Tech Ops Engineer, AWS Manufacturing and Repair

AWS Manufacturing & Repair operations is focused on automated assembly solutions where innovative solutions are needed to accelerate overall manufacturing time, working backwards from customers to increase critical capacity for AWS services by improving yield and reliability while reducing cycle time. This new highly cross-functional initiative brings together critical expertise from a wide-range of Amazon teams dedicated to meeting and exceeding customer expectations through innovative validation processes and Amazon operational excellence.

We are seeking a Tech Ops Engineer to serve as the global workforce planning resource, connecting production targets into actionable labor models across our complex manufacturing environment. This role is critical to enabling operational scaling across multiple phases, developing labor plan models that support workforce transitions, and providing financial cycle inputs that drive data-informed investment decisions.

You will work at the intersection of operations, finance, and workforce planning — translating production targets into actionable labor models, contributing to OP1/OP2 financial planning cycles, and building the operational frameworks that scale across multiple sites across global regions.

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

Key job responsibilities
Operational Scaling

Develop and maintain operational scaling models that translate production volume targets into resource requirements (headcount, equipment, space)

Analyze throughput data, cycle times, and capacity constraints to identify scaling bottlenecks and recommend solutions

Build repeatable frameworks for site replication and global expansion

Partner with Process Engineering and Manufacturing Test Engineering to align scaling plans with automation capabilities and production roadmaps

Track and report on VHC (Variable Headcount) scaling metrics, ensuring alignment between labor supply and production demand

Labor Plan Models
Own the development and maintenance of labor planning models across all production phases (3P contract manufacturing through 1P Amazon operations)

Model workforce requirements by shift, role type, and skill level to support production ramp schedules

Collaborate with the Site Leader to forecast indirect labor needs and optimize labor utilization rates

Develop scenario-based labor models that account for automation gains, seasonal variation, and multi-site expansion

Provide labor cost inputs for business cases, headcount approval requests, and organizational planning

Financial Cycle Inputs
Prepare operational cost models and labor forecasts as inputs to OP1, OP2, and monthly financial review cycles

Partner with Finance to translate operational plans into budget requests, variance explanations, and investment justifications

Maintain cost-per-unit models that reflect current and projected operational efficiency gains

Develop financial dashboards and reporting mechanisms that provide leadership visibility into operational spend vs. plan

Support business case development for capital investments, automation initiatives, and site expansion proposals

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. - Bachelor's degree in Electrical Engineering, Mechanical Engineering, or a related field
- Experience building scalable programs and repeatable scalable processes, levering various tools and methods to create scale and efficiency
- Experience with data analysis tools such as Excel, Pivot Tables, macros, SQL, visualization tools - Tableau, Quicksight, etc.
- Experience with budgeting, forecasting and variance analysis
- 3+ years of experience in operations planning, workforce planning, financial analysis, or technical operations within manufacturing, logistics, or data center environments - Knowledge of critical data center equipment
- Experience in project management in data centers or comparable critical infrastructure
- Experience in high-volume manufacturing operations or sourcing environments
- Knowledge of ERP systems (e.g. SAP, ORACLE, Coupa) in large organizations
- Experience in procurement practices working with engineering, supply chain and Tier 1 OEM partners
- Experience in creating process improvements with automation and analysis, or experience in financial modeling, P&L management or analysis
- Experience in similar environments, or experience building launch readiness frameworks, standard work, playbooks, and scalable deployment mechanisms across multiple concurrent sites
- MBA, or Master's degree in supply chain management, operations, engineering, analytics or related field
- Proficiency in data visualization tools (QuickSight, Tableau, or similar)

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.

The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits.

USA, TX, Austin - 111,300.00 - 186,100.00 USD annually
USA, WA, Bellevue - 111,300.00 - 186,100.00 USD annually