Senior Datacenter Reliability Engineer, Infrastructure Quality

Amazon Inc.; Herndon (VA); On-site; USD 137,000 - 185,000; Full time

Benefits offered by this job

Health insurance

RSUs

Sign-on payments

Job summary

Amazon Data Services, Inc. is seeking a Senior Infrastructure Reliability Engineer to proactively identify, assess, and mitigate reliability risks for datacenter infrastructure equipment across AWS facilities.

You will drive root-cause analysis of critical failures and lead improvements to datacenter availability in collaboration with suppliers and internal teams. The role requires deep knowledge of mechanical and electrical equipment, systems reliability modeling and data analytics, plus

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
• Experience researching new designs, technologies, and construction methods of data center equipment and facilities

Responsibilities

• Drive reliability risk identification, assessment and mitigation for datacenter infrastructure equipment
• Perform root cause analysis of critical equipment failures and drive improvements to datacenter availability
• Coordinate vendor auditing and quarterly reviews to advance continuous improvements of datacenter reliability
• Develop and maintain datacenter reliability models and related risk analyses

Skills

Data center expertise

Problem solving

Education

Bachelor's degree in Engineering or related field

Job description

Amazon Data Services, Inc. is seeking a Senior Infrastructure Reliability Engineer to proactively identify, assess, and mitigate reliability risks for datacenter infrastructure equipment across AWS facilities.

You will drive root-cause analysis of critical failures and lead improvements to datacenter availability in collaboration with suppliers and internal teams. The role requires deep knowledge of mechanical and electrical equipment, systems reliability modeling and data analytics, plus