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Ford Motor Company

Software Engineer

Posted 4 Hours Ago
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Remote or Hybrid
2 Locations
Senior level
Remote or Hybrid
2 Locations
Senior level
Design, develop, and lead microservices-based PaaS solutions leveraging semantic technologies. Implement system integrations, optimize performance, enforce security and compliance, mentor developers, collaborate with cross-functional teams, and stay current with cloud, PLM (3DX/Enovia) and related technologies.
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As a Technical Specialist, you will be responsible for designing, developing, and implementing microservices-based applications and platform-as-a-service solutions that leverage semantic technologies.

Responsibilities
  • Design, develop, and implement microservices-based applications and platform-as-a-service solutions that leverage semantic technologies.
  • System Integration - Design and implement integration points between different systems and ensure that the data flows smoothly between them.
  • Identify and address performance bottlenecks, optimize code, and implement best practices to ensure that solution meets the performance requirements.
  • Lead the Team and design of microservices-based systems that use semantic technologies.
  • Collaborate with cross-functional teams to identify and prioritize technical requirements and deliverables.
  • Mentor developers, provide guidance on technical issues, and ensure that the team adheres to best practices and standards.
  • Implement security measures such as access controls, data encryption, and data backups, and ensure that Platform as a Service adheres to compliance requirements.
  • Stay up to date with emerging trends and technologies in software engineering, microservices architecture, semantic technologies, and cloud computing.
  • Stay up to date with emerging trends and technologies in PLM technologies (3DX/Ennovia with MQL & Webservices APIs).
Qualifications
  • Bachelor's degree in Computer Science or a related field.
  • 5+ years of experience in software development, with a focus on microservices architecture, semantic technologies, and cloud computing.
  • Expertise in modern software engineering practices, including Agile development, DevOps, and continuous integration/continuous delivery (CI/CD).
  • Strong knowledge of microservices architecture, RESTful APIs, and containerization technologies (Docker, Kubernetes, etc.).
  • Exposure with cloud platforms such as AWS, Google Cloud Platform.
  • Subtle understanding of semantic technologies, their representation, and their application in software development.
  • Ability to write clean, efficient, and maintainable code in languages such as Java, Python, or Node.js.
  • Excellent problem-solving and analytical skills.
  • Strong communication and collaboration skills.

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