Tech Ops Engineer, AWS Manufacturing and Repair
Amazon Data Services, Inc.•1h ago
United StatesOnsiteFull-timeMid Level3+ yrs exp
H-1B verified · 2310 LCAs
Top focus
Aws EngineerTech Lead
- 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
- providing financial cycle inputs that drive data-informed investment decisions. You will work at the intersection of operations, finance
- workforce planning — translating production targets into actionable labor models, contributing to OP1/OP2 financial planning cycles
- 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
- 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
- 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
- multi-site expansion Provide labor cost inputs for business cases, headcount approval requests
- organizational planning Financial Cycle Inputs Prepare operational cost models and labor forecasts as inputs to OP1, OP2
- monthly financial review cycles Partner with Finance to translate operational plans into budget requests, variance explanations
- 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
- 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
- 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
- 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
- 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
- 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
- technical operations within manufacturing, logistics
- 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
- experience in financial modeling, P&L management or analysis - Experience in similar environments
- experience building launch readiness frameworks, standard work, playbooks
- scalable deployment mechanisms across multiple concurrent sites - MBA
- Master's degree in supply chain management, operations, engineering, analytics or related field - Proficiency in data visualization tools (QuickSight, Tableau
- similar) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability
- 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
- 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
- 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
Required skills
AWSExcelSQLTableauQuicksightdata analysisbudgetingforecastingvariance analysisoperations planningworkforce planningfinancial analysistechnical operationsproject managementERP systems