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Remote Amazon Security Clearance Jobs in Georgia

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Remote Amazon Security Clearance information

What is the difference between Remote Amazon Security Clearance vs Remote Amazon Network Security Specialist?

AspectRemote Amazon Security ClearanceRemote Amazon Network Security Specialist
Required CredentialsSecurity clearance, certifications like CISSP or Security+Network security certifications, CISSP, Security+
Work EnvironmentGovernment or contractor settings, security protocolsCorporate IT teams, network infrastructure environments
Employer & Industry UsageAmazon government projects, defense contractorsAmazon's IT and cybersecurity departments
Common Search & ComparisonFocuses on security clearance requirementsFocuses on network security skills and roles

The main difference is that Remote Amazon Security Clearance roles require security clearance and are often linked to government or defense projects, while Remote Amazon Network Security Specialist positions focus on network security skills within Amazon's corporate environment. Both roles involve cybersecurity but differ in credentials, work setting, and industry focus.

Can you work remotely with a remote amazon security clearance?

A remote Amazon security clearance typically allows employees to work from home or other remote locations, provided they have the necessary secure environment and access to required systems. However, some roles may still require on-site presence for certain tasks or periodic security checks. It is important to follow company policies and security protocols to maintain clearance eligibility while working remotely.

Does Remote Amazon Security Clearance allow fully remote work?

Remote Amazon Security Clearance roles typically allow for fully remote work, depending on the specific position and team requirements. Candidates usually need to meet security clearance standards and may require occasional on-site visits or in-person meetings, but many positions are designed to be performed remotely with appropriate security measures. It is important to review the job description for specific remote work policies and clearance requirements.

What are popular job titles related to Remote Amazon Security Clearance jobs in Georgia?

For Remote Amazon Security Clearance jobs in Georgia, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Security Clearance jobs in Georgia look for?

The top searched job categories for Remote Amazon Security Clearance jobs in Georgia are:

What cities in Georgia are hiring for Remote Amazon Security Clearance jobs?

Cities in Georgia with the most Remote Amazon Security Clearance job openings:

Remote Amazon Security Clearance jobs near you

Software Product Engineer (Remote Opportunity)

VetsEZ

Atlanta, GA • On-site, Remote

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 12 days ago

Job description

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms. The ideal candidate would be a highly experienced engineer with deep expertise in designing scalable cloud-based architectures and building production-grade AI applied solutions. This role will collaborate closely with engineering teams, product stakeholders, and technical leadership to translate complex concepts into secure, reliable, and scalable solutions.

The candidate must reside within the continental US.

Responsibilities
  • Design and build event-driven, data-intensive backend services in Node.js / TypeScript, using cloud native solutions such Amazon Aurora (PostgreSQL), ECS and SQS to support AI workloads at scale.
  • Decompose complex healthcare and AI workflows into a microservices architecture - defining clear service boundaries and data ownership, designing inter-service communication across synchronous REST and asynchronous messaging (SQS/event-driven) patterns, and delivering independently deployable, loosely coupled services that scale and fail independently.
  • Drive a test-driven development (TDD) practice across the team - writing tests before implementation, maintaining strong coverage across unit, integration, and contract tests, and using the test suite to guide design, prevent regressions, and ensure the reliability of AI-enabled services in a regulated environment.
  • Develop AI pipelines that process structured and unstructured data to support intelligent decision systems.
  • Design and implement scalable AI-enabled systems and services that support mission-critical healthcare platforms.
  • Design cloud-native architectures and distributed systems that support AI-driven applications.
  • Collaborate with cross-functional teams to translate product requirements and research concepts into deployable solutions.
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project.
Requirements
  • Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical discipline.
  • 5+ years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production environments.
  • Strong hands-on engineering experience with React and Node.js /TypeScript, building production-grade services, REST APIs, and integrations.
  • Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code, with a proven ability to leverage these tools to accelerate development, improve productivity, and enhance code quality.
  • Hands-on experience with AWS data and messaging services, to build event-driven, data-intensive services that support AI workloads.
    Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads.
  • Demonstrated practice of test-driven development (TDD) and automated testing (unit, integration, and contract tests) to ensure reliability and maintainability of production services.
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems.
  • Strong problem-solving abilities and experience troubleshooting complex distributed systems.
  • Strong communication and collaboration skills with the ability to guide technical discussions and influence engineering decisions.
Additional Qualifications
  • Experience building AI solutions within regulated environments such as healthcare or federal government systems.
  • Familiarity with FHIR, HL7, or healthcare interoperability standards.
  • Experience with AI orchestration frameworks, agent-based architecture, or intelligent automation systems.
  • Experience with relational data modeling and performance tuning on PostgreSQL / Amazon Aurora.
  • Experience building asynchronous, message-driven workflows using Amazon SQS and object storage with Amazon S3.
  • Experience with container technologies such as Docker or Kubernetes.
Benefits Security Clearance Requirements
  • U.S. Citizenship is required.
  • All selected candidates must successfully complete background check.
  • Ability to obtain and maintain a government/ public Trust clearance, including required fingerprinting, when required for the position.
Benefits
  • Medical, Dental, and Vision Insurance.
  • 401(k) with Employer Match.
  • Paid Time Off (PTO) plus Federal Holidays.
  • Corporate Laptop.
  • Training and Professional Development Opportunities.
  • 100% Remote Opportunity.

Note: Selected candidates will be required to complete fingerprinting at a government facility and undergo a background check as part of the hiring process.

VetsEZ is an equal opportunity employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or protected veteran status.

Sorry, we are unable to offer sponsorship at this time.

Employment Type: FULL_TIME

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