Jobs at VetsEZ

Design and develop scalable, cloud-native, AI-enabled healthcare systems and event-driven backend services. Build microservices, REST APIs, asynchronous workflows, AI pipelines, and distributed architectures using Node.js, TypeScript, React, and AWS. Establish test-driven development and automated testing practices, implement CI/CD and containerized deployments, troubleshoot complex systems, and collaborate with product and engineering stakeholders. The role supports a large federal project and requires U.S. citizenship, background screening, and eligibility for Public Trust clearance.

Designs and develops scalable, cloud-native AI systems and event-driven backend services for mission-critical healthcare and federal platforms. The role builds microservices, REST APIs, asynchronous workflows, AI data pipelines, and distributed architectures using AWS technologies. Responsibilities include driving test-driven development, automated testing, CI/CD, containerized deployments, troubleshooting complex systems, and collaborating with product and engineering stakeholders. The position requires production AI experience, strong Node.js and TypeScript skills, U.S. citizenship, and eligibility for a Public Trust clearance.

Leads enterprise security engineering and architecture for a federal healthcare modernization program. Oversees ISSO and ISSE teams, ATO and System Security Plan activities, continuous monitoring, Zero Trust compliance, risk and control assessments, vulnerability remediation, application security testing, penetration testing, and federal security compliance. Provides technical direction, stakeholder communication, mentoring, and remediation planning across cloud, DevSecOps, development, testing, integration, and production environments.

Leads enterprise architecture and technical solutioning for a federal healthcare modernization project supporting Census Bureau mission systems. Develops architectures, standards, technical approaches, diagrams, workflows, and implementation guidance across cloud, data, analytics, AI/ML, interoperability, cybersecurity, and DevSecOps environments. Collaborates with government leaders, program managers, engineers, and contractors to deliver scalable, secure, maintainable, performant, and cost-effective solutions. Supports architecture reviews, technical briefings, and disciplined Agile program execution.

Leads enterprise testing and quality engineering for a federal healthcare modernization project. Responsibilities include designing comprehensive test strategies, developing automated test suites and validation frameworks, integrating continuous testing and quality gates into DevSecOps CI/CD pipelines, applying AI-assisted testing techniques, leading defect triage and root-cause analysis, and coordinating release readiness with technical, program, cybersecurity, and government stakeholders.

Leads the Program Management Office for a federal healthcare modernization contract, overseeing multiple projects, vendors, budgets, schedules, staffing, risks, quality, deliverables, performance, and contractual compliance. Serves as the primary government and partner contact, coordinates geographically dispersed teams, leads program reviews, and provides financial, technical, and contract reporting. The role requires extensive federal IT program management experience, PMP certification, U.S. citizenship, and eligibility for Public Trust clearance.

Lead technical solution development and proposal strategy for HHS and federal healthcare opportunities. Partner with BD, Capture, and Proposal teams to author technical volumes, solution architectures, implementation and transition plans, and staffing strategies. Interview SMEs, translate complex technical concepts into compliant persuasive content, participate in capture and proposal reviews, and support customer solution sessions and proposal submissions.

Design, customize, and maintain Dynamics 365 (Customer Service) solutions including plugins, workflows, integrations, and process automation. Collaborate with stakeholders to gather requirements, perform testing and deployments, optimize performance, provide ongoing support and documentation, and ensure Microsoft best practices, security, and compliance.

Build and deploy AI-powered features and full-stack applications for healthcare platforms using LLMs and modern AI engineering tools. Develop APIs, backend services, automation pipelines, and production-ready MLOps/DevOps workflows. Collaborate with product, design, and clinical stakeholders, research emerging AI technologies, and support scalable, secure deployments in an Agile remote environment.

The Proposal Solutions Architect will lead technical solution development for VA healthcare opportunities, author proposals, and support capture activities, ensuring compliance and strategic alignment.

Manage full lifecycle technical recruiting for federal healthcare technology programs: source, screen, coordinate interviews, negotiate offers, maintain ATS pipelines, support proposal staffing, and deliver a strong candidate experience in a fast-paced remote environment.

The role involves designing, coding, and testing software, maintaining CI/CD pipelines, supporting HealthShare applications, and automating infrastructure.

Design, develop, test, and maintain full-stack web applications, APIs, integrations, and data components using front-end and back-end technologies. Collaborate with product, architecture, QA, and DevSecOps teams in Agile delivery. Troubleshoot across application layers, support releases and production issues, improve security and performance, document development practices, and mentor junior developers for a federal healthcare technology program.

Direct enterprise quality assurance and quality engineering strategy across software products, integrations, cloud platforms, data systems, and AI-enabled applications. Establish testing governance, automation frameworks, quality metrics, executive reporting, and CI/CD quality gates. Lead distributed QA organizations, oversee testing and audit readiness, manage risk and compliance, and partner with executive, product, engineering, and business stakeholders. Ensure adherence to healthcare, government, accessibility, and Section 508 requirements.

Supports federal healthcare IT intake operations by coordinating schedules, meetings, requests, deliverables, documentation, reports, dashboards, audits, and process improvements. Collaborates with government stakeholders, architecture teams, and business customers; tracks action items and requirements; maintains knowledge repositories; reviews deliverable quality; and communicates technical concepts to nontechnical audiences. May act for the Intake Lead and contribute to PI Planning.

Design, build, and maintain secure, scalable RESTful .NET APIs (C#, ASP.NET Web API, .NET Framework/.NET Core); implement OAuth/JWT authentication; deploy via CI/CD and Azure API Management; write tests, troubleshoot production issues, modernize legacy services, and collaborate with cross-functional Agile teams using AI-assisted development tools.

Design, implement, and maintain a secure Azure-based integration platform. Build and manage GitHub CI/CD pipelines, automate provisioning with Terraform and PowerShell, support Azure system administration and container deployments, implement DevOps/DevSecOps best practices, troubleshoot production issues, document systems, and collaborate with cross-functional teams to improve reliability and security.

Lead delivery of enterprise AI/Generative AI projects for VA healthcare: manage planning, Agile execution, stakeholder engagement, risk, governance, security, clinical validation, and cross-team coordination to deliver RAG/LLM-based summarization and search solutions.

Lead design and implementation of secure, scalable AI solutions (LLMs, RAG) for VA JLV. Define architecture, data flows, integration (FHIR/HL7), model selection, monitoring, and governance; collaborate with DevSecOps, cybersecurity, and clinical SMEs; support ATO and Responsible AI requirements; mentor engineers and present architecture to stakeholders.

Design and build secure, cloud-native AI applications using LLMs, RAG, and Amazon Bedrock to provide AI-assisted search, summarization, and clinical question-answering; integrate with enterprise healthcare systems using FHIR/HL7, implement vector search and prompt orchestration, ensure Fed security/privacy compliance and CI/CD, and support testing, monitoring, and governance for production readiness.