Note: The job is a remote job and is open to candidates in USA. VetsEZ is hiring a Software Product Engineer for a fully remote federal government project focused on healthcare technology. The role will lead the design and development of scalable cloud-based architectures, AI-enabled systems, distributed services, and automated workflows while collaborating with engineering, product, and technical leadership teams.
Responsibilities
- Design and build event-driven, data-intensive backend services in Node.js / TypeScript, using cloud native solutions such Amazon Aurora (PostgreSQL), ECS and SQS to support AI workloads at scale
- Decompose complex healthcare and AI workflows into a microservices architecture — defining clear service boundaries and data ownership, designing inter-service communication across synchronous REST and asynchronous messaging (SQS/event-driven) patterns, and delivering independently deployable, loosely coupled services that scale and fail independently
- Drive a test-driven development (TDD) practice across the team — writing tests before implementation, maintaining strong coverage across unit, integration, and contract tests, and using the test suite to guide design, prevent regressions, and ensure the reliability of AI-enabled services in a regulated environment
- Develop AI pipelines that process structured and unstructured data to support intelligent decision systems
- Design and implement scalable AI-enabled systems and services that support mission-critical healthcare platforms
- Design cloud-native architectures and distributed systems that support AI-driven applications
- Collaborate with cross-functional teams to translate product requirements and research concepts into deployable solutions
- Take on additional tasks and responsibilities as needed to support team objectives and ensure the success of the project
Skills
- The candidate must reside within the continental US
- * 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, with a proven ability to leverage these tools to accelerate development, improve productivity, and enhance code quality
- * Hands-on experience with AWS data and messaging services, to build event-driven, data-intensive services that support AI workloads
- 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) to ensure reliability and maintainability of production services
- * 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
- * U.S. Citizenship is required
- * Ability to obtain and maintain a government/ public Trust clearance, including required fingerprinting, when required for the position
- * 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
Benefits
- 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.
Company Overview