Elastic Search Engineer

Alpha 20 Group
Remote, Other
POSTED ON 9/27/2022 CLOSED ON 4/3/2023

What are the responsibilities and job description for the Elastic Search Engineer position at Alpha 20 Group?

Job Description

Role:Search Engineer

Duration:Longterm

Location:Remote

Position Summary

As a senior member of the Enterprise Search team, you will have an important role in helping millions of

customers on our SHOP.COM and Market America Worldwide multi-region, multi-country and multi-

language global eCommerce websites intelligently find what they want within different categories,

merchant offers, products and taxonomy.

We have multi-billion documents in our search systems which process through multiple data ingest

pipelines into our search and recommendation platforms driven by Elasticsearch. We support various

types of data stored in our search systems for products, store offers, analytics, customer behavioral

profiles, segments, logs and much more.

If you are a top-notch Senior Search Engineer who enjoys working on search and recommendation

platforms, this is highly visible role that will provide you the opportunity to make a huge impact in our

business and a difference to millions of customers worldwide.

Job Duties and Responsibilities

  1. Focus on improving search relevancy, ranking and recommendations
  2. Microservices development to support the many services provided by the search and science teams.
  3. Work with stakeholders throughout the organization to identify opportunities for leveraging
  4. company data to drive search, discovery, and recommendations.
  5. Work closely with architects, engineers, data analysts, data scientists and project managers in
  6. assessing project requirements, design, develop and support data ingestions, API services and
  7. Elasticsearch stack solution
  8. Work with Data Scientists in integrating Ranking models, NLP and applying query understanding
  9. techniques in search

 

  1. Proven work on large-scale search, discovery, typeahead (auto-suggest), personalization, and
  2. recommendation implementation and its related infrastructure
  3. Able to influence on priorities working with various partners including engineers, project management
  4. office and leadership
  5. Mentor junior team members, define architecture, code review, hands-on development and deliver the

work in sprint cycle

  1. Perform a/b tests, work with Data Analysts and Data Scientists in evaluating the impact of search /
  2. recommendation improvements
  3. Work on moving away from legacy systems into next generation architecture
  4. Take complete ownership from requirements, solution design, development, production launch and post
  5. launch production support. Participate in regular on-call rotations.
  6. Education and Experience
  7. BS or MS in Computer Science (or related field) with 6 years of software development experience,
  8. preferably in Java
  9. 3 years of experience in search technologies such as Elasticsearch / Solr / Lucene
  10. 3 years of experience in building micro-services / Rest APIs
  11. 3 years of experience in using databases such as SQL Server, Redis and other NoSQL DBs
  12. Experience in building large scale multi-region, fault-tolerant and resilient system
  13. Software engineering skills in system architecture & design, coding, OOP, test driven development
  14. Experience with multi-node clustering, ETL, monitoring of systems and APIs.
  15. Knowledge of hot/warm/cold data, ILM (Index Life Cycle policies), Data streams, Transforms, CCR and
  16. other infrastructure aspect of services and Elasticsearch
  17. Strong experience in building micro-services, REST principles and design patterns
  18. In-depth knowledge of Java, Docker, RESTful web services, Spring, Kubernetes, Observability
  19. techniques, Kafka, Release processes, versioning, B&D and caching strategies
  20. Phenomenal communication and influencing skills

 

Nice to have

  1. Machine learning background in using ML in search.
  2. Learning to Rank, NLP
  3. Experience in Vector search / semantic search using vector search engines
  4. Experience in building real time data engineering pipeline

 

Working Conditions and Environment

  1. Early morning, late night and weekend hours required during releases and critical project periods.
  2. Continuously use a computer, see, sit, and engage in repetitive use of arms, wrists, hands, fingers
  1. and grasping.
    1. Frequently decipher visual acuity, including color and depth.

 

  1. Occasionally talk and hear.

vijay

Sr.Consultant Sales and Recruiting

Mobile: lt;/p>

Address: 43385 Allisons Ridge Ter, Ashburn, VA

Email:  vijay 

Website:  

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