Amazon
Principal Tech Ops Engineer, AWS Rack Manufacturing
$166K–$260K
Cincinnati, KY · Principal · Full-time · Posted Jun 29, 2026
- Experience
- The role description states 10+ years of technical program management experience; basic qualifications also state 7+ years in manufacturing and related fields.
- Education
- Bachelor's degree in Mechanical Engineering, manufacturing engineering, industrial engineering, or project engineering in a manufacturing environment; also lists a degree or equivalent in Operations Research, Statistics, Applied Mathematics, Engineering, Computer Science, or a related field.
About the job
Leads regional, multi-vendor manufacturing operations for AWS hardware, scaling production capacity, supplier performance, and technology transitions.
What you'll do
- Own manufacturing strategy, capacity planning, supplier onboarding, site enablement, and production performance across the region.
- Lead manufacturing transformation, including facility expansion, automation, liquid-cooled rack production, and a planned Manufacturing Center of Excellence.
- Establish operational metrics and drive improvements in quality, throughput, cost, safety, and delivery across manufacturing sites.
What they ask for
- Bachelor's degree in a stated engineering discipline or a degree/equivalent in a stated quantitative or technical field.
- 7+ years in manufacturing and related fields.
- Knowledge of operating systems, hardware, storage, networking, security, database administration, and cloud infrastructure; plus experience with Six Sigma, lean manufacturing, or material handling equipment.
- Experience using technology and lean/Six Sigma methods to improve processes and communicating results to senior leadership through financial and operational reports.
Nice to have
- Master's degree or above in a stated engineering, management, technology, operations, supply chain, or business field.
- Experience with computer architecture or developing and deploying LLMs in production on GPUs, Neuron, TPU, or other AI acceleration hardware.
Pay
165,700.00 - 260,000.00 USD annually (base salary)
Tools
Six Sigma, lean manufacturing, MHE, LLMs, GPUs, Neuron, TPU, AI
AI focus
Champion AI-driven quality inspection and smart-factory adoption; preferred experience includes developing and deploying LLMs in production on AI acceleration hardware.
Model-written summary · the original posting is authoritative