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Entry Level Cloud Engineer Jobs in Reston, VA (NOW HIRING)

CTAC

Junior DevOps Engineer

Falls Church, VA · On-site

$56.25 - $77/hr

... Entry Level Job Type Full-time Location CTAC HQ - Falls Church, VA 22042 US (Primary) Travel 0 ... Develop cloud-first applications, infrastructure as code, and tooling to improve business processes ...

Dark Wolf Solutions

Junior DevSecOps Engineer

Chantilly, VA · On-site

$100K - $120K/yr

Certifications: Entry-level or professional certifications such as CompTIA Security+, AWS Certified Cloud Practitioner / Developer, or Linux foundation credentials. Position Clearance Requirement: US ...

Dark Wolf Solutions

Junior DevSecOps Engineer

Chantilly, VA · On-site

$100K - $120K/yr

Certifications: Entry-level or professional certifications such as CompTIA Security+, AWS Certified Cloud Practitioner / Developer, or Linux foundation credentials. Position Clearance Requirement: US ...

Dark Wolf Solutions

Junior DevSecOps Engineer

Herndon, VA · On-site

$100K - $120K/yr

Certifications: Entry-level or professional certifications such as CompTIA Security+, AWS Certified Cloud Practitioner / Developer, or Linux foundation credentials. Position Clearance Requirement: US ...

Join Us At PASE!

Assistant Engineer

North Bethesda, MD · On-site

$82K - $100K/yr

Job Summary Performs entry-level tasks and progresses to moderately complex Structural Engineering ... Strong computer literacy, including Microsoft Office and cloud platforms (Sharepoint, Procore, etc.

CGI Inc.

Junior System Engineer

Fairfax, VA · On-site

Infrastructure/Cloud Main location: United States, Virginia, Fairfax Position ID:J0826-1141 ... In this entry level role you will help engineer, automate, and maintain the infrastructure and ...

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All JobsCloud Engineer JobsEntry Level Cloud Engineer JobsEntry Level Cloud Engineer Jobs in Reston, VA

Entry Level Cloud Engineer information

See Reston, VA salary details

$24

$65

$90

How much do entry level cloud engineer jobs pay per hour?

As of Sep 13, 2026, the average hourly pay for entry level cloud engineer in Reston, VA is $65.42, according to ZipRecruiter salary data. Most workers in this role earn between $55.77 and $74.52 per hour, depending on experience, location, and employer.

What is an entry level cloud engineer?

Entry Level Cloud Engineers are professionals who assist in designing, implementing, and managing cloud-based solutions for organizations. They typically work with cloud platforms like AWS, Microsoft Azure, or Google Cloud to help migrate, deploy, or maintain applications and infrastructure. These roles are suitable for individuals who are new to cloud computing and often involve tasks such as configuring virtual machines, monitoring cloud resources, and supporting senior engineers. Entry level positions usually require foundational knowledge of cloud concepts, networking, and some scripting or programming experience.

What does an entry level cloud engineer do?

As an entry-level cloud engineer, you work as a junior engineer to learn more about cloud software and storage through hands-on training. Many of these roles are unpaid or paid internships rather than part-time or full-time employment. Your duties include tasks involved with cloud computing, like designing a cloud network or managing information stored in the cloud. You handle your responsibilities under the supervision of a skilled cloud engineer who trains you on the job. You need excellent computer, programming, and development skills and a willingness to learn how to work as a cloud engineer.

What are the key skills and qualifications needed to thrive as an entry level cloud engineer, and why are they important?

To thrive as an Entry Level Cloud Engineer, you need foundational knowledge of cloud computing concepts, networking, and scripting, often supported by a degree in computer science or a related field. Familiarity with cloud platforms like AWS, Azure, or Google Cloud, as well as certifications such as AWS Certified Cloud Practitioner or Azure Fundamentals, is highly valued. Strong problem-solving abilities, eagerness to learn, and effective teamwork set standout candidates apart. These skills are vital for building, maintaining, and optimizing cloud infrastructure in dynamic, collaborative technology environments.

What are some common challenges faced by entry level cloud engineers, and how can they be addressed?

Entry level cloud engineers often encounter challenges such as navigating complex cloud environments, adapting to rapidly evolving technologies, and understanding the security best practices required for cloud infrastructure. To address these, it's important to actively seek mentorship from experienced team members, participate in ongoing training, and regularly practice with cloud platforms like AWS, Azure, or Google Cloud. Collaboration with cross-functional teams—such as developers and security specialists—also helps in gaining a broader perspective and accelerating learning.

What is the difference between Entry Level Cloud Engineer vs Cloud Support Associate?

AspectEntry Level Cloud EngineerCloud Support Associate
Required CertificationsBasic cloud certifications (e.g., AWS Certified Cloud Practitioner)Basic cloud certifications often preferred
Work EnvironmentDesigning, deploying, and managing cloud solutionsProviding technical support and troubleshooting cloud issues
Employer & Industry UsageTech companies, cloud service providers, enterprisesIT service providers, cloud vendors, support centers
Common Search & Comparison IntentUnderstanding entry-level roles in cloud computingClarifying support-focused cloud roles

The Entry Level Cloud Engineer typically focuses on designing and deploying cloud solutions, requiring foundational certifications and technical skills. In contrast, a Cloud Support Associate primarily provides technical support and troubleshooting for cloud services. Both roles are entry-level but differ in responsibilities and daily tasks, catering to different career paths within cloud computing.

