Amazon Amazon Technologies Systems Engineer Reliability 

United Kingdom, England, London 

348021434

Key job responsibilities
Primary responsibilities:
- Utilize data analytics, root cause analysis, design of experiments and six sigma methods to improve reliability and availability of critical automation equipment and robotics & mechatronics systems. -- Lead Kaizen and process improvement events, including Failure Modes and Effects Analyses (FMEA) to reduce downtime, eliminate errors and defects, and optimize overall equipment performance.- Design, pilot and implement new preventative maintenance standards, interval adjustments, part replacement cycles, and work instruction streamlining based on granular analysis of reliability (MTBF, MTTR, OEE, etc.) trends across assets.
- Develop automated reporting through advanced SQL and Quicksight to provide RME leadership with actionable insights, trends and analysis around equipment uptime, failures, SLA performance, and other key metrics.- This role will require the ability to travel up to 50%.London, GBR

- Bachelor’s degree in Engineering, Computer Science or related technical discipline
- 3+ years’ experience in reliability engineering, manufacturing engineering, lifecycle engineering or related role, with demonstrated specialization in robotics and mechatronics.
- Lean Six Sigma experience required. Demonstrated success leading Kaizen events
- Experience coding in Python, SQL, or R for purposes of data extraction, organization, visualization and statistical analysis.

- 2+ years’ experience in Robotics and Mechatronics maintenance.
- Technical understanding of: robotics system components/controls, HMI components, control network components, motion control, and standard electrical components
- Understanding of: 480V 3-phase, 110 VAC, and 24VDC systems
- Ability to interpret, modify, and develop drawings both mechanical and electrical
- Ability to identify, maintain, and utilize SCADA systems and KPI's
- Understand and critically evaluate technical systems end-to-end for strengths, weaknesses, impacts and improvements
- Robust troubleshooting and data analytical skills
- Ability to influence others in a technical role and interact with all levels of management
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