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Senior Systems Engineer; AWS Cloud

Remote / Online - Candidates ideally in
Clearwater, Pinellas County, Florida, 34623, USA
Listing for: Syms Strategic Group, LLC
Full Time, Remote/Work from Home position
Listed on 2026-05-19
Job specializations:
  • Software Development
    Cloud Engineer - Software, Software Engineer
Salary/Wage Range or Industry Benchmark: 100000 - 130000 USD Yearly USD 100000.00 130000.00 YEAR
Job Description & How to Apply Below
Position: Senior Systems Engineer (AWS Cloud Applications)

Syms Strategic Group (SSG) is seeking a talented Senior Systems Engineer (Amazon Web Services (AWS) Cloud Applications).

Location:

Remote. Department:
Veterans Affairs (VA). Type:
Full Time.

Minimum Experience:

Experienced. Security Clearance Level: Public Trust (MBI).

Essential Duties and Responsibilities
  • Support and modernize healthcare transaction processing and back-end data platforms
  • Understand how modern applications leverage AWS-managed services and event-driven architectures to process, transform, and deliver healthcare data reliably and securely
  • Design, build, and maintain Representational State Transfer Application Programming Interfaces (RESTful APIs) and backend services that retrieve, transform, and serve healthcare Electronic Data Interchange (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 line and historical transaction data reliably and efficiently
  • Develop application integrations leveraging AWS services such as SQS, SNS, Lambda, S3, Event Bridge, API Gateway, Dynamo

    DB, and ECS/EKS
  • Write clean, testable, and well-documented code and participate actively in peer code views
  • Perform unit and integration testing across backend services and API layer
  • Apply and promote modern software engineering best practices within an Agile development environment
  • Use Git/Git Hub for version control, branching strategies, pull requests, and collaborative development
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, Event Bridge, Dynamo

    DB, ECS/EKS, and Cloud Watch
  • 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 Git Hub 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, Dev Sec Ops , 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…
Position Requirements
10+ Years work experience
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