NetApp Emerging Talent - Information Technology Roles

NetApp is a leader in intelligent data infrastructure, delivering innovative solutions to help organizations maximize their data potential. The IT Engineer role is designed for early-career individuals who will engage in planning, development, verification, and troubleshooting of systems, while collaborating with dynamic teams to tackle real-world challenges.

Responsibilities

• Own Every Moment at NetApp
• Participating in planning, development, verification, troubleshooting, and delivery of systems or major subsystems
• Work closely with a team that supports and enhances NetApp’s worldwide business processes and systems
• Work collaboratively with cross-functional and technical team members to support deadlines
• Work independently
• Strong aptitude for learning new technologies and understanding how to utilize these in a customer-facing environment
• Creative and analytical approach to problem-solving
• Project experience in data analysis, statistical modeling, and hypothesis testing
• Working knowledge of one or more statistical analysis tools or languages & related libraries/packages: R (preferred), Python (preferred), SPSS, SAS, etc
• Knowledge and application of concepts important in Machine Learning: e.g., cross-validation, regularization, bootstrapping, etc

Skills

• Excellent oral and written communication skills
• Experience with IT systems (applications, servers, networking, etc.) or IT practices (operations, change control, release management)
• Ability to work collaboratively with cross-functional and technical team members to support deadlines
• Ability to work independently
• Strong aptitude for learning new technologies and understanding how to utilize these in a customer-facing environment
• Multi-tasking and organizational skills
• Sense of urgency and determination to complete work
• Creative and analytical approach to problem-solving
• Project experience in data analysis, statistical modeling, and hypothesis testing
• Working knowledge of one or more statistical analysis tools or languages & related libraries/packages: R (preferred), Python (preferred), SPSS, SAS, etc
• Knowledge and application of concepts important in Machine Learning: e.g., cross-validation, regularization, bootstrapping, etc
• R (preferred)
• Python (preferred)

Benefits

• Health Insurance
• Life Insurance
• Retirement or Pension Plans
• Paid Time Off (PTO)
• Various Leave options
• Performance-Based Incentives
• Employee stock purchase plan
• Restricted stocks (RSU’s)

Company Overview

Company H1B Sponsorship