The goal of this team is reduce / minimize damage and the impact of damage for Data Center hardware. The role involves reviewing issues submitted by Data Center teams, triaging, and solving where possible.

Starting: ASAP

Salary: $41.90 - $46.56 per hour

Location: Council Bluff, IA (Hybrid)

Responsibilities:

This role is a support engineer position that will manage/triage a ticket queue of quality issues identified in a data center environment:

• Perform first level investigation of issues submitted to a quality team project queue to ensure proper information is submitted, gather needed information, perform initial analysis, and hand off to senior engineer (or resolve for simpler issues).
• Complete first level root cause analysis of data center issues and provide recommendations or proposed resolutions based on the investigation.
• Review fleet data to identify issues associated with deployment/production and then create bugs to hand off to the correct partner teams for resolution.
• Gather and analyze manufacturing/field data within the data center environment to extract actionable insights and continuous improvement opportunities.
• Monitor, review and present product performance data and metrics to stakeholders in a concise and clear way that enables data-driven decision making.
• Review, edit, improve, and create technical documentation (deployment guides, population documents, repairs guides) based on data, investigations, technician feedback, and quality fundamentals.

Experience:

• Bachelor's degree in Mechanical, Electrical, Industrial, Materials, or relevant engineering discipline or equivalent practical experience
• 5+ years of experience working in computing hardware quality, product engineering, test engineering, or electronic hardware systems issue resolution
• Experience in data analysis and visualization using SQL, JMP, or Python+
• People skills to work with and influence others
• Background in troubleshooting / repair of server / storage and networking products
• Knowledge of spreadsheets and databases
• Experience working in a hardware development (R&D) lab environment
• Experience working in a data center environment