Sr Search Engineer

at  Market America Inc

Market America Worldwide – Shop.com, a global e-commerce and digital marketing company that specializes in one-to-one marketing, is seeking a top-notch Senior Search Engineer to join our team. Remote opportunity can be available to candidates based in states of CA, NC, FL, NY, or CT.

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.

EDUCATION AND EXPERIENCE

• BS or MS in Computer Science (or related field) with 6+ years of software development experience, preferably in Java
• 3+ years of experience in search technologies such as Elasticsearch / Solr / Lucene
• 3+ years of experience in building micro-services / Rest APIs
• 3+ years of experience in using databases such as SQL Server, Redis and other NoSQL DBs
• Experience in building large scale multi-region, fault-tolerant and resilient system
• Software engineering skills in system architecture & design, coding, OOP, test driven development
• Experience with multi-node clustering, ETL, monitoring of systems and APIs.
• Knowledge of hot/warm/cold data, ILM (Index Life Cycle policies), Data streams, Transforms, CCR and other infrastructure aspect of services and Elasticsearch
• Strong experience in building micro-services, REST principles and design patterns
• In-depth knowledge of Java, Docker, RESTful web services, Spring, Kubernetes, Observability techniques, Kafka, Release processes, versioning, B&D and caching strategies
• Phenomenal communication and influencing skills

• Focus on improving search relevancy, ranking and recommendations
• Microservices development to support the many services provided by the search and science teams.
• Work with stakeholders throughout the organization to identify opportunities for leveraging company data to drive search, discovery, and recommendations.
• Work closely with architects, engineers, data analysts, data scientists and project managers in assessing project requirements, design, develop and support data ingestions, API services and Elasticsearch stack solution
• Work with Data Scientists in integrating Ranking models, NLP and applying query understanding techniques in search
• Proven work on large-scale search, discovery, typeahead (auto-suggest), personalization, and recommendation implementation and its related infrastructure
• Able to influence on priorities working with various partners including engineers, project management office and leadership
• Mentor junior team members, define architecture, code review, hands-on development and deliver the work in sprint cycle
• Perform a/b tests, work with Data Analysts and Data Scientists in evaluating the impact of search / recommendation improvements
• Work on moving away from legacy systems into next generation architecture
• Take complete ownership from requirements, solution design, development, production launch and post launch production support. Participate in regular on-call rotations.