Job summary

As a Software Engineer, you will work as part of a team responsible for debugging NetApp software products using functional tests to develop, apply, and maintain quality standards for NetApp products.  The team also develops, modifies, and executes software test plans; analyzes and writes test standards and procedures; maintains documentation of results, and works closely with development engineers in the resolution of problems.  As part of the Research and Development function, the overall focus of the group is on competitive market and customer requirements, technology advances, product quality, product cost and time-to-market.  This position requires an individual who is creative, team-oriented, a quick learner and driven to produce results.  

Essential functions

• As part of a team, the individual will be responsible for: 
  • Understanding test requirements and formulation of test cases  
  • Setting up the lab and configuring testbeds  
  • Developing, implementing, and executing test plans 
  • Contributing to test automation   
  • Collecting comprehensive and relevant data for problem investigation 
  • Writing test reports 
• Participate in technical discussions within the team or other groups within the Business Unit associated with specified projects. 
• Willing to work on additional tasks and responsibilities that will contribute toward the team, department, and company goals.    

Job requirements

Preferred Automation Skills: Python, Pytest, REST API and UI Automation 

• Possess good written and verbal communication skills 
• Work collaboratively within a team of other engineers and have strong influencing skills 
• Basic knowledge in software testing, test case writing, automated script development 
• Understanding of concepts related to computer architecture, data structures and standard programming practices. 
• Work with parent QA, & development team in product quality efforts as necessary 
• Strong automation skills with Python and Pytest 
• Basic knowledge in microservices/containerization via Docker, and Kubernetes is a plus 
• Familiarity with working within public cloud environments (e.g., AWS / GCP / Azure) 
• Basic knowledge of Storage Technologies (SAN, NAS, Object Store), virtualization and cloud technologies 
• Basic knowledge of Agile, CI/CD processes 
• Knowledge or experience in AI/ML (LLM), Workflow, Data Analytics. 
• Ability to work in changing environments and within a team. 

Education

We are seeking candidates with a Master’s degree in Computer Science, Computer Engineering, Electrical/Electronic Engineering, Information Systems or an equivalent degree with a minimum of 1 to 2 year experience.