• Design, develop, and deploy highly reliable and scalable software systems • Serve as a technical leader in the implementation of frameworks and best practices • Collaborate with engineering managers and teams • Drive engineering excellence through code reviews • Lead technical design and architectural discussions • Manage project tasks through an agile SDLC

• Own end-to-end development of Cyber Recon and adjacent products (backend systems, data pipelines, and user-facing applications) • Build intuitive, high-performance interfaces for exploring and acting on complex cyber data • Work directly with users in mission environments to understand needs, iterate quickly, and deploy into real environments • Design systems to ingest, normalize, and analyze large-scale external attack surface data • Translate ambiguous problems into concrete product and engineering decisions • Drive product and technical direction for Cyber • Deploy and support software in secure, constrained environments • Travel 2-3 times per month to customer sites (primarily East Coast)

About Scalepex Scalepex is a nearshore partner that empowers businesses to scale efficiently and effectively through exceptional services. With a strong focus on customer success, innovation, and cultural alignment, we support companies in building high-performing teams across industries. At Scalepex, we believe in fostering an environment where our people can thrive, grow their careers, and make a real impact. About the Role We are looking for a Full Stack Developer to join a high-impact team building a Partner Marketplace platform from the ground up. This is a hands-on full-stack engineering role. You will be embedded in a small, senior team, working across backend services, frontend applications, and cloud infrastructure. You will own real features end-to-end from API contracts to UI components to deployment pipelines and you will be expected to move fast without breaking things.

• Architect 3D object detection models, including multi-modal approaches (camera, LiDAR, Radar). • Build and maintain data collection and evaluation (metrics) pipeline. • Develop a proprietary multi-modal dataset for training and evaluation. • Train, deploy and monitor 2D/3D object detection models to production. • Experiment SOTA models’ performance. • Mentor junior engineers about best practices.