Software Product Engineer

VetsEZ

Software Product Engineer building scalable AI-enabled healthcare systems for a federal government project. Designing Node.js/TypeScript microservices and cloud-native AWS architectures.

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

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and building event-driven, data-intensive backend services using Node.js and TypeScript, with a strong focus on AI-enabled systems in healthcare. Proficient in microservices architecture, test-driven development, and cloud-native solutions utilizing AWS services.

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

Node.jsTypeScriptAI-Enabled SystemsMicroservicesREST APIsPostgreSQLAmazon AuroraCI/CD PipelinesContainerizationRelational Data Modeling

Soft Skills

Problem-SolvingCommunicationCollaboration

Tools & Technologies

AWSAmazon SQSAmazon S3DockerKubernetesCursorGitHub CopilotOpenAI CodexClaude Code

Certifications & Qualifications

Bachelor's Degree in Computer ScienceSoftware EngineeringArtificial Intelligence

Industry Keywords

HealthcareAI WorkloadsFHIRHL7Regulated Environments

Tech Stack

Tools & technologies

AWSCloudDistributed SystemsDockerJavaScriptKubernetesMicroservicesNode.jsPostgresReactTypeScript

About the role

Key responsibilities & impact

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 microservices architectures with clear service boundaries and data ownership
Design synchronous REST and asynchronous messaging patterns and deliver independently deployable services
Drive test-driven development across the team, including unit, integration, and contract testing
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, and technical leadership to translate requirements and research concepts into secure, reliable, deployable solutions
Take on additional tasks and responsibilities as needed to support team objectives and project success

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
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 (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 background check
Ability to obtain and maintain a government/public Trust clearance, including required fingerprinting, when required for the position
Sponsorship is not offered

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