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

Logroño
IONOS Group
Publicada el 3 mayo
Descripción

MissionAct 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

RequirementsTechnical

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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