Search Architect

Apolis
Bellevue, WA
23 May 2024

Vacancy expired!

JOB DESCRIPTIONSearch Architect SM level – FTE Fulltime

Digital Architecting: Develop Applications Target Architecture Blueprint, Transition Roadmap, High/Low Level Architecture design, Product Evaluations, Current Architecture evaluations, Solution Approach, Industry/Peer comparisons for several key Digital Engagements across channels.REQUIRED SKILLS Bachelor’s Degree in Computer Science/Engineering or Master’s Degree in Computer Science/Engineering. • At least 2+ years’ experience of contributing to the architect and design and prior 5+ experience as full stack lead engineer. • Cloud infrastructure and services knowledge is a must • SaaS or PaaS experience is desirable. • Previous working experience in retail domain with search engine (Azure Cognitive search, elastic) knowledge is highly desired • Experience with Spring/C# or Node/React technologies is a must. • Understanding of security concepts is a must. • Experience on an Agile team is a must. • Experience with micro-services and/or Domain Driven Design (DDD) is a must. • Exposure to CI/CD and DevOps is a must. • Knowledge of noSQL or Cassandra DB’s is desirable. • Experience with architecture diagrams or high level microservices design diagrams depicting how a typical software system might interact with its users, external systems, data sources, and services. • Making high-level decisions about each stage of the development process and leading a team of engineers to create the final product.AI/ML: • The associate should be help us to extract analytical patterns from data. • Experience in developing, deploying, and maintaining ML algorithms to analyze large volumes of historical data to make predictions. • The person should have knowledge of ML frameworks, libraries, data structures, data models and software architecture. • Come up with AI/ML use cases and develop use case realization designs • Familiar with Elastic AI/ML out of the box capabilities as the data is stored in Elastic • Migration steps from Azure Cognitive Search to Elastic Search. • Strong and Technically sound in Elastic search, able to mentor and Hands on with Index Ingestion, Search APIs & Query pipelines. • Additional Skills - Proficiency in Python with a deep learning framework such as Scikit-learn, TensorFlow or Keras