- Experience with backend development languages such as .Net/C#, Go, Python, Java, or NodeJS
- Demonstrated understanding of AWS-native application patterns and cloud integrations
- 8+ years of software development experience with significant back-end engineering experience
- 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
- Strong back-end development experience using one or more modern programming languages such as .Net/C#, Go, Python, Java, and/or NodeJS
- Strong understanding of AWS application integration patterns including asynchronous messaging, event-driven workflows, API integrations, and managed service interactions
- 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 integrations
- 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 or healthcare-related environments
- Experience with AI-assisted development tools responsibly within professional engineering workflows
- An 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
- An 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)
- An ability to analyze and troubleshoot complex application integration and data-processing issues
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| Desired experience | Electronic Data Interchange X.12 (EDI) Medical Claims- X.12, Medical Claims (837, 835, 277CA, 275, etc), Health Level (HL7), Fast Healthcare Interoperability Resources (FHIR)
Experience with healthcare payer/pharmacy systems, clearinghouses, or pharmacy operations Knowledge of HIPAA compliance requirements related to API and healthcare application development Experience with containerized application development patterns 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 Experience working with remote U.S. based teams (Not Offshore teams) |
| 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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