Lead Application Engineer – PyAnsys, Python, Docker, Kubernetes, Github, Linux, AWS, Azure, Cloud

Summary / Role Purpose:

Join the Ansys Customer Excellence team to pioneer the future of engineering. As a Lead Application Engineer, partner with customers to tackle engineering challenges, seamlessly integrate Ansys software into their workflows and shape the Ansys product roadmap. Leverage advanced engineering expertise for technical pre-sales support, application design, and deployment across both on-premises and cloud platforms using modern containerization technologies. Your role also encompasses consulting on simulation-based solutions and mentoring upcoming engineers in the team.

Key Duties and Responsibilities:

• 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.

Minimum Education/Certification Requirements and Experience

• BS, MS, or PhD in Mechanical/Chemical/Aerospace/Electrical Engineering, Computer Science, Mathematics, or related fields with the following respective years of experience. BS+8, MS+6, or PhD+3
• 4 years of experience in application engineering, customer support, or consulting services-type customer-facing roles using engineering software
• Demonstrated use of Ansys software or familiarity with commercial CAE, CAD, EDA, PLM software packages, and containerization tools like Docker and Kubernetes.
• Solid understanding of DevOps methodologies and engineering practices.
• Proven track record in delivering exceptional outcomes and integrating software solutions within customer workflows.
• Logical problem-solving, strong mentoring capabilities, and excellent communication skills in English.

Preferred Qualifications and Skills 

• Advanced education and experience as previously detailed, combined with a familiarity in application engineering and customer support roles.
• Proven expertise with cloud platforms such as AWS, Azure, or Google Cloud Platform, alongside relevant certifications.
• Subject matter expertise in one or more disciplines within Ansys’ scope.
• Strong multitasking abilities in fast-paced environments, a sense of urgency, and professionalism.
• Ability to travel as required.