Amazon Data Services, Inc.
Technology
HardwareReliabilityEngineer,InfrastructureReliability&Quality
Neural analysis suggests this role is
optimal for Mid+ candidates.
“Hardware Reliability Engineer, Infrastructure Reliability & Quality at Amazon Data Services, Inc.. Skills: Reliability Engineering, Risk assessment, Root cause analysis. Drive reliability risk identification. Drive reliability assessment”
What You'll Achieve.
Improve datacenter availability; Improve datacenter security
Industry & Context.
Root cause analysis; Troubleshooting; Problem solving
Travel within US, International travel
What They're Looking For.
Must Have
2+ years of root cause analysis, Bachelor's or Master's degree, 4+ years of Reliability Engineering work experience, 2+ years experience with accelerated life testing, 2+ years experience with stress analysis, 2+ years experience with finite element analysis
Nice to Have
Experience in data center engineering, 7+ years of work experience in reliability risk identification, 7+ years of work experience in reliability risk assessment, Experience with proactive reliability approaches, Experience with effective reliability approaches, Proven experience in working with external design partners, Proven experience in working with manufacturing supply chain partners, Excellent verbal communication skills, Excellent written communication skills
What You'll Do.
Drive reliability risk identification
Drive reliability assessment
Drive reliability mitigation
Perform root cause analysis
Drive continuous improvements
Improve datacenter availability
Improve datacenter security
Drive product specification
Drive risk identification plan
Develop analytical approaches
Develop empirical approaches
Implement analytical approaches
Implement empirical approaches
Carry out lifecycle environmental analysis
Carry out operational stress analysis
Identify overstress weaknesses
Identify fatigue-related weaknesses
Evaluate product design risks
Evaluate product reliability risks
Assess manufacture process issues
Drive critical component identification
Establish critical to quality metrics
Establish critical to reliability metrics
Develop datacenter system level reliability model
Perform reliability quantification
Perform risk analysis
Monitor product performance
Drive root cause analysis
Drive corrective actions
Drive preventive actions
Drive vendor auditing
Drive quarterly review process
How You'll Work.
Team & Collaboration
Internal partners; Outside partners; Suppliers; Cross-functional teams
Communication Scope
Verbal communication; Written communication
Process & Methodology
Program management
Full Job Description
AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own As an Infrastructure Reliability Engineer you will be proactively driving the reliability risk identification, assessment and mitigation for datacenter infrastructure & Security equipment (Example: Air Handling Units, LV Generator, Liquid Cooling, Power Gen, Chillers etc.). You will also be responsible for root cause analysis of critical equipment failures and drive the continuous improvements to improve datacenter availability & security 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 i
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