Software Product Engineer
# Software Product Engineer **Decisive Point Consulting Group** · United States · `Remote` · `Full Time` 💼 **Уровень роли:** `Mid-level` 💰 **Компенсация:** `$100,000 – $120,000` 🕒 **Статус:** *Опубликовано: сегодня* · *Источник: Himalayas (JSON API)* --- ### Top Skills & Match 🎯 **Ключевой стек роли:** `[Software-Engineer]` `[Product-Software-Engineer]` `[Backend-Engineer]` `[Full-Stack-Engineer]` `[Product-Engineer]` `[Software-Product-Engineering]` `[Product-Software-Engineering]` `[Software-Developer]` `[Developer]` --- ### About the Role 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. Originally posted on Himalayas
- Software-Engineer
- Product-Software-Engineer
- Backend-Engineer
- Full-Stack-Engineer
- Product-Engineer
- Software-Product-Engineering
- Product-Software-Engineering
- Software-Developer
- Developer
Наблюдалась 2026-10-16, впервые 2026-10-16, источник — Himalayas (JSON API).