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Lead Application Engineer (PyAnsys, Python, Docker, Kubernetes, Github, Linux, AWS, Azure, Cloud) (13070)

  • Coordinate and execute technical activities during sales opportunities, including product presentations, demonstrations, and evaluations.
  • Design, develop, and deploy automation workflows, particularly using PyAnsys, and utilize containerization technologies like Docker and Kubernetes.
  • Implement, manage, and optimize CI/CD pipelines, ensuring streamlined testing and deployment of applications.
  • Interact with customers to understand their business initiatives, product design needs, and engineering design workflows; recommend appropriate Ansys solutions based on these insights.
  • Lead project teams to develop and integrate differentiating simulation solutions within customer design workflows.
  • Collaborate with the Ansys product development teams to refine the product roadmap, test new product releases, and develop best practices.
  • Provide technical support and training to end-users and junior team members around the software applications and containerization methodologies.
  • Mentor junior engineers, fostering their growth and expertise.
  • Document and detail technical guidelines for end-users and maintenance teams
  • Participate in corporate initiatives, support Ansys marketing endeavors, and author conference presentations.