Aws Engineer Jobs in San Jose, CA
Aws Engineer jobs in San Jose, California are open across the metro, with employers like Adobe, ByteDance, and Deloitte hiring at every experience level. Find a role that fits below and apply directly.
Find Aws Engineer JobsOverview
Open roles19
Top employerAdobe
Work type90% On-site
Top credentialBachelor's
Companies hiring12
Showing 5 of 19+ Aws Engineer jobs
Economist, Amazon Devices Demand Planning
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Added 1w ago
Amazon.com
Economist, Amazon Devices Demand Planning
San Jose, California
Added 1w ago
Senior Cloud Platform Engineer
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Added 1w ago
Bertrandt
Senior Cloud Platform Engineer
San Jose, California
Added 1w ago
Q
Principal Cloud and Production Operations Engineer
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Q
Added 1w ago
Qode
Principal Cloud and Production Operations Engineer
San Jose, California
Added 1w ago
Software Development Engineer – Data & Cloud Engineering
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Added 2w ago
Adobe
Software Development Engineer – Data & Cloud Engineering
San Jose, California
Added 2w ago
Software Engineer, Cloud Infrastructure
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Added 2w ago
ByteDance
Software Engineer, Cloud Infrastructure
San Jose, California
Added 2w ago
Added 1w ago
Economist, Amazon Devices Demand Planning
Amazon.com·San Jose, California
$136k - $213k/yr
Doctoral degree in economics
Full Time
10,000+ employees
Job Description
DESCRIPTION
Are you excited about using econometrics to make multi-million dollar decisions more Science and Data Driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch? Do you want to work on a Economics and Data Science team focused on tackling some of the hardest business questions within the Devices business at Amazon and then scaling those Statistics and Econometrics solutions via internal to Amazon tools? Then this could be the role for you!
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support analyses on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug - all prior to launch. In this role, you will develop science for high visible senior leadership decisions on new devices and services and work with a cross-functional team to apply and scale innovative science broadly.
Key job responsibilities
- Design, estimate, and scale Berry-Levinsohn-Pakes (BLP) random coefficients demand models to quantify consumer heterogeneity, own- and cross-price elasticities, and substitution patterns across large product markets.
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support analyses on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug - all prior to launch. In this role, you will develop science for high visible senior leadership decisions on new devices and services and work with a cross-functional team to apply and scale innovative science broadly.
Key job responsibilities
- Design, estimate, and scale Berry-Levinsohn-Pakes (BLP) random coefficients demand models to quantify consumer heterogeneity, own- and cross-price elasticities, and substitution patterns across large product markets.
- Implement and optimize numerical routines—including GMM estimation, contraction mappings, and simulation-based inversion—to solve structural demand systems at scale in Python.
- Develop and validate instrumental variables strategies to address price endogeneity in differentiated product markets, ensuring unbiased and robust demand parameter estimates.
- Build production-grade pipelines that ingest large-scale observational datasets, estimate consumer preferences, and generate product-level demand forecasts on recurring schedules.
- Collaborate with cross-functional teams including product management, marketing, and operations to translate structural model outputs—such as willingness-to-pay and competitive diversion ratios—into actionable pricing and portfolio strategies.
- Advance the team's structural modeling capabilities by researching and deploying extensions to classical BLP frameworks (e.g., supply-side estimation, dynamic demand, micro-moments) and documenting approaches in clear technical reports.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, San Jose - 157,300.00 - 212,800.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
Amazon.com
Economist, Amazon Devices Demand Planning
San Jose, California
Added 1w ago10,000+ employees
$136k - $213k/yr
Doctoral degree in economics
Full Time
Job Description
DESCRIPTION
Are you excited about using econometrics to make multi-million dollar decisions more Science and Data Driven? Are you interested in supporting Consumer Hardware device concepts from innovative idea inception to launch? Do you want to work on a Economics and Data Science team focused on tackling some of the hardest business questions within the Devices business at Amazon and then scaling those Statistics and Econometrics solutions via internal to Amazon tools? Then this could be the role for you!
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support analyses on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug - all prior to launch. In this role, you will develop science for high visible senior leadership decisions on new devices and services and work with a cross-functional team to apply and scale innovative science broadly.
Key job responsibilities
- Design, estimate, and scale Berry-Levinsohn-Pakes (BLP) random coefficients demand models to quantify consumer heterogeneity, own- and cross-price elasticities, and substitution patterns across large product markets.
The Decision Science team owns demand estimates and pricing recommendations of concept devices before customers know they exist. We support analyses on hardware and services ranging from Echo Frames to Kindle Paperwhite to Blink Video Camera subscriptions to the Amazon Smart Plug - all prior to launch. In this role, you will develop science for high visible senior leadership decisions on new devices and services and work with a cross-functional team to apply and scale innovative science broadly.
Key job responsibilities
- Design, estimate, and scale Berry-Levinsohn-Pakes (BLP) random coefficients demand models to quantify consumer heterogeneity, own- and cross-price elasticities, and substitution patterns across large product markets.
- Implement and optimize numerical routines—including GMM estimation, contraction mappings, and simulation-based inversion—to solve structural demand systems at scale in Python.
- Develop and validate instrumental variables strategies to address price endogeneity in differentiated product markets, ensuring unbiased and robust demand parameter estimates.
- Build production-grade pipelines that ingest large-scale observational datasets, estimate consumer preferences, and generate product-level demand forecasts on recurring schedules.
- Collaborate with cross-functional teams including product management, marketing, and operations to translate structural model outputs—such as willingness-to-pay and competitive diversion ratios—into actionable pricing and portfolio strategies.
- Advance the team's structural modeling capabilities by researching and deploying extensions to classical BLP frameworks (e.g., supply-side estimation, dynamic demand, micro-moments) and documenting approaches in clear technical reports.
BASIC QUALIFICATIONS
- PhD in economics or equivalent
PREFERRED QUALIFICATIONS
- 2+ years of industry, consulting, government, or academic research experience
- Knowledge of at least one statistical software package such as R, Stata, Matlab, SAS
- Experience in prediction and forecasting in a research or industrial environment
- Experience with handling of large datasets
Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records.
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, CA, San Jose - 157,300.00 - 212,800.00 USD annually
USA, WA, Seattle - 136,000.00 - 184,000.00 USD annually
See All 19 Aws Engineer Jobs in San Jose
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Find Aws Engineer JobsAws Engineer Job Market in San Jose
Who's Hiring
- Adobe3
- ByteDance3
- Deloitte2
- TikTok USDS JV2
- Juniper Networks (Us)2
Top Industries Hiring
- Technology & Software8
- Consulting & Professional Services4
- Manufacturing2
- Accounting & Auditing2
- Investment & Asset Management2
Aws Engineer Jobs in San Jose: Frequently Asked Questions
How many aws engineer jobs are there in San Jose?
There are 19+ aws engineer openings in San Jose, California on Migrate Mate as of June 2026. New positions post regularly as San Jose employers hire.
Which companies hire aws engineers in San Jose?
San Jose aws engineer roles are posted by Adobe, ByteDance, and Deloitte and others right now, based on current listings on Migrate Mate as of June 2026.
Are there remote aws engineer jobs in San Jose?
Yes. About 10% of aws engineer openings tied to San Jose are remote or hybrid as of June 2026. The rest are on-site roles based in and around San Jose.
Which industries hire the most aws engineers in San Jose?
The sectors hiring the most aws engineers in San Jose are Technology & Software, Consulting & Professional Services, and Manufacturing, based on current listings on Migrate Mate as of June 2026.
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See All 19 Aws Engineer Jobs in San Jose
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