Engineering Lead – Recommendations

Best Buy’s Digital and Technology Team is not just a software engineering team; we’re a software engineering community; and we leverage cutting edge technology to deliver Best Buy’s digital solutions.

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 Lead:

• Manage the delivery efforts for a portion of an agile team of highly skilled, collaborative, and energetic software engineers
• 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+ years development experience using languages such as Java and a Bachelor’s degree, or 8+ years of experience without a Bachelor’s degree
• 6+ 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
• Experience with modern web application tools and technologies including: RESTFUL Web Services, Spring Boot, Splunk, ElasticSearch, JMeter, CI/CD
• 2+ years of experience developing automated unit tests using Junit or Spock
• 2+ years of experience in application performance tuning
• 2+ years of experience in automated testing applications
• 2+ years with Lucene based search technologies, such as Apache Solr
• 2+ years of experience using NoSQL data stores, such as Cassandra
• 2+ 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 bigdata and deep learning