Develop and modify ASP.NET web components to support modernization work within the ATRRS web tier. Implement service integration updates and collaborate with QA staff for testing and defect remediation.
Halvik
15 Remote Job Openings at Halvik
The role involves implementing assigned web development tasks and assisting with defect resolution and testing. Additionally, the developer will participate in documentation and learn the ATRRS system architecture.
Develop and implement AI/ML solutions to solve complex business problems and enhance operational efficiency. Collaborate with cross-functional teams to design, deploy, and monitor intelligent systems while ensuring adherence to responsible AI practices.
The Senior Technical Manager will provide technical and architectural leadership for the web and service integration aspects of ATRRS modernization, ensuring seamless interaction between modernized Java/Spring Boot services and the existing .NET-based web interface. Key duties include leading technical design for service integration, defining API contracts, and providing technical oversight and mentorship to developers.
The DevSecOps Lead is responsible for architecting, securing, and operating GitLab Enterprise pipelines within the Army's ECMA cloud environment to ensure deterministic, repeatable, and auditable build and deployment workflows. Key duties involve designing CI/CD pipelines for containerized applications, managing EC2 runners and ECS deployments, and enforcing compliance controls across all delivery processes.
This role involves hands-on development and integration of ATRRS web components, focusing on enhancing the .NET web interface to consume modernized Java services while maintaining existing user workflows and mission functionality.
The role involves leading the development and implementation of project management templates to establish a PMO for the USPTO, focusing on streamlining processes and enhancing efficiency. Responsibilities also include collaborating with product owners, maintaining high sprint completion rates, and implementing data-driven reporting using Power BI to track key PMO KPIs.
The Cloud Engineer will manage AWS infrastructure across multiple accounts, maintain Lambda functions, and implement security services. They will also monitor operational issues and handle VPC networking configurations.
The Senior Systems Engineer is responsible for supporting the operational stability and readiness of the ATRRS environment during integration and testing phases. Key tasks include monitoring system performance, troubleshooting issues, and coordinating environment usage across teams.
The role involves implementing assigned web development tasks under supervision and assisting with defect resolution and testing support. Additionally, the candidate will participate in documentation and knowledge-sharing activities.
The Business Analyst will design comprehensive test coverage to ensure that modernization efforts do not alter mission outcomes. Key responsibilities include translating business workflows into test scenarios and maintaining traceability between requirements and tests.
The QA Analyst – Integration is responsible for developing and executing integration test plans and ensuring end-to-end quality across the ATRRS system. This includes validating interactions between Java-based backend services and the .NET web interface.
QA Automation Engineers are responsible for building and executing automated and manual tests to validate the modernized ATRRS system. Key tasks include developing Selenium-based UI automation and performing full regression testing cycles.
The role involves interpreting legacy COBOL, JCL, and batch logic, as well as validating the functional behavior of converted Java code. Additionally, the developer will assist with defect analysis and advise teams on historical system nuances.
The role involves developing and implementing AI/ML solutions to enhance business operations and solve complex problems. It requires collaboration with cross-functional teams to design, develop, and deploy AI models for data-driven decision making.
