Senior Software Engineer (AWS)

Decisive Point Consulting• US,

2h•Remote

About The Position

Currently seeking a Senior Software Engineer with strong AWS cloud application development experience to support and modernize healthcare transaction processing and backend data platforms. This role focuses on building cloud-native application services, APIs, integrations, and distributed workflows within an AWS-hosted ecosystem. The ideal candidate understands how modern applications leverage AWS-managed services and event-driven architectures to process, transform, and deliver healthcare data reliably and securely. Experience with backend development using languages such as .NET/C#, Go, Python, Java, or Node.js is required; however, demonstrated understanding of AWS-native application patterns and cloud integrations is more important than specialization in a specific programming language. This is a 100% remote role.

Requirements

8+ years of software development experience with significant backend 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 backend services that process and deliver structured healthcare or EDI data
Experience working with asynchronous messaging, event-driven systems, or distributed application workflows
Strong backend development experience using one or more modern programming languages such as .NET/C#, Go, Python, Java, Node.js
Strong understanding of AWS application integration patterns including asynchronous messaging, event-driven workflows, API integrations, 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
Understanding of distributed-system concepts such as retries and idempotency, asynchronous processing, fault tolerance, service resiliency
Experience with unit and integration testing frameworks (JUnit, xUnit, Jest, pytest, or equivalent)
Proficient with Git and GitHub collaborative development practices
Ability to evaluate when AI-assisted code generation is appropriate and when manual engineering judgment, validation, security review, or deeper analysis is required
Understanding of the limitations, risks, and verification requirements associated with AI-generated code and technical outputs, particularly in regulated or healthcare-related environments
Experience using AI-assisted development tools responsibly within professional engineering workflows
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
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)
Ability to analyze and troubleshoot complex application integration and data-processing issues
AWS Certified Developer – Associate required
US Citizenship required with the ability to obtain and maintain a Public Trust clearance

Nice To Haves

Experience with healthcare payer/PBM systems, clearinghouses, or pharmacy operations
Experience with VA systems, ARS workflows, or 275 claim attachment transactions
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
Understanding of the limitations, risks, and compliance considerations associated with AI-assisted development in regulated environments

Responsibilities

Design, build, and maintain RESTful APIs and backend services that retrieve, transform, and serve healthcare EDI and transactional data
Build and integrate cloud-native application services within an AWS-hosted environment
Design and implement event-driven and asynchronous workflows using AWS-managed services and messaging patterns
Integrate with internal platform APIs, EDI processing pipelines, and cloud-based data services to deliver live and historical transaction data reliably and efficiently
Develop application integrations leveraging AWS services such as SQS, SNS, Lambda, S3, EventBridge, API Gateway, DynamoDB, and ECS/EKS
Write clean, testable, well-documented code and participate actively in peer code reviews
Perform unit and integration testing across backend services and API layers
Apply and promote modern software engineering best practices within an agile development environment
Use Git and GitHub for version control, branching strategies, pull requests, and collaborative development

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