Sr. Systems Engineer- AWS Cloud Applications Full Time NEW

Location: Remote Work, TX, US

Date Posted: 2026-05-13

Category: Engineering and Sciences

Subcategory: Systems Engineer

Schedule: Full-Time

Shift: Day Job

Travel: No

Minimum Clearance Required: None

Clearance Level Must Be Able to Obtain: Public Trust

Potential for Remote Work: ORA_REMOTE

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

REQUIRED CERTIFICATIONS

• AWS Certified Developer – Associate required

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

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

Target salary range: $80,001 – $120,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.