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Wayfair is a technology leader, reinventing the way people shop for their homes

Senior Software Engineer - Search Tech

$110k – $150k AngelList Est.
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Senior Software Engineer, Search Technologies

Who we are:

Search Technologies is a highly impactful team at Wayfair looking for experienced engineers. We build fast, reliable and powerful customer-facing search systems across all Wayfair platforms. Our infrastructure provides the most enjoyable browsing and shopping experience for our customers and partners. Search Technologies is very collaborative, as we partner with storefront and app teams, data science, infrastructure teams and operational engineering teams to create a holistic search experience for Wayfair’s customers.

This team develops and maintains all the back-end systems that a customer interacts with when they click into the search bar on Wayfair’s sites. The Search platform provides text-search capabilities to nearly every application in our storefront, with minimal latency and pinpoint accuracy. Our Search infrastructure is vast and virtualized across a cloud-based multi-datacenter environment. We strive to create a more usable search platform for all teams building text-search driven experiences. We create automated processes, tools and coach our peers to ease the burden of using, developing and maintaining large search applications. We partner with our infrastructure teams to provide a stable search platform, and with nearly every team at wayfair to produce a quality search experience.

What you’ll do:

  • Work collaboratively with partnering teams to create Java APIs for customer applications to enable fast retrieval of product & text data.
  • Construct abstraction layers/services over lucene-based and other ML-based systems that power retrieval of product data, search suggestions or other classification data and power personalization of results for individual customers at scale.
  • Create event stream producers and consumers to enable fast, modular transfer of data such as inventory, prices, sale events, etc between large applications throughout the company and hydrate search indexes with searchable product data.
  • Build and enhance software to maintain our search infrastructure, with disaster recovery, multi-datacenter support, multi-layer caching, failover capabilities, and a customized deployment process.
  • Create containerized search applications in docker/kubernetes to be leveraged by Search Technologies peers, as well as all engineering teams at Wayfair looking to utilize text-search and fast filtering capabilities
  • Develop and improve relevance in our primary product search indexes based in Elastic & Solr by partnering with Data Science, Merchandising and other teams to provide relevant results to customers.
  • Create Big Data and Machine Learning pipelines to augment and enhance search experience by providing search suggestions, allowing for expanded personalization, and enriching search relevance.

What you’ll need:

  • A graduate of a computer science, mathematics, engineering, physical science related degree program with 5+ years of relevant industry experience, OR have 7+ years of relevant industry experience
  • 4+ years of Java experience experience or 5+ years experience in other OOP-based programming languages
  • Experience building high performance, scalable and fault-tolerant Java applications preferred
  • Experience with Service-Oriented architecture (REST & GraphQL) and ability to architect scalable microservices
  • Experience with Lucene-based Search engines like Solr or Elasticsearch is a plus
  • Experience using Docker, Kubernetes or other containerization technologies is a plus
  • Expertise in algorithms and data structures
  • Ability to maintain a stable application infrastructure with appropriate metrics, logging and CI/CD pipelines
  • Experience with streaming technologies like Spark, Storm, Kafka, etc are a plus
  • Experience in Information Retrieval, Natural Language Processing is a plus
  • Good understanding of SRE/devops and experience in cloud-computing technologies and puppet is a plus.
  • A continuous drive to explore, enhance, automate and optimize distributed systems
  • Ability to work creatively and problem solve independently
  • Comfortable working in a collaborative, fast-paced and dynamic work environment
  • Experience with large-scale data processing and design of distributed systems.

About Us

Wayfair is one of the world’s largest online destinations for the home. Whether you work in our global headquarters in Boston or Berlin, or in our warehouses or offices throughout the world, we’re reinventing the way people shop for their homes. Through our commitment to industry-leading technology and creative problem-solving, we are confident that Wayfair will be home to the most rewarding work of your career. If you’re looking for rapid growth, constant learning, and dynamic challenges, then you’ll find that amazing career opportunities are knocking. No matter who you are, Wayfair is a place you can call home. We’re a community of innovators, risk-takers, and trailblazers who celebrate our differences, and know that our unique perspectives make us stronger, smarter, and well-positioned for success. We value and rely on the collective voices of our employees, customers, community, and suppliers to help guide us as we build a better Wayfair – and world – for all. Every voice, every perspective matters. That’s why we’re proud to be an equal opportunity employer. We do not discriminate on the basis of race, color, ethnicity, ancestry, religion, sex, national origin, sexual orientation, age, citizenship status, marital status, disability, gender identity, gender expression, veteran status, or genetic information.

Job type
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Wayfair at a glance

Wayfair is a technology leader, reinventing the way people shop for their homes

Wayfair focuses on E-Commerce, Home & Garden, Home Decor, and Furniture. Their company has offices in Boston and Berlin. They have a large team that's between 501-1000 employees. To date, Wayfair has raised $358M of funding; their latest round was closed on October 2014 at a valuation of $2.4B.

You can view their website at http://www.wayfair.com/ or find them on Twitter, Facebook, and LinkedIn.

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