Software Product Engineer (Remote Opportunity)

VetsEZ•Atlanta, GA

1d•Remote

About The Position

We are currently looking for a Software Product Engineer for a 100% remote position on a large federal government project. This role will lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms. The ideal candidate would be a highly experienced engineer with deep expertise in designing scalable cloud-based architectures and building production-grade AI applied solutions. This role will collaborate closely with engineering teams, product stakeholders, and technical leadership to translate complex concepts into secure, reliable, and scalable solutions. The candidate must reside within the continental US.

Requirements

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.

Nice To Haves

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.

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.