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Software Product Engineer

Remote / Online - Candidates ideally in
Idaho, USA
Listing for: Decisive Point Consulting Group
Remote/Work from Home position
Listed on 2026-10-22
Job specializations:
  • Software Development
    Backend Developer, Cloud Engineer - Software, AI Engineer (Applied/Software), DevOps
Salary/Wage Range or Industry Benchmark: 100000 - 120000 USD Yearly USD 100000.00 120000.00 YEAR
Job Description & How to Apply Below

If you are unable to complete this application due to a disability, contact this employer to ask for an accommodation or an alternative application process.

Software Product Engineer

Full Time US

7 days ago Requisition

Salary Range: $ To $ Annually

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 / Type Script, 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 /
    Type Script , building production‑grade services, REST APIs, and integrations.
  • Hands‑on experience with AI-assisted development tools such as Cursor, Git Hub 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 Dev Ops 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…
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