Amazon Data Services, Inc.
Data Centers
Sr.InfrastructureReliabilityEngineer,InfrastructureReliability&Quality
Neural analysis suggests this role is
optimal for Senior candidates.
“Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality at Amazon Data Services, Inc.. Skills: Infrastructure Reliability, Root Cause Analysis, Risk Assessment, System Reliability Modeling. Drive reliability risk identification. Drive reliability risk assessment”
What You'll Achieve.
Improve datacenter availability
Industry & Context.
Problem analysis; Problem solving; Root cause analysis; Troubleshooting
Travel within US and internationally
What They're Looking For.
Must Have
10+ years Reliability Engineering, 5+ years root cause analysis, Experience using Physics-of-Failure based approach, Experience with analytical and empirical approaches, Experience with lifecycle environmental and operational stress driven risk analysis, Experience evaluating product design quality/reliability risks, Experience assessing electronics manufacture process related quality/reliability issues, Knowledge of statistical techniques and models, Experience with process capability for electronic component production, Experience establishing critical to quality and reliability metrics, Experience developing datacenter system level reliability model, Experience with reliability block diagram, Experience with statistical modeling, Experience with data analytics, Experience monitoring product performance in field, Experience driving corrective and preventive actions, Experience driving vendor auditing, Experience driving quarterly review process, Proven track record in product reliability leadership, Proven track record in business negotiations, Proven track record in program management, Skill-set in problem analysis and solving, Skill-set in vendor management, Ability to travel within US and internationally
Nice to Have
Professional Engineering or Architectural License, Knowledge of building codes and regulations, Experience carrying design concepts through exploration, development, and into deployment or mass production, Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents, Bachelor's degree in Electrical or Mechanical Engineering, Engineering Technology, Reliability Engineering, or 10+ years of managing, analyzing and communicating results to senior leadership experience, Master's or Ph. D. in Reliability Engineering, Physics, Electrical, Mechanical or Materials Engineering or a related field, Experience with proactive and effective reliability approaches in a cost-effective manner throughout product design, manufacture and deployment stages, Proven experience in working with external design and manufacturing supply chain partners, Familiarity with major data center infrastructure equipment reliability performance, Ability in managing multiple qualification activities and development schedules
What You'll Do.
Drive reliability risk identification
Drive reliability risk assessment
Drive reliability risk mitigation
Perform root cause analysis of critical equipment failures
Drive continuous improvements to improve datacenter availability
Work closely with internal and outside partners
Drive key aspects of product specification
Drive risk identification plan and execution
Develop and implement analytical approaches
Develop and implement empirical approaches
Carry out lifecycle environmental stress driven risk analysis
Carry out lifecycle operational stress driven risk analysis
Identify overstress and fatigue-related product weaknesses
Evaluate product design quality/reliability risks
Assess electronics manufacture process related quality/reliability issues
Drive critical component identification
Establish critical to quality and reliability metrics
Develop datacenter system level reliability model
Perform related reliability quantification
Perform related risk analysis
Monitor product performance in the field
Drive root cause analysis of critical failures
Drive associated corrective actions
Drive associated preventive actions
Drive effective vendor auditing
Drive quarterly review process
Drive continuous improvements of datacenter availability
How You'll Work.
Team & Collaboration
Work with suppliers; Open collaborative environment; Work with internal partners; Work with outside partners; Collaborate with people across AWS
Communication Scope
Communicate results to senior leadership
Process & Methodology
Program management
Full Job Description
As an Infrastructure Reliability Engineer you will be proactively driving the reliability risk identification, assessment and mitigation for datacenter infrastructure equipment (Example: LV Generator, MV Transformers, LV SWGR, Breakers, UPS, HV Transformers). You will also be responsible for root cause analysis of critical equipment failures and drive the continuous improvements to improve datacenter availability for AWS customers. You will work closely with both internal and outside partners including suppliers to drive key aspects of product specification, risk identification plan and execution. You must be ownership minded, independent, action and results oriented to succeed in an open collaborative environment. The candidate should have experience in using Physics-of-Failure based approach to develop and implement both analytical and empirical approaches for product quality/reliability risk identification and assessment during product design, manufacture as well as deployment stages. The individual should be able to drive AWS application-specific requirements in carrying out both lifecycle environmental and operational stress driven risk analysis, including thermal, electrical, chemical and mechanical stresses so to identify overstress and fatigue-related product weaknesses. Candidate should be capable of evaluating not only product design quality/reliability risks, but also have the skills and experiences in assessing electronics manufacture process related quality/reliability issues. Knowledge of statistical techniques and models is required to analyze test as well as field data. At the component level, the individual will drive critical component identification and the associated vendor selection and qualification requirements. The candidate will be expected to use knowledge of process capability for electronic component production as well as system-level performance requirements to establish critical to quality and reliability metrics. At the system level, t
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