Professional Services III - AMZ26939.3
Amazon Web Services, Inc. - A97
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This role on the market
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What services roles keep asking for: AWS (19%) — counted across their open postings here.
Professional Services jobs in the United States · AWS jobs · C++ jobs · CI/CD jobs · Generative AI jobs
Amazon Web Services, Inc. - A97 has 38 open roles listed here.
- Associate Solutions Architect, AGI-Tech, Intern Cohort - 2027
- Associate Solutions Architect, AGI-Tech, Early Career - 2027
- Professional Services II - AMZ27300.3
- Professional Services II - AMZ18014.10
- SCE III–AMZ000203
Counted across 14 company job boards, updated as roles open and close.
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- Why do you want to join Amazon Web Services, Inc. - A97?
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- Tell me about a problem you solved at work that you are proud of.
- Tell me about a time you disagreed with your manager. What happened?
- Where do you want to be in three years?
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Practise the Professional Services III - AMZ26939.3 at Amazon Web Services, Inc. - A97 interview free →Employer: Amazon Web Services, Inc.Position: Professional Services III - AMZ26939.3Location: Seattle, WAMultiple Positions Available:Design, implement, and build complex, scalable, and secureGenAI and Basic qualifications: A Master’s degree or foreign equivalent degree in Computer Science, Engineering, Business Administration, or related discipline and 5 years of experience in the job offered or a related occupation. In the alternative, a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Business Administration or related discipline followed by 7 years of progressively responsible post-baccalaureate experience in the job offered or a related occupation. Experience must include: (1) 3 years of experience in direct customer (internal or external) interaction with responsibilities in ML solutions design, architecture and implementation. (2) 5 years of experience in software design and development using programing languages such as Python, Java, or C#/C++. (3) 3 years of experience in development lifecycle practices, including version control (including git), infrastructure as code (such as CDK or Terraform), and CI/CD pipelines (4) 3 years of experience with Amazon Web Services (AWS), including service including SageMaker, Lambda, S3, EC2, IAM, and CloudFormation (5) 1 years of experience designing, implementing and operating compute infrastructure for Machine Learning model training and model inference. (6) 1 years of experience designing and implementing solutions using Generative AI technologies, including large language models, and agentic framework The pay range for this position in Seattle, WA is $153600 - $207800 (yr); however, base pay offered may vary depending on job-related knowledge, skills, and experience. A sign-on bonus and restricted stock units may be provided as part of the compensation package, in addition to a full range of medical, financial, and/or other benefits, dependent on the position offered. This information is provided by Washington Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazon's internal or external careers site. #0000 Preferred: All applicants must meet all the above listed requirements. 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.
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Listed on amazon · posted 2026-08-24. ApplySarthi collects openings and links to application pages; the role is advertised by Amazon Web Services, Inc. - A97, not by us.