VetsEZ

HQ
San Diego
144 Total Employees
Year Founded: 2012

Teams at VetsEZ

Recently posted jobs

2 Days AgoSaved
In-Office or Remote
Atlanta, GA, USA
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Develop and maintain secure, scalable backend services, RESTful APIs, data access layers, and enterprise integrations for mission-critical healthcare applications. Collaborate with architecture, frontend, QA, DevSecOps, and product teams in an Agile environment. Responsibilities include technical design, coding, reviews, troubleshooting, performance optimization, monitoring, release activities, and production support. The role requires Java, Spring Boot, SQL, secure coding, CI/CD, and enterprise application development experience.
5 Days AgoSaved
In-Office or Remote
Washington, DC, USA
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Leads technical solutioning and proposal development for federal healthcare opportunities supporting DHA, VA, and military health customers. Develops technical approaches, staffing plans, executive summaries, and compliant proposal narratives. Translates cloud, DevSecOps, interoperability, and healthcare IT concepts into evaluator-friendly content. Collaborates with capture, business development, proposal, engineering, clinical IT, security, and operations teams. Supports solicitation analysis, win strategies, technical graphics, color-team reviews, and timely federal submissions.
17 Days AgoSaved
In-Office or Remote
Dallas, TX, USA
Artificial Intelligence • Cloud • Information Technology • Machine Learning
Performs data-quality checks, migration validation, SQL-based reconciliation, discrepancy investigation, and root-cause analysis across large VA healthcare datasets. Supports DMM tools, cutover and go-live activities, reporting, application monitoring, access administration, documentation, and stakeholder meetings. Collaborates with VA, Oracle Health, InterSystems IRIS, engineering, and subject-matter teams to resolve migration issues and implement new data-quality capabilities.