Sr. Software Engineer with Security Clearance

Overview The Software Engineer will work as part of an agile development team to design, develop, test, and maintain applications supporting customer requirements. The position requires strong full-stack development experience, solid understanding of modern development practices, and the ability to deliver reliable software in a fast-paced environment. What will you do? * • Develop full-stack applications using Angular, Spring Boot, and Java.
• Work as part of an agile development team and participate in sprint planning, standups, and reviews.
• Design, implement, and consume application programming interfaces (APIs).
• Build and maintain efficient, reusable, and reliable code.
• Identify bottlenecks, bugs, and performance issues, and implement solutions.
• Follow established coding standards and conduct peer reviews.
• Implement testing platforms and write unit tests.
• Apply accessibility standards in front-end development.
• Work within DevOps processes supporting CI/CD pipelines.
• Support microservices-based architectures and understand when to apply them.
• Use GitHub for version control and collaboration.
• Use Jenkins for build and deployment automation.
• Track work and progress using JIRA.
• Develop with AWS services including Lambda functions.
• Write and maintain scripts or components in Python.
• Work with container-based solutions such as Kubernetes. Do you have what it takes? Must possess an active TS/SCI clearance with Poly on day one of employment * • Strong full-stack development skills with Angular, Spring Boot, and Java. • Experience building and integrating APIs. • Hands-on experience with agile development practices. • Knowledge of DevOps, CI/CD pipelines, and automation processes. • Experience developing microservices. • Understanding of accessibility requirements and implementation methods. • Experience with test automation and unit testing frameworks. • Proficiency with GitHub and Jenkins. • Familiarity with JIRA for task and workflow management. • Experience with AWS services, including Lambda. • Proficiency in Python. • Experience working with Kubernetes or similar container platforms. • Bachelor's degree in Computer Science, or a related field.