Engineering Manager - Recommendations

Profile

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The Recommendation team is a cross functional team comprised of extremely talented individuals. We are evolving the recommendation engine that drives relevant product discovery across pages on BestBuy.com. On a daily basis, we encounter and solve interesting engineering challenges, using the latest technology and frameworks, which allows our platform to easily scale to meet the demands of a top 5 e-commerce site.

What you will do as an Engineering Manager:
Manage the delivery efforts for a portion of an agile team of highly skilled, collaborative, and energetic software engineers
Foster the career development for software engineers that comprise your direct reports within the Recommendation team
Lead application design and solution design for efforts within the Recommendation team
Develop and review code using current and leading-edge programming languages, frameworks, and technologies
Provide expertise in software development lifecycle phases, including concept, design, development, testing and deployment
Collaborate with cross-discipline teams to solve problems of a top 5 e-commerce website
Share and champion ideas that evolve how we build our software product
Basic Qualifications:
6 or more years of development experience using languages such as Java and a Bachelor’s degree, or 8 years of experience without a Bachelor’s degree
6 or more years of experience building web applications using Java, Spring, and REST
Strong working knowledge of modern engineering concepts including Design Patterns, Domain Driven Design, and Microservices
Knowledge of all of the following specifications: HTML, JSON, and REST
Preferred Qualifications:
Disciplined software engineering habits including TDD, Automated Unit Testing
2 or more years of experience leading small technical teams
Experience with modern web application tools and technologies including RESTFUL Web Services, Spring Boot, Splunk, ElasticSearch, JMeter, CI/CD
2 or more years of experience developing automated unit tests using Junit or Spock
2 or more years of experience in application performance tuning
2 or mroe years of experience in automated testing applications
2 or more years with Lucene based search technologies, such as Apache Solr
2 or more years of experience using NoSQL data stores, such as Cassandra
2 or more years of experience using Messaging technologies, such as AMQP or Apache Kafka
Exposure to one or more Cloud Computing Platforms, such as AWS, Google Cloud Platform, or Azure
Experience with reactive programming frameworks, such as Spring WebFlux
Experience with off-heap caching solutions, such as Memcached
Experience with container platforms, such as Docker
Experience with big data and deep learning

Company info

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