IONOS Group
Linkedin · Posted 2mo ago
AI-Driven Software Engineer (Node.js & C++)
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Indexed description
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 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
- 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)
- 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
- 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
- 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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