Software Product Engineer

Decisive Point Consulting Group; United States; Remote; USD 100,000 - 120,000; Full time

Job summary

Decisive Point Consulting Group is seeking a Software Product Engineer for a 100% remote federal government project. You will design and build event-driven backend services on AWS to support AI workloads.

The ideal candidate has 5+ years' experience with React, Node.js/TypeScript, microservices, and TDD, and will collaborate with cross-functional teams to deliver scalable, secure healthcare-focused solutions.

Qualifications

• Bachelor's degree in CS, SE, AI, or related field.
• 5+ years in professional software engineering with AI-enabled systems.
• Strong React, Node.js/TypeScript production-grade services.
• Experience with AWS data and messaging services (SQS, S3) and PostgreSQL/Aurora.
• Proven TDD and automated testing discipline.
• CI/CD pipelines and containerized deployments (Docker/Kubernetes).
• Experience with microservices and distributed systems.
• Ability to obtain U.S. government clearance.

Responsibilities

• Design and build event-driven, data-intensive backend services in Node.js/TypeScript on AWS.
• Decompose workflows into microservices with clear data ownership and loose coupling.
• TDD-driven development with strong test coverage for AI-enabled services.
• Develop AI pipelines processing structured and unstructured data.
• Design scalable AI-enabled systems for healthcare platforms.
• Collaborate with cross-functional teams to translate requirements into deployable solutions.
• Support project objectives and take on additional tasks as needed.

Skills

React

Node.js

TypeScript

AI-enabled systems

Microservices

REST APIs

TDD

DevOps

Cloud architecture

Communication

Education

Bachelor's degree in Computer Science, Software Engineering, AI, or related technical discipline

Tools

React

Node.js

TypeScript

PostgreSQL/Aurora

AWS (SQS, S3)

Docker

Kubernetes

REST APIs

SQS

CI/CD

Cursor

GitHub Copilot

OpenAI Codex

Claude Code

Job description

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

2 days ago Requisition ID: 1379

Salary Range: $100,000.00 To $120,000.00 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 / 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 individuals based on merit, experience, and business needs, without regard to any protected status under applicable law.