Professional Services II - AMZ15669.7

Amazon • Seattle, WA

12d • $149,240 - $177,600

About The Position

Partner with customers and several AWS teams to craft highly scalable, flexible
and resilient cloud architectures that address customer business problems.
Design applications that run natively in the cloud by building programs that run
on any number of platforms including virtualized instances, containers, or
serverless architecture. Apply expertise in cloud-based networking and system
rollouts to specialize in network performance, infrastructure provisioning, and
building Application Programming Interfaces (APIs). Build advanced computing
systems that harness continuous integration/continuous deployment pipelines and
utilize the strengths of cloud computing to build scalable and economical
systems for customers. Apply data processing capabilities and help customers and
partners to remove the constraints that prevent customers from leveraging their
data to develop business insights. Migrate existing applications and development
of new applications using AWS cloud services. Perform large scale data
warehousing and database migration on engagements including Redshift
implementations and helping customers to migrate from their existing on-premises
data warehouses using other databases to Amazon Redshift. Work with partners and
customers with a
focus on AWS Analytics and ML services offering such Amazon Kinesis, AWS Glue,
Amazon Redshift, Amazon EMR, Athena, Amazon Sage Maker, and more. Help customers
and partners to remove the constraints that prevent them from leveraging their
data to develop business insights.

Requirements

• A Bachelor's degree or foreign equivalent degree in Computer Science, Engineering, Computational Design and Manufacturing, or a related field and 1 year of experience in cloud architecture, cloud computing, or a related occupation.
• Experience must include 1 year in each of the following:
• Cloud architecture and implementation.
• Delivering application architecture/design/modernization projects, including cloud-based solutioning (AWS or equivalent), with AI and automation
• Infrastructure as Code (IaC) tools and practices.

Nice To Haves

• All applicants must meet all the above listed requirements.

Responsibilities

• Partner with customers and several AWS teams to craft highly scalable, flexible and resilient cloud architectures that address customer business problems.
• Design applications that run natively in the cloud by building programs that run on any number of platforms including virtualized instances, containers, or serverless architecture.
• Apply expertise in cloud-based networking and system rollouts to specialize in network performance, infrastructure provisioning, and building Application Programming Interfaces (APIs).
• Build advanced computing systems that harness continuous integration/continuous deployment pipelines and utilize the strengths of cloud computing to build scalable and economical systems for customers.
• Apply data processing capabilities and help customers and partners to remove the constraints that prevent customers from leveraging their data to develop business insights.
• Migrate existing applications and development of new applications using AWS cloud services.
• Perform large scale data warehousing and database migration on engagements including Redshift implementations and helping customers to migrate from their existing on-premises data warehouses using other databases to Amazon Redshift.
• Work with partners and customers with a focus on AWS Analytics and ML services offering such Amazon Kinesis, AWS Glue, Amazon Redshift, Amazon EMR, Athena, Amazon Sage Maker, and more.
• Help customers and partners to remove the constraints that prevent them from leveraging their data to develop business insights.

Benefits

• 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.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level