Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality
Amazon is hiring a Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality in Dublin, Ireland. Level rates it ; you can apply on Amazon.
Level's read on this job
- Level rates this role Little AI ●○○○: aI is not part of the work.
- Tools and skills the posting cites include reliability engineering, root cause analysis and physics of failure.
- Level classifies it as a senior role.
- Level lists 20,000+ other open roles at Amazon.
AI in this role
Drive infrastructure reliability, risk assessment, and failure analysis for AWS global data centers.
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 them to completion.
As a Senior Infrastructure Reliability Engineer you will be proactively driving the reliability risk identification, assessment and mitigation for datacenter infrastructure equipment (Example: Busduct, Tapoff Box, MV Transformers, LV SWGR, Breakers, UPS, Power Distribution Cabinets etc.). 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, the individual will develop datacenter system level reliability model and related reliability quantification and risk analysis for datacenter configuration optimization. The candidate will be expected to be familiar with system reliability engineering tools, such as reliability block diagram, statistical modeling and data analytics.
During sustaining stage, candidate will be responsible for monitoring product performance in the field and will be responsible to drive root cause analysis of any critical failures and the associated corrective and preventive actions. The individual should also be able to drive effective vendor auditing and quarterly review process to drive the continuous improvements of datacenter availability.
The successful candidate should be considered as an expert in the reliability engineering field and have a proven track record of success in not only product reliability leadership, as well as business negotiations and program management. Strong skill-set in problem analysis and solving as well as communication and vendor management are necessary. Candidates should also be able to travel internationally.
About the team
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Why AWS
Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.
Diverse Experiences
Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying.
Work/Life Balance
We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud.
Inclusive Team Culture
Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.
Mentorship and Career Growth
We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.
Basic qualifications
- 6+ years of data center design, construction, operations, or facility maintenance experience
- 6+ years of industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities experience
- Knowledge of critical data center mechanical and electrical equipment
- Bachelor's degree in Engineering or a related field
- Experience in industrial or commercial engineering in mission critical facilities including but not limited to: data centers, power generation or oil and gas facilities
- Experience directly related to the design or construction of data centers
Preferred qualifications
- Experience carrying design concepts through exploration, development, and into deployment or mass production
- Experience reading and interpreting construction drawings and specifications, or experience reading and writing procedures, technical documents, and engineering drawings
- Master's degree or above in Electrical Engineering, Mechanical Engineering, Technology, or Reliability Engineering
Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice (https://www.amazon.jobs/en/privacy_page) to know more about how we collect, use and transfer the personal data of our candidates.
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.
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How we rate this
Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality at Amazon rates 0 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Questions you could be asked
- Tell me about a project where reliability engineering was part of your work. What did you do?
- Tell me about a project where root cause analysis was part of your work. What did you do?
- Tell me about a project where physics of failure was part of your work. What did you do?
- Tell me about a project where datacenter infrastructure was part of your work. What did you do?
Adapt your resume
- List these exact terms on your resume: Reliability Engineering, Root Cause Analysis, Physics Of Failure, and Datacenter Infrastructure. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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