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.
