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Position Details: Java/Scala Engineer-(904963Z)

Location: Beaverton, OR
Openings: 2
Job Number:





Typical Office: This is a typical office job, with no special physical requirements or unusual work environment.



Sr. Platform Engineer – Retail Commerce Platform – Client Digital Engineering


As a Sr. Platform Engineer on the Client+ team, you will:

· Design and build micro-services in Java and Scala to be part of the Client Retail platform

· Design and build highly-available and highly-performant NoSQL persistence layers leveraging DynamoDB, Redis, etc.

· Review and give feedback on technical designs, code and tests to ensure best practices and being followed

· Harness DevOps skills to improve unifying software development, operations and stability  

· Profile and performance tune to enhance the platform and provide visibility into system limits and scaling needs

· Establishing and maintain collaborative partnerships with architects and other teams to provide and receive insight into solution and implementation approaches

· Test through automation to ensure code and functional quality of the platform


REQUIRED experience for this roll:


· Minimum of 5 years of directly relevant work experience as a software engineer

· Minimum of 3 years of experience building scalable, highly available, distributed Java RESTful APIs

· Minimum of 1 year of experience building scalable, highly available, distributed Scala RESTful APIs

· Experience writing automated tests using JUnit, ScalaTest, Cucumber, Spock and Specs

· Experience using Functional Reactive Programming

· Experience with the Akka libraries, HTTP is a must

· Experience with applications hosted in Amazon Web Services

· Experience using Amazon Web Services: CloudFormation, CloudWatch, SQS, SNS, S3, DynamoDB, Kinesis, EMR, ElasticCache and Elasticsearch

· Bachelor's degree in Computer Science, Information Systems or relevant fields

· Excellent collaboration, analysis, written and oral communication skills

· Strong working knowledge of basic computer science data structures and algorithms, NoSQL databases, Inversion of Control (IoC) and other common patterns and practices gained with experience in the above requirements

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