Software Engineer (Full Stack Focus; SWE2) [D.26.0092]

Requires Top Secret/SCI with Full Scope Poly Salary Range: $176k-$192k per year with an additional $44k-$48k in immediately vested company 401(k) contributions Description Join a team that is leading the charge on media capabilities in the IC. You will support the team in full-stack web development efforts that connects the team’s capabilities with their customers. This role offers hands-on experience developing solutions within the state-of-the-art AI/ML landscape. On this small team, you will manage products through their entire lifecycle—from initial ideation to full production—and take full ownership of their success. Responsibilities Builds and maintains full stack applications in collaboration with business leaders and AI/ML engineers providing custom media operations. Partners with AI/ML engineers, senior stakeholders, and business users to thoroughly understand complex operational challenges and translate those needs into robust, technical solutions. Rapidly prototypes and pilots complex, cutting-edge capabilities to meet customers’ ever-evolving needs. Optimizes system usability and workflow efficiency by collaborating with end-users to define and refine ideal user interaction path that reduce mission operation friction. Cultivates an understanding of latest technological developments in the AI/ML landscape and seeks opportunities to operationalize them. Skills Requirements Proven ability to take a project from initial concept/scoping through iterative development, rigorous testing, and final deployment. Highly self-directed, with experience decomposing work into features and actions, with minimal oversight. Experience conducting direct user research, iterating on new capabilities based on user feedback, and solving real-world operational pain points. Extensive experience building applications in JavaScript including node.js, TypeScript, and UI frameworks/libraries such as React and Material UI. Experience with Linux, especially Ubuntu and Amazon Linux. Experience with Docker. Working knowledge of NoSQL databases, specifically MongoDB. Experience managing CI/CD build pipelines within GitLab. Nice to Haves Experience with Java/Spring Boot and Python/Flask. AWS Certified CloudOps Engineer, or general experience with managing software infrastructure in AWS. Certified Kubernetes Application Developer, or general experience with managing an application running on Kubernetes. Experience with multimedia and 3D modeling tools such Cinema4D, Blender, Unreal Engine, Gimp, Adobe Photoshop, Adobe Illustrator, etc. Basic literacy in AI and knowledge of ML process. Experience using code-assist tools such as OpenCode, Copilot, etc. YOE Requirement 8 yrs., B.S. in a technical discipline or 4 additional yrs. in place of B.S. #J-18808-Ljbffr