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Ai-driven software engineer (node.js & c++)

Logroño
IONOS Group
Publicada el 3 mayo
Descripción

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 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 and 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
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