AI-Driven Software Engineer (Node.js & C++)

Mission

Act as the execution engine of the team, transforming architectural specifications into robust, efficient, and production-ready code. You will work on building and optimizing a hybrid Node.js–C++ system, leveraging AI tools as a key accelerator to maximize development speed without compromising quality.

Responsibilities:

• Develop backend components in Node.js and high-performance integrations with C++


• Translate technical specifications into functional solutions and accurately


• Use AI tools to accelerate development, validation, and code improvement


• Apply test-driven approaches to ensure robustness and stability


• Manage and optimize build environments (Docker, Make, CMake)


• Analyze system performance and identify bottlenecks, especially in Node.js ↔ C++ interactions


• Refactor legacy code into clean, maintainable, and high-performance solutions


• Collaborate closely with architecture roles to continuously improve the system

Requirements

Technical:

• Strong experience with Node.js development


• Ability to read, understand, and debug C++ code


• Experience working in Linux environments


• Familiarity with build tools and containers (Docker, Make, CMake)

AI & Development:

• Hands-on experience with AI-assisted development tools (e.g., Cursor, Claude, or similar)


• Ability to use AI as a productivity multiplier in software development


• Experience with iterative development, testing, and validation workflows

Profile:

• Strong English communication skills, as you will be working in an international team


• Execution-driven mindset with strong focus on quality and results


• Comfortable working in fast-paced environments


• Strong interest in performance optimization and continuous improvement

What We Offer:

• Hybrid work model (in any of our offices in Alcobendas, Valencia, Barcelona, Sevilla, or Logroño)


• Flexible working hours


• Flexible compensation package


• Discounts on Arsys products


• Discounts on technology brands


• Challenging technical environment with real high-performance system problems


• Access to advanced AI tools with no usage restrictions


• Close collaboration with senior profiles and a strong culture of continuous improvement


• Personalized training and development plans


• Biannual team events