Software Product Engineer

🔥 0 minutes ago

🌴 South Carolina – Remote

🌴 South Carolina – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🧑‍💻 Full-stack Engineer

👻 Ghost score 21%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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VetsEZ

WebsiteLinkedInAll Job Openings

201 - 500 employees

🏥 Healthcare

💼 Consulting

📦 Logistics

Healthcare • Consulting • Logistics

VetsEZ is a company specializing in digital transformation within the federal sector. It provides solutions such as PMO (Project Management Office), software solutions, and data solutions to its clients. VetsEZ is actively involved in securing and managing large contracts, such as a 5-year, $158M contract for Community Care Development, Security, and Operations (CCDSO) Support Services, and a 5-year, $415M contract for Health Middleware and Data Management (HMDM) DevSecOps Support Services. The company also supports the Veterans Affairs (VA) through prescription drug monitoring programs and other health data management services. VetsEZ focuses on leveraging technology to improve healthcare and data management for federal clients.

📋 Description

• Lead the design and development of complex systems that automate complex workflows, support data-driven decision-making, and enhance healthcare technology platforms • Design and build event-driven, data-intensive backend services in Node.js / TypeScript using Amazon Aurora (PostgreSQL), ECS, and SQS to support AI workloads at scale • Decompose complex healthcare and AI workflows into a microservices architecture, defining service boundaries and data ownership • Design synchronous REST and asynchronous messaging (SQS/event-driven) inter-service communication patterns • Deliver independently deployable, loosely coupled services that scale and fail independently • Drive a test-driven development (TDD) practice across the team • Develop AI pipelines processing structured and unstructured data for intelligent decision systems • Design and implement scalable AI-enabled systems and services for mission-critical healthcare platforms • Design cloud-native architectures and distributed systems supporting AI-driven applications • Collaborate with engineering teams, product stakeholders, cross-functional teams, and technical leadership to translate requirements and research concepts into deployable solutions • Take on additional tasks and responsibilities as needed to support team objectives and project success • Complete fingerprinting at a government facility and undergo a background check as part of the hiring process

🎯 Requirements

• 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 • Proven ability to leverage AI-assisted development tools to accelerate development, improve productivity, and enhance code quality • Hands-on experience with AWS data and messaging services • Experience designing and developing microservices, REST APIs, and distributed systems supporting AI workloads • Demonstrated practice of test-driven development (TDD) and automated testing, including unit, integration, and contract tests • 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 • 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 and object storage with Amazon S3 • Experience with container technologies such as Docker or Kubernetes • U.S. Citizenship is required • All selected candidates must successfully complete a background check • Ability to obtain and maintain a government/public Trust clearance, including required fingerprinting, when required for the position • Must reside within the continental US • Sponsorship is not available

🏖️ Benefits

• Medical, Dental, and Vision Insurance • 401(k) with Employer Match • Paid Time Off (PTO) plus Federal Holidays • Corporate Laptop • Training and Professional Development Opportunities • 100% Remote Opportunity