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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Sr. Infrastructure Reliability Engineer, Infrastructure Reliability & Quality - **Company:** Amazon.com, Inc. - **Location:** Herndon, VA, United States - **Experience:** Expert - **Salary:** $136,600.0 - $184,800.0 - **Contract:** Permanent contract - **Skills:** Amazon Web Services, Data Centers, Networking Hardware, Reliability Engineering, Software Tools, Reliability of Systems, Data Analytics, AWS Data Analytics - **Published:** July 28, 2026 - **Apply:** https://www.amazon.jobs/en/jobs/10485461/sr-infrastructure-reliability-engineer-infrastructure-reliability-quality ## About the Role 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 - Bachelor's degree in Engineering or a related field - Knowledge of critical data center mechanical and electrical equipment - 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 researching new designs, technologies, and construction methods of data center equipment and facilities, Experience carrying design concepts through exploration, development, and into deployment or mass production - Experience reading, interpreting, and creating construction drawings, specifications, and submittal documents - Master's degree in Electrical, Electronics, Communications, Mechanical, Reliability or related Engineering discipline. ## 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 them to completion. As an Infrastructure Reliability Engineer you will be proactively driving the reliability risk identification, assessment and mitigation for datacenter infrastructure equipment (Example: Electrical and Mechanical Control and communication systems, Network equipment, Power and Cooling controls, MV Transformers, LV SWGR, Breakers, UPS, Chillers 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 within US and internationally. ## Related Videos - [The Sustainability Race: AI's Promises, Pitfalls and Potential](https://www.wearedevelopers.com/videos/100155-the-sustainability-race-ai-s-promises-pitfalls-and-potential) - [ Secure Code Superstars: Empowering Developers and Surpassing Security Challenges Together](https://www.wearedevelopers.com/videos/422-secure-code-superstars-empowering-developers-and-surpassing-security-challenges-together) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Reliable scalability: How Amazon.com scales on AWS](https://www.wearedevelopers.com/videos/983-reliable-scalability-how-amazon-com-scales-on-aws) - [Building the Nervous System of AI - Michael Kagan (NVIDIA)](https://www.wearedevelopers.com/videos/2133-building-the-nervous-system-of-ai-michael-kagan-nvidia) - [Leading with Reliability: Applying SRE Principles to Build Stronger Engineering Organizations](https://www.wearedevelopers.com/videos/100185-leading-with-reliability-applying-sre-principles-to-build-stronger-engineering-organizations) ## Related Articles - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer) - [The 12 Best Jobs for Software Engineers](https://www.wearedevelopers.com/magazine/401-the-12-best-jobs-for-software-engineers) - [Best US AI Conferences for CTOs in 2026: Build vs. Buy, Vendor Evaluation, and Peer Intelligence](https://www.wearedevelopers.com/magazine/736-best-us-ai-conferences-for-ctos-in-2026-build-vs-buy-vendor-evaluation-and-peer-intelligence)