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

IONOS Group; Madrid; Hybrid; EUR 65,000 - 90,000; Full time

Benefits offered by this job

Hybrid work model

Flexible working hours

Flexible compensation package

Discounts on Arsys products

Discounts on technology brands

Access to advanced AI tools

Job summary

IONOS Group in Madrid is seeking an execution-driven Backend Engineer to transform architectural specs into production-ready Node.js and C++ code. You will optimize a hybrid system, leverage AI tools, and collaborate with architecture roles to push performance and quality.

You will work in a fast-paced international team, with hybrid offices across Alcobendas, Valencia, Barcelona, Sevilla or Logroño, and a flexible compensation package.

Qualifications

• Strong Node.js development experience.
• Ability to read, understand, and debug C++ code.
• Experience in Linux environments.
• Familiarity with Docker, Make, and CMake.
• Experience with AI-assisted development tools.

Responsibilities

• Develop backend components in Node.js and high-performance integrations with C++.
• Translate technical specifications into functional solutions and accurately implement them.
• 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, high-performance solutions.
• Collaborate closely with architecture roles to continually improve the system.

Skills

Node.js

C++

Linux

Docker

CMake

AI tools

Performance tuning

English fluency

Tools

Make

CMake

Job description

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.

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