Professional Services III AMZ7156.16

Amazon

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profile Job Location:

Seattle, OR - USA

profile Monthly Salary: Not Disclosed
Posted on: 5 days ago
Vacancies: 1 Vacancy

Job Summary

Employer: Amazon Web Services Inc.
Position: Professional Services III (multiple positions available)
Location: Seattle WA

Multiple Positions Available:

and implement infrastructure and automation by leveraging insights from machine learning data mining usability studies and customer feedback to enhance security and compliance in cloud applications.
with customers to assess business needs and provide architectural guidance on designing and optimizing AWS services and tools that align with their cloud transformation goals.
deep technical expertise in cloud computing and security best practices including IAM WAF IPS DDoS mitigation and SIEM to design and implement scalable and resilient security architectures using infrastructure as code (IaC).
automation solutions using scripting languages such as PowerShell Python JavaScript Bash Ruby and Perl to streamline cloud operations security enforcement and deployment workflows.
with senior AWS leadership to present technical insights advocate for customer-centric feature enhancements and influence the AWS service roadmap based on field experience and customer feedback.
and contribute to reusable technical assets including reference architectures best practice guides automation frameworks and white papers to accelerate AWS adoption for customers partners and internal teams.
travel up to 15% to perform role responsibilities may be required. 100% telecommuting permitted; work may be performed from anywhere in the U.S.

(40 hours / week 8:00am-5:00pm Salary Range $153600/year to $207800/year)

is an Equal Opportunity Affirmative Action Employer Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation



A Masters degree or foreign equivalent in Computer Science Engineering Information Technology Computing and Digital Media or related discipline and 2 years of experience in job offered or in software engineering related the alternative a Bachelors degree or foreign equivalent in Computer Science Engineering Information Technology Computing and Digital Media or related discipline followed by 5 progressively responsible years of experience in job offered or in software engineering related occupation.

Experience must include 2 years of experience in each of the following:
and analyzing requirements
and developing software applications
and testing computer programs
-level designs
-level designs

Domestic travel up to 15% to perform role responsibilities may be required. 100% telecommuting permitted; work may be performed from anywhere in the U.S.


The pay range for this position in Seattle WA is $153600/year to $207800/year; 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 Seattle WA Equal Pay Act. Base pay information is based on market location. Applicants should apply via Amazons internal or external careers site.

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 for more information. If the country/region youre applying in isnt listed please contact your Recruiting Partner.


Required Experience:

Unclear Seniority

Employer: Amazon Web Services Inc.Position: Professional Services III (multiple positions available)Location: Seattle WAMultiple Positions Available: and implement infrastructure and automation by leveraging insights from machine learning data mining usability studies and customer feedback to enhanc...
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