Jobs at VetsEZ

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.

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.

Develop compliant and competitive pricing models, labor estimates, cost volumes, and financial analyses for federal proposal submissions. Collaborate with capture and proposal teams to prepare pricing documentation, conduct price-to-win and competitive assessments, maintain audit-ready pricing records, and support fast-paced, deadline-driven proposal efforts.

Design, administer, and optimize PostgreSQL and Microsoft SQL Server databases for mission-critical VA healthcare applications. Support cloud (AWS/Azure) deployments, backup/recovery, replication, performance tuning, automation (IaC), CI/CD, and collaborate with cross-functional Agile teams to ensure secure, scalable database environments.

Manage end-to-end federal proposal efforts: schedule and milestone management, compliance matrices, color team coordination, document production, RFI monitoring/submission, past performance maintenance, and proposal process improvements.

The Applied AI Product Engineer will design and develop AI-powered features for healthcare products, building full-stack applications while collaborating with various teams to enhance patient engagement and operational efficiency.

The Senior Backend Engineer will design and develop backend services and APIs, lead implementation efforts, optimize performance, and mentor junior engineers within an Agile framework.

Remote internship supporting federal healthcare technology business development and capture. Conduct market and competitive research, assist opportunity qualification and capture planning, support proposal development and CRM tracking, prepare presentations and executive briefings, analyze industry trends, and collaborate with cross-functional teams while gaining mentorship and hands-on BD experience.

Remote graduate-level internship supporting federal healthcare technology business development and capture. Conduct market and competitive research, assist capture planning and pipeline management, support proposal development and CRM tracking, prepare presentations and analyses, and collaborate with cross-functional teams under mentorship.

The Backend Engineer will develop, maintain, and optimize backend services and APIs for secure healthcare applications, collaborating within an Agile environment.

The Senior Backend Engineer will design and develop enterprise backend services, APIs, and integrations, collaborate closely with various teams, perform code reviews, and support agile delivery processes within a federal healthcare technology project.

Support federal business development by researching opportunities and competitors, maintaining Salesforce pipeline data, producing dashboards and analytics, assisting capture and proposal activities, and supporting leadership with market and competitive intelligence across VA, DHA, HHS, and other federal agencies.

Configure and maintain Dynatrace monitoring (dashboards, alerts, synthetics) for enterprise Salesforce applications; collaborate with development, infrastructure, and support teams to improve observability, identify and resolve performance issues, and enhance operational readiness.

Lead design and implementation of Azure-based enterprise data integrations and pipelines (Data Factory, Databricks, ADLS Gen2). Build secure REST API integrations, establish engineering standards, mentor developers, implement CI/CD and DevSecOps practices, and produce architecture and operational documentation for a VA/DoD-integrated healthcare modernization platform.

Design, build, and maintain secure, scalable RESTful APIs and Azure-hosted integration services for VA-DoD data access. Define OpenAPI contracts, implement authentication/authorization (OAuth2, mTLS), deploy cloud-native microservices, and implement monitoring and telemetry. Collaborate with architects, data engineers, and stakeholders to support enterprise interoperability, Agile delivery, and secure, maintainable integrations.

Lead design and operation of a secure, scalable Azure cloud platform for enterprise integrations. Build CI/CD pipelines, automate deployments (Data Factory, Databricks, APIs), implement cloud security controls, configure monitoring and disaster recovery, troubleshoot platform issues, and promote DevSecOps practices across teams in a regulated federal environment.

Lead design and development of cloud-native, event-driven backend services and AI-enabled systems using Node.js, TypeScript, and AWS. Architect microservices, REST APIs, and asynchronous messaging, implement TDD and CI/CD, deploy containerized solutions, integrate LLMs, collaborate with product and engineering teams, mentor engineers, and support regulated federal healthcare projects.

Remote internship supporting federal healthcare IT: design, code, test, and debug applications; collaborate with engineers; use AI-assisted tools, Git, APIs, JSON, Postman; follow Agile and DevSecOps practices; maintain documentation and participate in sprint planning and reviews.

Lead a team in delivering alerting, analytics, and reporting services for a healthcare platform, ensuring integration, troubleshooting, and support of complex workflows.