Expert Engineer for System Optimization

il y a 4 jours


Paris Louvre, Île-de-France Airswift Temps plein

Job Summary

Airswift is seeking a highly skilled System Performance Expert Engineer to join our team. As a key member of our organization, you will be responsible for designing and developing system architectures for Air Traffic Management (ATM) solutions that meet client needs.

Key Responsibilities:

  • Translate client requirements into effective architectural solutions, ensuring performance, cybersecurity, safety, and maintainability.
  • Balance specific client requirements with product policies to ensure reusability, maintainability, and scalability of solutions.
  • Define, implement, and promote best practices in system architecture.
  • Contribute to the overall product strategy and support digital transformation efforts in the ATM domain.
  • Encourage innovation and the adoption of new technologies to enhance system capabilities.

Requirements:

  • Bachelor's degree (Bac +5) in Computer Science, Engineering, or a related field.
  • Demonstrated experience in system engineering, system architecture, or software architecture.
  • Strong proficiency in system and software-centric architecture design.
  • Familiarity with web technologies, including Linux, virtualization, middleware, and backend/frontend applications (C, C++, Java, etc.).
  • Experience using system modelling tools (e.g., SYSML, Capella).
  • Understanding of performance, cybersecurity, IT, and network issues.
  • Experience with Cloud Native technologies (microservices, containerization, PaaS solutions, DevOps) is a plus.

Nice to Have Skills:

  • Curious and proactive, with a strong ability to propose innovative solutions and find effective compromises.
  • Skilled in managing complexity, combining a broad perspective with detailed problem-solving capabilities.
  • Excellent interpersonal skills and the ability to communicate complex topics clearly to clients.
  • Collaborative and team-oriented, committed to continuous improvement and experimentation.

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