1

Easiest Computer Science Jobs in Virginia (NOW HIRING)

... the easiest way for our development teams. Solve High-Stakes Engineering Challenges: Tackle the ... degree in computer science or related field Secunetics is committed to creating a diverse ...

... easiest way for our development teams. * Solve High-Stakes Engineering Challenges: Tackle the ... An undergraduate or graduate degree in computer science or related field Secunetics is committed to ...

... easiest way for our development teams. * Solve High-Stakes Engineering Challenges: Tackle the ... An undergraduate or graduate degree in computer science or related field Secunetics is committed to ...

Easiest Computer Science information

See Virginia salary details

$5

$9

$9

How much do easiest computer science jobs pay per hour?

As of Aug 7, 2026, the average hourly pay for easiest computer science in Virginia is $9.36, according to ZipRecruiter salary data. Most workers in this role earn between $9.38 and $9.38 per hour, depending on experience, location, and employer.

What is the difference between Easiest Computer Science vs Software Developer?

AspectEasiest Computer ScienceSoftware Developer
Required CredentialsTypically a bachelor's degree in computer science or related fieldUsually a bachelor's degree in computer science, software engineering, or related field
Work EnvironmentAcademic settings, entry-level roles, or internshipsCorporate, startup, or freelance projects
Industry UsageEducational institutions, tech companies, governmentTech companies, software firms, app development
Search & Comparison IntentUnderstanding entry-level or beginner roles in CSComparing roles for career development in software development

Overall, Easiest Computer Science typically refers to entry-level or foundational roles requiring basic CS knowledge, while Software Developer involves designing, coding, and maintaining software applications, often requiring more practical experience and technical skills.

What are the key skills and qualifications needed to thrive as a computer science professional, and why are they important?

To thrive as a Computer Science professional, you need a solid understanding of programming languages, algorithms, and data structures, typically supported by a degree in computer science or a related field. Familiarity with technical tools such as integrated development environments (IDEs), version control systems like Git, and knowledge of software development methodologies is important. Problem-solving, analytical thinking, and effective communication are essential soft skills that help in collaborating with teams and addressing complex technical challenges. These skills are crucial for delivering efficient, reliable solutions and succeeding in a constantly evolving technological landscape.

What types of entry-level roles are available for candidates seeking the easiest transition into a computer science career?

For those new to the field, many companies offer entry-level positions such as IT support specialist, junior QA tester, or help desk technician, which require a foundational understanding of computer science concepts but often provide on-the-job training and mentorship. These roles typically involve troubleshooting, basic programming, or software testing, allowing you to build technical skills in a structured environment. Working in these positions can provide exposure to a range of technologies and prepare you for more complex computer science roles as you gain experience. Collaboration with IT teams and end users is common, fostering communication and problem-solving abilities essential for career growth.

What are the easiest computer science jobs?

The easiest computer science jobs are typically entry-level positions that require basic programming knowledge and problem-solving skills. Examples include technical support specialist, junior web developer, quality assurance tester, or IT help desk technician. These roles often focus on routine tasks, troubleshooting, or simple coding assignments and may require less advanced computer science concepts. However, 'easiest' is subjective and can vary based on your background and interests.
What are the most commonly searched types of Easiest Computer Science jobs in Virginia? The most popular types of Easiest Computer Science jobs in Virginia are:
What are popular job titles related to Easiest Computer Science jobs in Virginia? For Easiest Computer Science jobs in Virginia, the most frequently searched job titles are:
Infographic showing various Easiest Computer Science job openings in Virginia as of August 2026, with employment types broken down into 92% Full Time, and 8% Part Time. Highlights an 85% In-person, and 15% Remote job distribution, with an average salary of $19,466 per year, or $9.4 per hour.

DevSecOps Engineer

Secunetics

Reston, VA • On-site

Other

Posted 21 days ago


Job description

DevSecOps Engineer - Position DescriptionAbout Us:

At Secunetics, we make IT safer. As the innovators behind Gobo Framework—a FedRAMP-authorized SaaS platform—we deliver automated, AI-powered solutions that manage network performance and streamline mission-critical workflows for federal agencies. Beyond our technology, we are a platform for our people, defined by a culture of courage, ownership, and an unrelenting drive to solve the most complex infrastructure challenges.

What You Will Do:

      Architect and Scale Gobo Framework: Take charge of the evolution of our proprietary, FedRAMP-authorized SaaS platform, moving beyond standard maintenance to high-level platform engineering.

      Implement Security-as-Code: Shift security left by integrating Policy-as-Code and supply chain security (SBOM) directly into our pipelines.

      Drive Operational Excellence: Manage complex hybrid cloud environments by implementing advanced observability and Zero Trust Architecture principles.

      Build the "Secure Path": You won''t just secure infrastructure; you will build automated pipelines that make the secure way the easiest way for our development teams.

      Solve High-Stakes Engineering Challenges: Tackle the unique friction of Top Secret/FedRAMP environments, ensuring high availability and performance without sacrificing compliance.

Who You Are:

      You are a willing and able to be cleared to the Top Secret level.

      You are the engineer who identifies manual, error-prone bottlenecks and insists on automating them.

      You thrive at the intersection of strict security compliance (e.g., FedRAMP) and rapid development velocity.

      You are not just a user of tools, but a builder who understands the trade-offs in cloud architecture.

      You possess deep expertise in Linux, Kubernetes, and IaC (Terraform), and you view security as code.

      You are a collaborative problem-solver who enjoys direct interaction with clients to solve complex infrastructure challenges.

 

Required Technical Expertise:

      Linux

      Google Cloud Platform (Google Cloud Platform)

      Python

      Terraform

      Docker

      Kubernetes

      GitLab CI/CD or GitHub Actions

Additional preference is given for the following:

      Python development experience beyond scripting

      Experience developing applications for cloud-based platforms, such as Google Cloud Platform (Google Cloud Platform), Amazon Web Services (AWS), or Microsoft Azure

      Experience with security compliance programs such as FedRAMP, PCI, or HIPAA

      Knowledge of networking and security concepts and technologies

      Familiarity with enterprise management and performance engineering concepts

      An undergraduate or graduate degree in computer science or related field

Secunetics is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, national origin, religion, creed, physical or mental disability, marital status, sexual orientation, veteran status, age, gender identity, or any other applicable basis that is protected by foreign, federal, state or local law, ordinance or regulation.