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: You will support the team in full-stack web development efforts that connect 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.