Are entry level cloud engineers still in demand?

Entry level cloud engineers are in high demand due to the increasing adoption of cloud computing across industries. Skills in platforms like AWS, Azure, or Google Cloud, along with knowledge of scripting and automation, enhance job prospects in this field.
More about Entry Level Cloud Engineer jobs

What are the most commonly searched types of Cloud Engineer jobs in Reston, VA?

The most popular types of Cloud Engineer jobs in Reston, VA are:

What are popular job titles related to Entry Level Cloud Engineer jobs in Reston, VA?

For Entry Level Cloud Engineer jobs in Reston, VA, the most frequently searched job titles are:

What job categories do people searching Entry Level Cloud Engineer jobs in Reston, VA look for?

The top searched job categories for Entry Level Cloud Engineer jobs in Reston, VA are:

What cities near Reston, VA are hiring for Entry Level Cloud Engineer jobs?

Cities near Reston, VA with the most Entry Level Cloud Engineer job openings:

Entry Level Cloud Engineer jobs near you
Infographic showing various Entry Level Cloud Engineer job openings in Reston, VA as of September 2026, with employment types broken down into 1% Internship, 87% Full Time, 9% Part Time, and 3% Contract. Highlights an 85% Physical, 5% Hybrid, and 10% Remote job distribution, with an average salary of $136,081 per year, or $65.4 per hour.

AI Software Engineer - Entry-Level

Mclean, VA • On-site

Jobtailor
See more jobs at Jobtailorexternal

Other

Posted 5 days ago

Job description

  • Assist in the design, development, testing, and deployment of software applications and AI-enabled solutions.
  • Support the development of scalable backend services, APIs, and data-driven applications.
  • Collaborate with engineers and stakeholders to understand requirements and deliver technical solutions.
  • Participate in AI and machine learning solution development, integration, testing, and documentation.
  • Work with cloud platforms and modern software development tools to support application delivery.
  • Contribute to Agile development activities, including sprint planning, standups, retrospectives, and code reviews.
  • Troubleshoot, debug, and resolve software defects during development and quality assurance cycles.
  • Develop and maintain technical documentation, user guides, and engineering artifacts.
  • Learn and apply software engineering best practices, including secure coding, version control, testing, and CI/CD processes.
  • Stay current with emerging technologies, including Generative AI, machine learning, cloud computing, automation, and modern software development practices.
Requirements
  • Bachelor's degree in Computer Engineering, Computer Science, Software Engineering, Data Science, Artificial Intelligence, or a related technical field.
  • Strong programming skills in one or more languages such as Python, Java, C++, JavaScript, or TypeScript.
  • Understanding of software development fundamentals, data structures, algorithms, and object-oriented programming concepts.
  • Familiarity with software development methodologies such as Agile or Scrum.
  • Strong analytical thinking and problem-solving abilities.
  • Excellent written and verbal communication skills.
  • Demonstrated interest in artificial intelligence, software engineering, data engineering, or emerging technologies through coursework, projects, research, or personal initiatives.
  • U.S. Citizenship with the ability to obtain and maintain a Secret Security Clearance.
  • Preferred: Internship, research, co-op, hackathon, or capstone project experience related to software development, AI, machine learning, or data engineering.
  • Preferred: Exposure to cloud platforms such as AWS, Microsoft Azure, or Google Cloud Platform (GCP).
  • Preferred: Familiarity with Git and version control best practices.
  • Preferred: Knowledge of APIs, databases, data processing, or cloud-native architectures.
  • Preferred: Exposure to AI/ML concepts, Generative AI, large language models (LLMs), or data analytics.
  • Preferred: Interest in cybersecurity, DevSecOps, automation, or data engineering.
  • Preferred: Experience with Python-based development or AI/ML libraries through academic projects.
  • Preferred: Active Security Clearance.
Core Competencies

Demonstrates strong programming skills in Python, Java, C++, JavaScript, or TypeScript, with a solid understanding of software development fundamentals and methodologies such as Agile. Capable of developing AI-enabled solutions and scalable backend services while maintaining technical documentation and collaborating effectively with stakeholders.

Highest-signal resume keywords
  • Programming Skills in Python, Java, C++, JavaScript, or TypeScript
  • AI and Machine Learning Solution Development
  • Cloud Platforms (AWS, Microsoft Azure, Google Cloud Platform)
  • Agile Development Methodologies
  • Technical Documentation Development
Hard Skills
  • Software Development Fundamentals
  • Data Structures
  • Algorithms
  • Object-Oriented Programming
  • APIs
  • Databases
  • Data Processing
  • CI/CD Processes
  • Secure Coding
  • Version Control
Soft Skills
  • Analytical Thinking
  • Problem-Solving
  • Written Communication
  • Verbal Communication
Certifications & Qualifications
  • Secret Security Clearance
Industry Keywords
  • Artificial Intelligence
  • Machine Learning
  • Data Engineering
  • Emerging Technologies
  • Cybersecurity
Tools & Technologies
  • Git
  • Cloud Platforms
  • AI/ML Libraries
  • Automation Tools
  • DevSecOps Tools
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