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Entry Level Aws Cyber Security Jobs (NOW HIRING)

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... AWS/Azure/GCP), application development, cybersecurity, data/AI, IT operations, or DevSecOps ... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... AWS/Azure/GCP), application development, cybersecurity, data/AI, IT operations, or DevSecOps ... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ...

Peraton

Junior Solutions Architect

Reston, VA · On-site +1

$86K - $138K/yr

... AWS/Azure/GCP), application development, cybersecurity, data/AI, IT operations, or DevSecOps ... T environments. * Entry-level professional certifications: AWS Cloud Practitioner, Azure ...

New

Dark Trace

Cyber Infrastructure Engineer

Chicago, IL · On-site

$70K - $85K/yr

... and WAN, cyber security principles, and the OSI reference model, * Entry level understanding of ... Foundational level knowledge and/or certifications with industry-standard vendors such as AWS ...

New

LufCo

IT Operations Manager

Aberdeen, MD · On-site

$75K - $120K/yr

... across cybersecurity, next-generation sensing, and DevSecOps. By owning the full engineering ... Oversee multi-site system architectures, cloud platforms (AWS/Azure), and enterprise applications ...

LufCo

IT Operations Manager

Aberdeen, MD

$75K - $120K/yr

... across cybersecurity, next-generation sensing, and DevSecOps. By owning the full engineering ... Oversee multi-site system architectures, cloud platforms (AWS/Azure), and enterprise applications ...

LufCo

IT Operations Manager

Aberdeen, MD · On-site

$75K - $120K/yr

... across cybersecurity, next-generation sensing, and DevSecOps. By owning the full engineering ... Oversee multi-site system architectures, cloud platforms (AWS/Azure), and enterprise applications ...

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Entry Level Aws Cyber Security information

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$40.5K

$122.9K

$180K

How much do entry level aws cyber security jobs pay per year?

As of Jul 14, 2026, the average yearly pay for entry level aws cyber security in the United States is $122,890.00, according to ZipRecruiter salary data. Most workers in this role earn between $102,000.00 and $142,000.00 per year, depending on experience, location, and employer.

What are some common challenges faced by entry-level AWS Cyber Security professionals in their first year?

Entry-level AWS Cyber Security professionals often encounter challenges such as keeping pace with rapidly evolving cloud security threats and mastering the extensive AWS security tools and services. Adapting to the shared responsibility model and understanding how security responsibilities are divided between AWS and the customer can also be complex at first. Collaborating with cross-functional teams—including developers, operations, and compliance—requires strong communication skills to ensure security best practices are implemented throughout the organization. Continuous learning and hands-on experience are key to building confidence and proficiency in the role.

What are the key skills and qualifications needed to thrive as an Entry Level AWS Cyber Security professional, and why are they important?

To thrive as an Entry Level AWS Cyber Security professional, you need a foundational understanding of cybersecurity principles, cloud computing concepts, and familiarity with AWS services, often supported by a degree in computer science or a related field. Knowledge of security tools such as AWS Identity and Access Management (IAM), AWS Security Hub, and certifications like AWS Certified Cloud Practitioner or AWS Certified Security – Specialty are typically expected. Strong analytical thinking, attention to detail, and effective communication skills help you proactively identify threats and collaborate with technical teams. These skills and qualities are essential for securing cloud environments, ensuring compliance, and mitigating cyber risks in increasingly cloud-dependent organizations.

What are entry level AWS cyber security jobs?

Entry level AWS cyber security jobs are positions designed for individuals who are beginning their career in cloud security on the Amazon Web Services (AWS) platform. These roles typically involve monitoring cloud environments, managing access controls, identifying vulnerabilities, and assisting with the implementation of AWS security best practices. Responsibilities may include working with security tools, responding to incidents, and helping to ensure compliance with industry standards. Candidates often have basic knowledge of cloud computing, cybersecurity principles, and may hold certifications such as AWS Certified Cloud Practitioner or AWS Certified Security – Specialty. These positions provide a foundation for a career in cloud security by offering hands-on experience and exposure to AWS security services.

What is the difference between Entry Level Aws Cyber Security vs Entry Level Cloud Security Analyst?

AspectEntry Level Aws Cyber SecurityEntry Level Cloud Security Analyst
CertificationsAWS Certified Security - Specialty, CompTIA Security+CompTIA Security+, AWS Cloud certifications
Work EnvironmentPrimarily AWS cloud environments, security monitoring, and incident responseCloud platforms including AWS, focusing on security analysis and risk assessment
Employer & Industry UsageTech companies, cloud service providers, enterprises using AWSOrganizations adopting cloud solutions, especially AWS-based infrastructure

Both roles focus on cloud security with an emphasis on AWS, requiring similar certifications and working in cloud environments. The main difference lies in job titles' emphasis: 'Cyber Security' roles often include broader security responsibilities, while 'Cloud Security Analyst' may focus more on analyzing and assessing cloud security risks.

