Senior DevOps Engineer - Python Development Support (Remote/Hybrid)

 Requisition #: 15398 

 

Our Mission: Powering Innovation That Drives Human Advancement  

 

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys. 

 

Innovate With Ansys, Power Your Career.  

 

When visionary companies need to know how their world-changing ideas will perform, they close the gap between design and reality with Ansys simulation. For more than 50 years, Ansys software has enabled innovators across industries to push boundaries by using the predictive power of simulation. From sustainable transportation to advanced semiconductors, from satellite systems to life-saving medical devices, the next great leaps in human advancement will be powered by Ansys.

 

Summary / Role Purpose  

The Senior DevOps Engineer is responsible for the development of software products and supporting systems. In this role, the Senior DevOps Engineer will use advanced technical and problem-solving skills to design, develop, and deploy software applications for on-prem and cloud platforms using containerization technologies.  

 

Key Duties and Responsibilities 

• Participates in planning, architecture, and research around on-prem and cloud deployments. 
• Performs complex development activities that may require extensive analysis in areas including user experience, software design and solver research. 
• Collaborate with software engineering teams to design and create efficient, scalable, and maintainable containerized software solutions for on-prem and cloud deployments. 
• Support development teams with scripting and automation tasks, primarily using Python, to enhance development workflows and system integration.
• Implement cloud deployment strategies using Kubernetes based environments, ensuring high availability, scalability, and security of applications. 
• Monitor and troubleshoot cloud-based containerized applications, addressing performance issues and ensuring system stability. 

• Collaborate with DevOps teams to implement CI/CD pipelines and streamline software release cycles in on-prem and cloud environments with Kubernetes. 
• Works independently with minimal supervision and may take on some planning and mentoring responsibilities. 
• May be responsible for managing interns or co-ops but typically does not have direct reports. 

 

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 or command languages like Bash. 
• Commercial experience with Docker images creation and optimization.