| Required Skills and Experience |
- Experience with back-end development using languages such as .Net/C#, Go, Python, Java, or NodeJS
- A demonstrated understanding of AWS-native application patterns and cloud integrations
- 8+ years of software development experience, specifically with back-end engineering
- Experience developing cloud-native applications within AWS environments
- Experience designing and consuming RESTful APIs in healthcare, enterprise, or distributed-system environments
- Proven experience building back-end services that process and deliver structured healthcare or EDI data
- Experience working with asynchronous messaging, event-driven systems, or distributed application workflows
- Hands-on experience developing applications that interact with AWS services such as SQS, SNS, Lambda, S3, API Gateway, EventBridge, DynamoDB, ECS/EKS, and CloudWatch
- Experience designing cloud-native APIs and distributed application interactions
- Experience building applications that consume and transform structured data formats including JSON, XML, and EDI transactions
- Experience working with healthcare EDI data formats and transaction processing workflows
- An understanding of distributed-system concepts such as retries and idempotency, asynchronous processing, fault tolerance, and service resiliency
- Experience with unit and integration testing frameworks (JUnit, xUnit, Jest, pytest, or equivalent)
- Proficiency with Git and GitHub collaborative development practices
- An ability to evaluate when AI-assisted code generation is appropriate and when manual engineering judgment, validation, security review, or deeper analysis is required
- An understanding of the limitations, risks, and verification requirements associated with AI-generated code and technical outputs, particularly in regulated healthcare-related environments
- Experience using AI-assisted development tools responsibly within professional engineering workflows
- The ability to evaluate, validate, test, and refine AI-generated code and technical outputs using sound engineering judgment
- Strong communication skills with the ability to collaborate across engineering, platform, DevSecOps, and business teams
- The ability to work independently and effectively within a distributed engineering organization
- Strong attention to detail, especially around healthcare data accuracy and fidelity
- Experience participating in peer code reviews and providing constructive technical feedback
- Experience working within Agile development methodologies (Scrum, Kanban, SAFe, or similar)
- The ability to analyze and troubleshoot complex application integration and data-processing issues
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| Professional Certifications | AWS Certified Developer – Associate required |
| Years of Professional Experience | n/a |
| Desired experience | Electronic Data Interchange X.12 (EDI) Medical Claims- X.12, Medical Claims (837, 835, 277CA, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
Experience with healthcare payer/Pharmacy Benefit Management (PBM) systems, clearinghouses, or pharmacy operations Experience with VA systems, Active Role Services (ARS) workflows, or 275 claim attachment transactions Knowledge of HIPAA compliance requirements related to API and healthcare application development Experience with containerized application development platforms Experience with CI/CD development workflows and automated testing pipelines An understanding of the limitations, risks, and compliance considerations associated with AI-assisted development in regulated environments |
| Formal Education | Bachelor’s degree or higher in Computer Science, Engineering, or a related technical discipline; equivalent practical experience considered |
| Citizenship Requirement | U.S. Citizenship required for this specific opportunity |
| Security Clearance Requirements | Must possess or qualify for a Public Trust (MBI) |
| CRITICAL NOTES: | - SSG will not make assumptions regarding your qualifications. Your answers to the mandatory screening questions must be supported by the information on your resume. Applications with inconsistencies will not be considered.
- Recruiters or Third parties will not be considered.
- This is a 100% U.S. based remote position. However, candidates from CA, CO, IL, MN, NJ, NY, OR, or WA will not be considered.
- This is a W-2 position
- All interviews will be conducted on Microsoft Teams with your camera on; there will be no exceptions
- As part of our screening process, you will be requested to provide a link to your LinkedIn profile
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