A Remote Cloud Engineer is an IT professional who designs, implements, and manages cloud-based infrastructure and services for organizations, all while working remotely. Their responsibilities often include configuring cloud environments, ensuring security and compliance, automating deployments, and troubleshooting technical issues. Remote Cloud Engineers work with platforms like AWS, Azure, or Google Cloud, and collaborate with teams using virtual communication tools. This role allows professionals to contribute to cloud projects without needing to be physically present at the company's office, making it ideal for those seeking flexible work arrangements.

What does a remote cloud engineer do?

As a remote cloud engineer, you work from home to design and develop software that runs in the cloud and maintain cloud systems and hardware. If you specialize in software development, then you typically write and test software. If your focus is on infrastructure, then your duties revolve around designing and deploying hardware and storage systems, implementing backup procedures, and ensuring the security of computer resources. In an information management role, your responsibilities include managing high-volume data migrations or supporting clients by architecting solutions for complex business needs.

What are the key skills and qualifications needed to thrive as a remote cloud engineer, and why are they important?

To thrive as a Remote Cloud Engineer, you need a strong background in computer science, cloud architecture, and experience with platforms like AWS, Azure, or Google Cloud, often supported by relevant degrees or certifications. Familiarity with Infrastructure as Code (IaC) tools such as Terraform, CI/CD pipelines, and cloud security best practices is typically required. Strong problem-solving abilities, effective communication, and self-motivation are crucial soft skills for remote collaboration and troubleshooting. These skills ensure secure, scalable cloud solutions and seamless teamwork, even when working remotely.

How do remote cloud engineers typically collaborate with team members across different time zones?

Remote Cloud Engineers often work with globally distributed teams, which means effective communication and coordination are essential. Collaboration is usually managed through tools like Slack, Microsoft Teams, or Jira, while regular video meetings help keep everyone aligned. Engineers need to be proactive in documenting their work and updates to ensure transparency and continuity, especially when team members may not be online simultaneously. Flexibility with schedules and strong written communication skills are key to overcoming time zone challenges and maintaining team productivity.

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

AspectRemote Cloud EngineerCloud Developer
Required CredentialsCloud certifications (AWS, Azure, GCP), Linux, networkingProgramming skills, cloud platform knowledge, certifications optional
Work EnvironmentCloud infrastructure, deployment, troubleshootingApplication development, coding, software design
Employer & Industry UsageIT companies, cloud service providers, tech firmsSoftware companies, startups, SaaS providers
Common Search & Comparison IntentUnderstanding roles, skills, job requirementsDevelopment focus, coding responsibilities

Remote Cloud Engineers focus on managing and maintaining cloud infrastructure, while Cloud Developers primarily develop applications on cloud platforms. Both roles often require cloud certifications and work in tech-driven environments, but their core responsibilities differ—one handles infrastructure, the other software development.

Is remote cloud engineering still in demand?

Remote cloud engineering remains in high demand due to the ongoing growth of cloud services and digital transformation across industries. Professionals with skills in cloud platforms like AWS, Azure, or Google Cloud, along with certifications and experience in automation and security, are particularly sought after. The role often requires strong problem-solving skills and the ability to work independently in a remote environment.
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Remote Cloud Engineer jobs near you
Infographic showing various Remote Cloud Engineer job openings in Madison, AL as of August 2026, with employment types broken down into 89% Full Time, 7% Part Time, and 4% Contract. Highlights an 85% Physical, 6% Hybrid, and 9% Remote job distribution, with an average salary of $117,195 per year, or $56.3 per hour.

Summer 2027 Intern - Machine Learning Engineering

Workiva

Huntsville, AL • On-site, Remote

$40/hr

Full-time

Retirement

Posted 4 days ago

Workiva rating

9.9

Company rating: 9.9 out of 10

Based on 7 frontline employees who took The Breakroom Quiz

1st of 247 rated software companies

Job description

As a Machine Learning Engineering Intern, you will be part of a collaborative team supporting the development, deployment, and monitoring of machine learning models. Your primary role is to contribute to Workiva's data scientists' efforts within the Data Management and Analytics organization. This is an excellent opportunity to gain hands-on experience in the machine learning lifecycle.

What You'll Do

  • Participate in discovery, requirements gathering, and prototyping of new tools and libraries
  • Implement tooling and features to support machine learning model development and deployment under the direction of a full-time Machine Learning Engineer
  • Help integrate tools such as LlamaIndex and LlamaParse into existing workflows
  • Assist in building and deploying AI Agents to automate data processing and analysis tasks
  • Participate in code reviews
  • Implement and update tests (unit, integration)
  • Track tasks and complete status updates using internal tools
  • Work in an Agile development methodology alongside your teammates

What You'll Need

Minimum Qualifications

  • Currently pursuing a bachelor’s degree or higher in Statistics, Mathematics, Computer Science, Physics, Electrical Engineering, or related field of study
  • Possess solid programming skills
  • Basic experience with source control systems such as Git

Preferred Qualifications

  • Work effectively within a geographically distributed team
  • Demonstrate strong communication and organizational skills
  • Familiarity with the data science lifecycle and basic machine learning concepts
  • Experience with containerization tools such as Docker and Kubernetes
  • Knowledge of cloud platforms such as AWS
  • Proficiency with Python and/or Go
  • Familiarity with REST APIs

Travel Requirements & Working Conditions

  • Minimal travel
  • Reliable internet access for any period of time working remotely, not in a Workiva office

Location: This internship is primarily a remote opportunity. However, if you are located near one of our office hubs, you are welcome to work in a hybrid capacity and utilize our office spaces. Check out our article on Workplace Flexibility to learn more.

When can you expect to hear back?

We are committed to attending all career fairs and recruitment events before closing our positions. That means, this position might be open without updates for a few weeks to give us time to connect with all potential candidates before wrapping up the recruitment season. Check out our tentative timeline below to see when you can expect to hear from us!

Postings close: September 27, 2026

Engineering postings close: October 2, 2026

Interviews: Early to mid October

Offers: Late October

2027 Start Dates:

This position has opportunities to start in the Spring or Summer. Please see our start dates below and let us know your availability in your application.

  • Spring 2027 Internships: Monday, January 4, 2027 (15-20 hours per week max)
  • Summer 2027 Internships: Monday, May 17, 2027 (40/hours per week max)

How You’ll Be Rewarded

Salary range in the US: $40.00 - $40.00 401(k) participation and match

Paid sick leave

A unique opportunity to further your learning experience through additional internship seasons

Why Join Workiva

Workiva is the platform designed to bring confidence, control, and a competitive edge to the world’s most complex organizations. Our AI-powered platform unifies finance, risk, and sustainability on a single, secure foundation-ensuring data is trusted, traceable, and ready to act on. With an unbroken path from source to output, leaders gain confidence in their numbers, visibility into current and emerging risks, and the ability to move with speed and precision in a constantly changing world.

At Workiva, you’ll bring technology to market that executives, boards, and regulators depend on. The work you do here helps organizations navigate uncertainty, maintain trust, and make decisions that stand up to scrutiny. If you’re energized by meaningful challenges, inspired by collaborative teams, and motivated to help organizations turn uncertainty into advantage, we’d love to meet you.

Employment decisions are made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other protected characteristic.

Workiva is committed to working with and providing reasonable accommodations to applicants with disabilities. To request assistance with the application process, please email earlycareer@workiva.com .

Workiva employees are required to undergo comprehensive security and privacy training tailored to their roles, ensuring adherence to company policies and regulatory standards.

Workiva supports employees in working where they work best - either from an office or remotely from any location within their country of employment.

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