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Amazon Medical Remote Coding Jobs in Georgia (NOW HIRING)

Provide technical leadership for AI/ML platforms including Palantir, AWS Bedrock, Amazon SageMaker ... Enhance CI/CD pipelines, deployment automation, infrastructure-as-code, and model release processes.

Brand Director

Alpharetta, GA · Remote

$60K - $100K/yr

This is a remote position. This role will liaise with their clients and pitch strategies that align ... Requirements * 3+ years of Amazon Seller Central experience or comparable knowledge (flat files ...

Senior Data Engineer

Atlanta, GA · On-site +1

$104K - $141K/yr

... code. This role is ideal for a seasoned engineer who thrives in complex data environments ... Although this position is 100% remote , you must be comfortable working East Coast hours.

Senior Cloud Devops Engineer

Atlanta, GA · On-site +1

$125K - $160K/yr

Infrastructure as Code * Build and maintain modular Terraform codebases for AWS and EKS ... and remote state management. * Hands-on Amazon EKS experience including managed node groups ...

Showing results 41-60

Amazon Medical Remote Coding information

What is Amazon medical remote coding?

Amazon Medical Remote Coding refers to positions where professionals review and assign standardized codes to medical diagnoses and procedures for Amazon’s healthcare-related services, all while working remotely. Coders ensure accuracy and compliance with healthcare regulations, which is crucial for billing, reimbursement, and maintaining patient records. These roles typically require certification in medical coding, attention to detail, and a solid understanding of healthcare terminology. Working remotely offers flexibility, but also requires self-motivation and reliable internet access.

What are the key skills and qualifications needed to thrive as an Amazon medical remote coder?

To thrive as an Amazon Medical Remote Coder, you need a solid understanding of medical terminology, coding systems (like ICD-10, CPT, and HCPCS), and a relevant certification such as CPC or CCS. Familiarity with electronic health records (EHRs), coding software, and compliance tools is typically required. Attention to detail, analytical thinking, and strong organizational skills are essential soft skills for accuracy and efficiency. These competencies are critical for ensuring correct billing, regulatory compliance, and supporting the operational efficiency of remote healthcare services.

What are some common challenges faced by remote medical coders at Amazon, and how can they be managed?

Remote medical coders at Amazon often face challenges such as maintaining accuracy in a fast-paced environment, adapting to evolving coding guidelines, and staying connected with a distributed team. To manage these challenges, coders can leverage Amazon's robust training resources, participate in regular virtual meetings, and utilize collaboration tools to communicate with peers and supervisors. Additionally, staying organized and proactive about continuing education helps ensure consistent quality and compliance with industry standards.

What is the difference between Amazon Medical Remote Coding vs Amazon Medical Billing?

AspectAmazon Medical Remote CodingAmazon Medical Billing
CertificationsCertified Professional Coder (CPC), CCSMedical Billing and Coding Certification (CBC, CPC)
Work EnvironmentRemote, healthcare facilities, insurance companiesRemote, healthcare providers, insurance companies
Job FocusAssigning medical codes for diagnoses and proceduresProcessing and submitting insurance claims, billing patients
Industry UsageHealthcare, insurance, medical facilitiesHealthcare, insurance, medical offices

Amazon Medical Remote Coding involves assigning accurate medical codes to diagnoses and procedures, primarily focusing on documentation and coding accuracy. In contrast, Amazon Medical Billing centers on submitting claims, managing payments, and handling insurance reimbursements. Both roles often require similar certifications and are performed remotely within the healthcare industry, but they focus on different aspects of the medical revenue cycle.

What are popular job titles related to Amazon Medical Remote Coding jobs in Georgia?

For Amazon Medical Remote Coding jobs in Georgia, the most frequently searched job titles are:

What cities in Georgia are hiring for Amazon Medical Remote Coding jobs?

Cities in Georgia with the most Amazon Medical Remote Coding job openings:

Infographic showing various Amazon Medical Remote Coding job openings in Georgia as of September 2026, with employment types broken down into 55% Full Time, and 45% Part Time. Highlights an 100% Remote job distribution.

Software Product Engineer (Remote Opportunity)

Atlanta, GA • On-site, Remote

VetsEZ
IT Services • 51 - 200 employees

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 23 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.