20 meilleures offres (back end, saint eustache, qc) (à pourvoir)

Senior Search Engineer – E Commerce (Solr Cloud)
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- Anglais
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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : back end (saint eustache, qc)

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Senior Search Engineer – E Commerce (Solr Cloud)

Future Electronics -
Kirkland, QC

Postuler rapidement

Détails du poste

Permanent | Temps plein
À partir de 100 000 $ par an

Profil recherché

Bilingue
Français
SAP
Anglais
E-commerce
Taxonomie
Solr
Compétences en communication
Analytique

Description complète du poste

Role Overview

We are seeking a Senior Search Engineer – E‑Commerce (Solr Cloud) for a permanent position to own and continuously elevate the enterprise search experience on our large-scale eCommerce platform. This hands-on IT role focuses on search relevance optimization, performance at scale, advanced parametric search, and Solr Cloud excellence to support retailer-grade catalogs and high-traffic customer journeys.

You will work closely with front-end engineers, back-end developers, and business stakeholders to translate customer behavior into measurable search improvements—ensuring search is not just a system, but a product capability that drives discoverability, conversion, and customer satisfaction.

Key Responsibilities

Search Relevance & Customer-Focused Result Accuracy

Improve keyword-to-product matching so customers quickly find relevant products using real-world search terms.
Tune Solr relevance using ranking and boosting strategies, query weighting and scoring models, and analyzer configuration (synonyms, stemming, stop words, language analyzers).
Optimize search behavior for partial keywords, short queries, misspellings, search variations, and product codes vs. descriptive terms.
Partner with front-end teams to ensure search UI, ranking logic, and user expectations align.

Large-Scale eCommerce & SKU Volume Management

Architect and optimize Solr collections to support retailer-grade catalogs (hundreds of thousands to millions of SKUs).
Ensure search performance and stability under high catalog complexity, high query concurrency, and seasonal/promotional traffic spikes.
Optimize sharding, replication, and caching strategies for both relevance and low latency.
Apply retail-specific search best practices (category-aware relevance, attribute prioritization, product discoverability).

Parametric & Faceted Search Optimization

Design and optimize advanced faceted search across product attributes (dimensions, categories, ranges, technical specs).
Ensure faceted navigation remains fast and accurate at scale, supports complex filtering use cases, and works seamlessly with relevance ranking.
Collaborate with business and merchandising stakeholders to ensure attributes and filters reflect customer expectations.

Indexing Strategy (Full & Incremental)

Own and improve the indexing architecture supporting high-volume catalogs and frequent data updates.
Optimize full reindex execution time and stability, incremental (partial) indexing for near-real-time updates and minimize impact on live query performance.
Work closely with back-end developers and data teams to validate data quality, schema evolution, and zero-downtime index changes.

Search Analytics & Continuous Improvement

Analyze Solr logs and analytics to identify "no result" queries, low-quality matches, relevance gaps, and opportunities for synonym expansion or schema enhancements.
Establish a continuous improvement cycle driven by real customer search behavior.
Translate analytical findings into concrete configuration, data, or UI improvements.

Solr Cloud Platform Excellence

Leverage Solr Cloud features such as distributed indexing, shard management, and replication to ensure resilience and scalability.
Define and maintain operational best practices: monitoring, alerting, capacity planning, performance baselines, tuning playbooks, incident response, and root cause analysis.
Act as the Solr/search subject matter expert within the IT organization.

Required Qualifications

5+ years of hands-on experience in search engineering or relevance optimization.
Proven experience supporting large-scale retailers or enterprise eCommerce sites with high SKU counts and customer traffic.
Strong hands-on experience with Apache Solr / Solr Cloud in production environments.
Deep understanding of information retrieval concepts (ranking, scoring, precision/recall).
Strong experience tuning relevance, analyzers, schemas, and query behavior.
Experience diagnosing performance and relevance issues using logs and metrics.
Experience working closely with front-end and back-end engineering teams.
Comfortable translating business and customer requirements into technical search solutions.
Strong documentation and communication skills.

Nice to Have

Experience with enterprise or large retail brands and complex catalogs.
Exposure to SAP Commerce Cloud or similar enterprise eCommerce platforms.
Experience with search analytics dashboards and KPIs.
Understanding of merchandising rules, product taxonomies, and personalization.
Bilingual English/French.

#YourFuture

Job Types: Full-time, Permanent

Pay: From $100,000.00 per year

Benefits:

Casual dress
Dental care
On-site parking
RRSP match

Work Location: Hybrid remote in Kirkland, QC H9H 3L1

Postuler rapidement

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Je souhaite recevoir la dernière alerte emploi pour les postes de ce type : back end (saint eustache, qc)

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