Senior Software Engineer – Front End UI/UX Developer
CACI International IncAbout the role
The Opportunity:
CACI is seeking a Senior Software Engineer – Front End UI/UX Developer to join our team of technical experts supporting the U.S. Department of Homeland Security (DHS) Headquarters, Chief Technology Officer Directorate (CTOD), Artificial Intelligence and Emerging Technology (AI/ET) initiative. This team works with a federal workforce staff of technical experts for high-visibility, department-wide AI initiatives.
The ideal candidate will have current experience and excel at developing exceptional user interfaces for modern web and AI applications as part of a technically diverse and geographically disbursed team. Significant professional Front-End development experience with deep expertise in React along with strong CSS skills is a must. Competitive candidates will have substantial experience in working in agile, collaborative engineering teams using modern engineering tools.
This is a remote work eligible position.
Responsibilities:
Responsibilities include, but are not limited to:
- Develop and maintain user interfaces for web applications.
- Developing, testing, and maintaining custom Front-End applications using React.
- Implementing UI components with a strong focus on usability and accessibility utilizing design systems such as USWDS and Fluent AI.
- Collaborating and working effectively with a cross-functional team of designers, engineers, and functional resources.
- Following team development practices and workflows in a modern CI/CD engineering environment.
- Collaborating with data scientists and AI researchers to create new user interfaces and functionality for AI applications.
- Ensure the technical feasibility of UI/UX designs.
- Optimize applications for maximum speed and scalability.
- Conduct code reviews and maintain code quality standards.
- Participating as part of an agile team and following agile delivery processes from sprint planning to standups to retrospectives.
- Staying current with the latest advancements in AI technologies, tools, and best practices.
Qualifications:
Required:
- Ability to obtain DoD Security Clearance.
- Ability to obtain Department of Homeland Security (DHS) Entry On Duty (EOD) - Active EOD preferred.
- BA/BS in Computer Science or related field and 10 years’ relevant experience. Experience may be substituted for education.
- Minimum of 5 years of active and current experience in web application development
- Strong individual contributor with continuous, hands-on coding experience, spending approximately 80% of their time writing code
- Deep expertise as a Front-End developer using React.js to build compelling user interfaces for web applications.
- Proficient in React and TypeScript.
Desired:
- Experience with a dynamic language/platform (e.g., Python, Node.js, Ruby, PHP) is a plus, especially if it involves backend or full-stack development.
- Familiarity with multiple additional software developer languages including, but not limited to: JavaScript, etc.
- Experience in applying design systems such as USWDS and Fluent UI.
- Experience in developing user interfaces for accessibility (including 508 requirements) and usability.
- Strong experience developing within VSCode for development and workflows and using GitLab to manage source control with GitLab pipelines.
- Ability to work with cloud services and platforms (Azure or AWS) with a preference for working knowledge of Azure development and AI hosting infrastructure.
- Ability to work with Data Scientist teams to develop user interfaces for AI/ML, Big Data, or BI web applications.
- Ability to work independently on a complex task with little direction and management oversight.
- Experience working with Python desirable for working with Full-Stack engineers on development and scripting.
- Experience developing web applications that use Azure services to support AI solutions such as Azure OpenAI.
- Experience with Docker and building and deploying applications in Kubernetes containers.
- Experience and knowledge of AI/ML deployments on Azure.
- Familiarity with other front-end tools or Python frameworks.
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