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Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations

Amazon is hiring a Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations in Dublin, Ireland. Level rates it ; you can apply on Amazon.

Level's read on this job

  • On Level's scale, this role is Little AI ●○○○: aI is not part of the work.
  • The posting mentions AWS, Python and hardware testing among its tools and skills.
  • Level classes it as a senior role.
  • Amazon has 20,000+ other open roles on Level.

AI in this role

Manufacturing Test Engineer overseeing test ecosystems for AWS hardware, including AI accelerator platforms.

AWSPython
hardware-testingmanufacturing-operationsautomationquality-assurance
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.

We are seeking a Manufacturing Test Engineer to support final assembly and test (FA&T) operations for enterprise-class hardware products—including servers, storage systems, network equipment, and machine learning/AI accelerator platforms. This role is critical to ensuring world-class quality, throughput, and on-time delivery across our regional manufacturing network of production facilities. We work backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time.

We are seeking a Manufacturing Test Engineer to work in conjunction with internal partner Hardware Engineering and NPI Test teams to translate testing methodology and scripts into our operational manufacturing environment. This is a rare opportunity to shape manufacturing test strategy from the ground up, directly impacting the speed and quality at which AI infrastructure reaches customers.

We're looking for a Manufacturing Test Engineer who thrives at the intersection of hardware, software, and production operations. You'll own the end-to-end manufacturing test ecosystem — from early prototype builds through high-volume production and sustaining — across server (L10) and rack-level (L11/L12) integration. This role requires someone who doesn't just find problems but owns the fix, builds self-remedy capabilities, and relentlessly drives uptime and automation.

AWS Rack Manufacturing is a part of the broader AWS Infrastructure Services team which owns the design, planning, delivery, and operation of all AWS global infrastructure. We are the teams 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.

Come join our team and be a part of history as we deliver results for the largest cloud services company on Earth!

This role directly supports physical manufacturing environments across multiple locations with travel expected 25% of the time.


Key job responsibilities
- Own and Support the Test Ecosystem: Architect, develop, and maintain the manufacturing test infrastructure for AI server hardware products, spanning board-level validation through full rack integration and networking.

- Build and Scale Test Software: Design and maintain production test software and automation frameworks using Python, Bash, and related tooling, including test sequencing, equipment control, data collection, and reporting pipelines.

- Drive Automation & Self-Remedy: Develop automated test processes and self-healing capabilities that reduce manual intervention, increase throughput, and improve first-pass yield across the production line.

- Define Test Strategy: Establish modular test strategies, define pass/fail limits, and implement statistical process controls (GR&R, Cp/Cpk, correlation analysis) to ensure product quality at scale.

- Analyze Production Data: Compile and analyze test data using both automated reporting systems and exploratory analysis techniques to identify trends, root-cause failures, and drive corrective actions

- Own Uptime & Yield: Monitor functional test yield across shifts, lead triage efforts for test-station failures, and drive weekly production quality reviews with cross-functional partners.

- Collaborate Across Teams: Work closely with hardware design, firmware, process engineering, quality, and operations teams to ensure test requirements are aligned and products are designed for efficient, high-quality manufacturing.

- Guide Fixture & Infrastructure Design: Partner on test fixture design and procurement, ensuring alignment to cost, scalability, and schedule requirements; engage in RFQ processes for optimal end-to-end test solutions.

- Support New Product Introduction (NPI): Support partner teams in the development of test solutions for new product builds, from concept prototypes through production ramp, ensuring readiness at each phase gate.

- Sustain & Improve: Provide ongoing support for deployed test systems, implement configuration changes for new product variants, and maintain comprehensive documentation of test procedures, specifications, and infrastructure.

- Provide Feedback Upstream: Deliver actionable design-for-test (DFT) feedback to hardware and firmware development teams to improve testability and manufacturing efficiency for future platforms.

About the team
About AWS
Diverse Experiences
AWS values diverse experiences. Even if you do not meet all of the 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.

Inclusive Team Culture
AWS values curiosity and connection. Our employee-led and company-sponsored affinity groups promote inclusion and empower our people to take pride in what makes us unique. Our inclusion events foster stronger, more collaborative teams. Our continual innovation is fueled by the bold ideas, fresh perspectives, and passionate voices our teams bring to everything we do.

Mentorship & 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.

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.


Basic qualifications

- Bachelor's degree or above in computer science or equivalent
- Experience programming with at least one modern language such as C++, C#, Java, Python, Golang, PowerShell, Ruby
- 2+ years of non-internship professional software development experience
- 3+ years of designing or architecting (design patterns, reliability and scaling) of new and existing systems experience
- Knowledge of systems engineering fundamentals (networking, storage, operating systems), experience in networking, storage systems, operating systems and hands-on systems engineering experience

Preferred qualifications

- Experience with PowerShell (preferred), Python, Ruby, or Java
- Experience working in an Agile or Scrum environment
- Experience in large-scale data center network implementations and support
- - Experience in automating, deploying, and supporting large-scale infrastructure

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.

How we rate this

Sr. Manufacturing Test Engineer, AWS Rack Mfg Operations at Amazon rates 20 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.

Classification

Little AI. AI is not part of the work.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ 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

Hardware TestingManufacturing OperationsAutomationQuality AssuranceAWSPython

Questions you could be asked

  1. Tell me about a project where hardware testing was part of your work. What did you do?
  2. Tell me about a project where manufacturing operations was part of your work. What did you do?
  3. Tell me about a project where automation was part of your work. What did you do?
  4. Tell me about a project where quality assurance was part of your work. What did you do?
  5. Walk me through how you've used AWS in your day-to-day work.

Adapt your resume

  • List these exact terms on your resume: Hardware Testing, Manufacturing Operations, Automation, Quality Assurance, and AWS. 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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