Senior Application Engineer

Key Duties and Responsibilities:

• Workflow Development and Deployment: Responsible for designing, developing, and deploying automation workflows using PyAnsys.
• Containerization: Work with technologies such as Docker and Kubernetes to containerize applications. This includes creating Dockerfiles, managing Docker images, creating Kubernetes deployments, managing clusters, etc.
• Continuous Integration and Continuous Deployment (CI/CD): Implement, manage, and optimize CI/CD pipelines to automate testing and deployment of applications.
• Documentation: Create detailed technical documentation and guidelines to guide the end-users and to help with the maintenance.
• Technical Support and Training: Provide technical support and training to both end-users and junior team members around containerized applications, as necessary.

Minimum Education/Certification Requirements and Experience

• BS in Computer Science, Engineering, Mathematics or Quantitative Sciences with at least 5 years of commercial experience in software development using object-oriented languages like Python. 
• Commercial experience with Docker images creation and optimization. 
• Experience deploying and managing containerized applications in on-prem and/or cloud environments using Kubernetes. 
• Solid understanding of DevOps methodologies.

Preferred Qualifications and Skills 

• Excellent technical knowledge and commercial experience with cloud platforms such as AWS, Azure, or Google Cloud Platform.
• Strong problem-solving skills and the ability to troubleshoot complex issues in cloud environments.
• Certifications in relevant cloud technologies such as AWS Certified Developer, Azure Developer Associate, or Google Cloud Certified.
• Proven experience with Ansys software and PyAnsys.
• Ability to multitask and manage multiple tasks in a fast-paced environment.
• Excellent verbal and written English communication skills.
• Ability to travel as required.