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VetsEZ

Senior Software Product Engineer

VetsEZ

. Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale .

Posted 10/16/2026full-timeRemote • North Carolina • United StatesSeniorWebsite

Core Competencies

Role fit
Core Competencies

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

Demonstrates expertise in designing and developing event-driven, data-intensive backend services using Node.js, TypeScript, and AWS, with a strong focus on AI-enabled systems and microservices architecture. Proficient in Test-Driven Development (TDD) and automated testing practices, with experience in healthcare and regulated environments.

Highest-signal resume keywords
Node.js DevelopmentMicroservices ArchitectureTest-Driven Development (TDD)AWS ServicesAI-Enabled Systems

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
Node.jsTypeScriptMicroservicesREST APIsTest-Driven Development (TDD)AWSPostgreSQLDockerKubernetesAI Integration
Soft Skills
Problem-SolvingAnalytical SkillsCommunication SkillsCollaboration SkillsMentoring
Tools & Technologies
Amazon AuroraAmazon SQSCI/CD PipelinesAI-Assisted Development ToolsContainer Technologies
Industry Keywords
Healthcare ApplicationsAI WorkloadsRegulated EnvironmentsHealthcare Interoperability StandardsDepartment of Veterans Affairs (VA)

Tech Stack

Tools & technologies
AWSCloudDistributed SystemsDockerJavaScriptKubernetesMicroservicesNode.jsPostgresReactTypeScript

About the role

Key responsibilities & impact
  • Design and develop event-driven, data-intensive backend services using Node.js, TypeScript, AWS, and cloud-native technologies to support AI workloads at scale
  • Architect and implement microservices-based solutions with clearly defined service boundaries, REST APIs, and asynchronous messaging patterns
  • Lead the development and deployment of AI-enabled systems that process structured and unstructured data to support intelligent decision-making
  • Drive Test-Driven Development (TDD) practices and maintain automated testing strategies across unit, integration, and contract testing
  • Design scalable cloud-native architectures and distributed systems that support mission-critical healthcare applications
  • Collaborate with product owners, engineers, and stakeholders to translate business requirements into production-ready technical solutions
  • Evaluate emerging AI technologies, frameworks, and tools to support innovation, modernization, and long-term scalability
  • Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project

Requirements

What you’ll need
  • Bachelor's degree in Computer Science, Software Engineering, Artificial Intelligence, or a related technical discipline
  • 6+ years of professional software engineering experience, including experience designing and deploying AI-enabled systems in production environments
  • Experience implementing CI/CD pipelines, containerized deployments, and DevOps best practices
  • Experience designing and developing microservices, REST APIs, and distributed systems
  • Demonstrated experience applying Test-Driven Development (TDD) methodologies and automated testing practices
  • Strong experience with React, Node.js, and TypeScript
  • Experience integrating Large Language Models (LLMs) and AI services such as OpenAI, Amazon Bedrock, Anthropic Claude, or similar platforms
  • Experience with AWS services including Amazon Aurora (PostgreSQL), ECS, SQS, S3, and related cloud-native technologies
  • Experience building event-driven and data-intensive applications
  • Experience with container technologies such as Docker and Kubernetes
  • Proficiency with AI-assisted development tools such as Cursor, GitHub Copilot, OpenAI Codex, or Claude Code
  • Strong problem-solving and analytical skills
  • Excellent verbal and written communication skills
  • Ability to lead technical discussions and influence engineering decisions
  • Demonstrated ability to mentor engineers and promote engineering best practices
  • Strong collaboration skills with cross-functional teams and stakeholders
  • Experience developing AI solutions within healthcare, federal government, or other regulated environments
  • Familiarity with healthcare interoperability standards such as FHIR and HL7
  • Experience with AI orchestration frameworks, agent-based architectures, or intelligent automation platforms
  • Experience with PostgreSQL and Amazon Aurora data modeling and performance optimization
  • Experience building asynchronous, message-driven workflows using Amazon SQS or comparable technologies
  • Experience supporting Department of Veterans Affairs (VA) projects
  • Ability to obtain and maintain a U.S. government clearance
  • Must reside within the continental US
  • Selected candidates must complete fingerprinting at a government facility and undergo a background check
  • Sponsorship is not offered

Benefits

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