Software Product Engineer

Decisive Point Consulting Group; Idaho; Remoto; USD 100.000 - 120.000; Tempo pieno

Descrizione del lavoro

Decisive Point Consulting Group is seeking a Software Product Engineer for a 100% remote role on a federal government project. You will lead design and development of scalable, cloud-native AI-enabled systems and microservices, collaborating with product stakeholders and engineering leadership to deliver secure, reliable solutions.

The ideal candidate has 5+ years of professional software engineering experience, strong React/Node.js/TypeScript skills, and hands-on use of AI-assisted tools.

Competenze

• Bachelor's degree in Computer Science or a related technical field.
• 5+ years of professional software engineering experience, including AI-enabled systems.
• Strong hands-on 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 Copilot/Codex, with a proven ability to accelerate development.
• Hands-on experience with AWS data and messaging services for event-driven workloads.
• Experience designing and developing microservices, REST APIs, and distributed AI workloads.
• Demonstrated practice of TDD and automated testing to ensure reliability.
• Experience implementing CI/CD, containerized deployments, and DevOps practices.
• Strong problem-solving abilities and collaboration skills.

Mansioni

• Design and build event-driven, data-intensive backend services in Node.js / TypeScript, using cloud-native solutions.
• Decompose healthcare and AI workflows into a microservices architecture with clear boundaries.
• Drive a TDD practice across the team with strong test coverage and reliability.
• Develop AI pipelines that process structured and unstructured data for intelligent decisions.
• Design cloud-native architectures and distributed systems to support AI-driven applications.
• Collaborate with cross-functional teams to translate product requirements into deployable solutions.
• Take on additional tasks to support team objectives and project success.

Conoscenze

React

Node.js

TypeScript

AI/ML

AWS

REST APIs

Microservices

CI/CD

Docker

Kubernetes

Formazione

Bachelor's degree in Computer Science or related field

Strumenti

PostgreSQL/Aurora

Docker

Kubernetes

AWS

Descrizione del lavoro

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 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.