Software Product Engineer

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.

Essential Functions:

• 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.

Required Experience:

• 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.

Additional Qualifications:

• 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 (or comparable queueing systems) and object storage with Amazon S3.
• Experience with container technologies such as Docker or Kubernetes.
• Experience supporting projects within the Department of Veterans Affairs (VA).
• Ability to obtain a U.S. government clearance.

*DPCG is an Equal Opportunity Employer committed to hiring and developing the most qualified individ…