Sr. Systems Engineer- AWS Cloud Applications

Job Description

Description Senior Software Engineer - AWS Cloud Applications SAIC is 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. JOB DESCRIPTION

• 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

Qualifications

EDUCATION

• Bachelor's or master's degree in Computer Science, Engineering, or related technical discipline required; equivalent practical experience considered

EXPERIENCE

• 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

REQUIREMENTS Core Technical

• 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

Process & Soft Skills

• 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

NICE TO HAVE

• 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

CLEARANCE REQUIREMENT

• US Citizenship required with the ability to obtain and maintain a Public Trust clearance

Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.

Overview

SAIC accepts applications on an ongoing basis and there is no deadline. Apply To This Job