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Entry Level Aws Cyber Security jobs near you
Federal AI Solutions Engineer (Entry Level)

Federal AI Solutions Engineer (Entry Level)

A-TEK Inc.

Mclean, VA

$85K - $105K/yr

Other

Medical, Dental, Vision, Retirement, PTO

Re-posted 4 days ago

Job description

A-TEK is seeking an early-career Federal AI Solutions Engineer to support the design, development, and deployment of mission-focused AI and cloud solutions across AWS and Azure environments. This role is ideal for recent graduates with a strong academic foundation in Artificial Intelligence, Machine Learning, software engineering, and cloud technologies who are eager to apply their skills to real-world federal mission challenges.

The engineer will work alongside senior architects and engineers to develop AI-enabled applications, cloud-native solutions, automation workflows, and rapid prototypes that support A-TEK's DigitalShift innovation initiatives.

This is a hybrid role based in McLean, VA. No visa sponsorship is available for this role. This role requires the ability to obtain and retain a public trust level security clearance.

Key Responsibilities

AI Solution Development

  • Assist in the design, development, and deployment of AI-powered applications and prototypes using:
    • AWS Bedrock
    • Azure OpenAI
    • LangChain, LlamaIndex, Semantic Kernel, CrewAI, or similar frameworks
  • Develop and test prompt engineering strategies, retrieval-augmented generation (RAG) workflows, and AI agent capabilities.
  • Support integration of AI solutions with APIs, enterprise systems, and cloud services.

Cloud Engineering

  • Build and maintain cloud-based environments in AWS and Azure.
  • Assist with infrastructure deployment using Infrastructure-as-Code tools such as Terraform, AWS CDK, or Bicep.
  • Support containerized deployments using ECS, EKS, or AKS.
  • Participate in CI/CD implementation and cloud automation efforts.

Technical Support & Innovation

  • Support senior engineers in troubleshooting cloud, AI, and data integration challenges.
  • Assist in developing reusable templates, accelerators, and reference architectures.
  • Participate in rapid prototyping efforts that demonstrate mission value for federal customers.

Collaboration & Knowledge Sharing

  • Collaborate with Cloud, Cybersecurity, Data Intelligence, and Agile Engineering teams.
  • Contribute to technical documentation, architecture diagrams, and knowledge-sharing initiatives.
  • Stay current with emerging AI, machine learning, and cloud technologies.

Security & Compliance

  • Support implementation of solutions that align with:
    • NIST AI Risk Management Framework (AI RMF)
    • FedRAMP requirements
    • Zero Trust principles
    • Secure coding and responsible AI practices

Required Qualifications

Education (Required)

Bachelor's degree in Computer Science with a concentration, specialization, minor, or significant coursework in Artificial Intelligence, Machine Learning, Data Science, or a closely related field.

Experience

  • 0-2 years of professional software engineering, AI/ML, or cloud development experience.
  • Relevant internships, research projects, capstone projects, graduate assistantships, or co-op experience may be substituted for professional experience.
  • Demonstrated programming experience in Python through coursework, projects, internships, or employment.

Technical Skills

  • Foundational understanding of machine learning, generative AI, and large language models.
  • Experience using cloud platforms (AWS or Azure) through coursework, internships, certifications, or projects.
  • Familiarity with:
    • REST APIs
    • Git version control
    • Containerization concepts
    • Data pipelines and databases
  • Understanding of prompt engineering, RAG concepts, or AI agents through academic or personal projects.
  • Strong analytical and problem-solving skills.

Certifications

One of the following is preferred within the first year of employment:

  • AWS Certified Cloud Practitioner or AWS Solutions Architect Associate
  • Microsoft Azure Fundamentals (AZ-900) or Azure AI Fundamentals (AI-900)

Preferred Qualifications

  • Academic or project experience with:
    • LangChain
    • LlamaIndex
    • Semantic Kernel
    • CrewAI
  • Exposure to vector databases such as Pinecone, Weaviate, FAISS, or Milvus.
  • Experience building AI, machine learning, or cloud-based capstone projects.
  • Familiarity with DevOps, MLOps, or CI/CD concepts.
  • Interest in federal government missions and emerging AI technologies.

Compensation

Salary Range

$85,000 - $105,000 annually

Salary will be determined based on education, certifications, internship experience, technical proficiency, and security clearance eligibility.

Benefits

  • Medical, Dental, and Vision Insurance
  • 401(k) with Employer Match
  • Paid Time Off and Federal Holidays
  • Professional Development and Certification Reimbursement
  • Career Growth and Mentorship Opportunities

Apply