Software Product Engineer

VetsEZ

Software Product Engineer building scalable AI and cloud-native healthcare systems for a federal government project. Designing Node.js microservices, data pipelines, and distributed services.

Posted 8/21/2026full-timeRemote • South Carolina • 🇺🇸 United StatesMid-LevelSeniorWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in designing and developing AI-enabled systems and microservices architectures within healthcare technology platforms, utilizing Node.js, TypeScript, and AWS services. Proven ability to implement test-driven development practices and collaborate effectively with cross-functional teams to deliver scalable solutions.

Highest-signal resume keywords

Node.js / TypeScript DevelopmentAI-Enabled Systems DesignMicroservices ArchitectureTest-Driven Development (TDD)AWS Data and Messaging Services

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Software EngineeringAI Pipeline DevelopmentREST API DesignMicroservices DevelopmentRelational Data ModelingPerformance TuningAsynchronous MessagingContainerizationCI/CD Pipeline ImplementationAutomated Testing

Soft Skills

Problem-SolvingCommunicationCollaborationTechnical GuidanceInfluencing Engineering Decisions

Tools & Technologies

Amazon AuroraAmazon SQSAmazon ECSDockerKubernetesCursorGitHub CopilotOpenAI CodexClaude CodeAmazon S3

Industry Keywords

Healthcare TechnologyAI WorkloadsFHIRHL7Healthcare Interoperability StandardsRegulated EnvironmentsGovernment/Public Trust Clearance

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerJavaScriptKubernetesMicroservicesNode.jsPostgresReactTypeScript

About the role

Key responsibilities & impact

Lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms
Design and build event-driven, data-intensive backend services in Node.js / TypeScript using Amazon Aurora (PostgreSQL), ECS, and SQS to support AI workloads at scale
Decompose complex healthcare and AI workflows into a microservices architecture, defining service boundaries and data ownership
Design synchronous REST and asynchronous messaging (SQS/event-driven) inter-service communication patterns
Deliver independently deployable, loosely coupled services that scale and fail independently
Drive a test-driven development (TDD) practice across the team
Develop AI pipelines processing structured and unstructured data for intelligent decision systems
Design and implement scalable AI-enabled systems and services for mission-critical healthcare platforms
Design cloud-native architectures and distributed systems supporting AI-driven applications
Collaborate with engineering teams, product stakeholders, cross-functional teams, and technical leadership to translate requirements and research concepts into deployable solutions
Take on additional tasks and responsibilities as needed to support team objectives and project success
Complete fingerprinting at a government facility and undergo a background check as part of the hiring process

Requirements

What you’ll need

Bachelor's degree in computer science, Software Engineering, Artificial Intelligence, or a related technical discipline
5+ years of professional software engineering experience, including significant experience designing and deploying AI-enabled systems in production environments
Strong hands-on engineering experience with React and Node.js / TypeScript, building production-grade services, REST APIs, and integrations
Hands-on experience with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code
Proven ability to leverage AI-assisted development tools to accelerate development, improve productivity, and enhance code quality
Hands-on experience with AWS data and messaging services
Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads
Demonstrated practice of test-driven development (TDD) and automated testing, including unit, integration, and contract tests
Experience implementing CI/CD pipelines, containerized deployments, and DevOps practices for scalable AI systems
Strong problem-solving abilities and experience troubleshooting complex distributed systems
Strong communication and collaboration skills with the ability to guide technical discussions and influence engineering decisions
Experience building AI solutions within regulated environments such as healthcare or federal government systems
Familiarity with FHIR, HL7, or healthcare interoperability standards
Experience with AI orchestration frameworks, agent-based architecture, or intelligent automation systems
Experience with relational data modeling and performance tuning on PostgreSQL / Amazon Aurora
Experience building asynchronous, message-driven workflows using Amazon SQS and object storage with Amazon S3
Experience with container technologies such as Docker or Kubernetes
U.S. Citizenship is required
All selected candidates must successfully complete a background check
Ability to obtain and maintain a government/public Trust clearance, including required fingerprinting, when required for the position
Must reside within the continental US
Sponsorship is not available

Benefits

Comp & perks

Medical, Dental, and Vision Insurance
401(k) with Employer Match
Paid Time Off (PTO) plus Federal Holidays
Corporate Laptop
Training and Professional Development Opportunities
100% Remote Opportunity