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

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 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