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Remote Amazon Computer Science Jobs in South Carolina

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Remote Amazon Computer Science information

What is a remote Amazon computer science job?

Remote Amazon computer science jobs are roles at Amazon that allow professionals to work from locations outside of Amazon offices, focusing on computer science domains such as software development, data engineering, machine learning, and cloud computing. These positions typically require strong technical skills in programming, algorithms, and systems design, and they often support Amazon’s various products and services from a virtual setting. Remote roles offer flexibility while still enabling collaboration with global teams and contributing to large-scale projects. Candidates usually need a degree in computer science or a related field and relevant work experience.

How do remote Amazon computer science professionals typically collaborate with their teams across different time zones?

Remote Amazon Computer Science professionals often work with colleagues spread across various regions, which requires strong communication and time management skills. Teams commonly use tools like Amazon Chime, Slack, and project management platforms to coordinate meetings, share updates, and track progress asynchronously. Flexibility in scheduling and clear documentation are crucial to ensure everyone stays informed and aligned, and regular virtual stand-ups or check-ins help maintain team cohesion. Despite the remote setting, Amazon fosters a collaborative environment where engineers support each other's growth and problem-solving.

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

To thrive as a Remote Amazon Computer Science professional, you typically need a strong background in computer science fundamentals, programming (such as Java, Python, or C++), and a relevant degree or equivalent experience. Familiarity with cloud computing platforms like AWS, software development tools, and version control systems such as Git is essential. Strong problem-solving, self-motivation, and effective communication are key soft skills for collaborating remotely and driving projects forward. These skills and qualities are critical for delivering scalable, high-quality solutions while working independently within Amazon's dynamic and distributed teams.

What is the difference between Remote Amazon Computer Science vs Remote Amazon Software Development?

AspectRemote Amazon Computer ScienceRemote Amazon Software Development
Required CredentialsBachelor's in Computer Science or related field, possibly some certificationsBachelor's in Computer Science or related field, often with coding certifications
Work EnvironmentResearch, data analysis, algorithm design, theoretical workCode writing, application development, system implementation
Employer & Industry UsageAmazon research labs, data teams, algorithm groupsAmazon software engineering teams, product development
Common Search & Comparison IntentUnderstanding research roles vs development roles at AmazonDistinguishing between development and research positions at Amazon

Remote Amazon Computer Science roles focus on research, algorithms, and theoretical work, while Remote Amazon Software Development roles emphasize coding, application building, and system implementation. Both require a strong foundation in computer science but differ in daily tasks and work environment.

What are popular job titles related to Remote Amazon Computer Science jobs in South Carolina?

For Remote Amazon Computer Science jobs in South Carolina, the most frequently searched job titles are:

What job categories do people searching Remote Amazon Computer Science jobs in South Carolina look for?

The top searched job categories for Remote Amazon Computer Science jobs in South Carolina are:

What cities in South Carolina are hiring for Remote Amazon Computer Science jobs?

Cities in South Carolina with the most Remote Amazon Computer Science job openings:

Remote Amazon Computer Science jobs near you
Infographic showing various Remote Amazon Computer Science job openings in South Carolina as of August 2026, with employment types broken down into 76% Full Time, 14% Part Time, and 10% Contract. Highlights an 100% Remote job distribution.

Software Product Engineer (Remote Opportunity)

Charleston, SC • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees
Learn more about VetsEZexternal

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 7 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.

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