• Design, develop, and optimize high-performance embedded software for networked EW applications. • Architect and maintain modern CI/CD pipelines to automate testing, integration, and deployment. • Collaborate with hardware, RF, and systems engineers to integrate software with complex RF subsystems. • Act as a key technical liaison for multi-organizational projects, coordinating API definitions and integration strategies. • Translate signal processing and networking algorithms into efficient, real-time C/C++ code. • Lead code reviews, enforce coding standards, and mentor junior engineers in best practices.

• Design, build, and maintain backend and frontend components using .NET Core (C#) and Angular • Implement features in alignment with architectural guidance, coding standards, and best practices • Write readable, testable, and well-documented code that meets quality and performance expectations • Work closely with Tech Leads, Architects, and other engineers to deliver features and enhancements • Participate fully in Agile ceremonies including planning, estimation, standups, reviews, and retrospectives • Review requirements and functional specifications, identifying issues or gaps early • Design and modify database schemas and objects, including tables, indexes, constraints, stored procedures, and views, with an emphasis on MySQL • Build and consume APIs using REST, HTTP, JSON, and XML • Write unit tests and contribute to automated testing practices • Produce and maintain technical documentation to support knowledge sharing and maintainability • Assist with diagnosing and resolving production issues with guidance from senior engineers

• Design and implement scalable serverless functions (Node.js/TypeScript) • Support and extend existing PHP/Laravel services • Drive the adoption of PrimeVue design system • Lead code reviews and champion "Definition of Done" standards • Partner with Architecture, Product Owners, and Designers

• Ship full-stack AI projects end-to-end on a product built in Ruby on Rails backend and React frontend. • Design and run experiments (including A/B tests, AI evaluations, or others) to validate AI features, measure impact, and guide iteration. • Build and integrate components for AI infrastructure and optimize them for performance and reliability to support production-level inferencing. • Improve processes, tools, and systems to scale AI features into production-ready solutions. • Help us stay up-to-date with the cutting-edge AI research, techniques, and tools. • Work closely with Circle's leaders and designers throughout the feature design process. • Foster a bias for action by prioritizing speed of iteration, experimentation, and learning, while maintaining high standards of code quality and user experience.