[집중채용] Senior Backend Engineer (Search, Ranking Service)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and operate backend search services for multiple domains (news, places, securities, sports, music, movies). Design and standardize an OpenSearch/MongoDB Atlas-based search architecture, analyze quality using metrics like nDCG/recall/MRR/CTR, and improve ranking and recommendation via rerankers, embeddings, and semantic/vector search. Own production backend foundations (API contracts, caching, admin APIs) and lead design reviews and technical decisions.

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and operate backend systems for domain-specific collection search services across multiple categories
•Create and standardize search architecture (indexing and retrieval) using OpenSearch/MongoDB Atlas to scale new collections quickly
•Monitor and improve search quality by analyzing operational logs and offline/online metrics (nDCG, recall, MRR, CTR)
•Advance ranking models and recommendation logic using rerankers, embeddings, semantic search, and vector/hybrid retrieval, tuning for top-1~3 accuracy
•Build production backend operations foundations such as API contracts, cache, config registry, and admin APIs; lead design reviews and technical decisions

Key Requirements

•7+ years of experience designing, developing, and operating backend services
•Proficiency in one or more of Python, Java, or Kotlin
•Experience designing and operating API/backend services serving production traffic
•Experience building real service systems in at least one domain such as search, recommendation, ranking, or data platforms
•Analyze and improve search/quality issues using logs and metrics

Experience:7+ yearsSearchRankingRecommendationData platformsBackend services

Skills:Technical leadershipProblem-solvingDesign reviewTechnical decision-making

Tech Stack:PythonJavaKotlinOpenSearchMongoDB AtlasMongoDB Atlas SearchElasticsearchSemantic SearchEmbeddingRerankerVector SearchHybrid SearchRankFusionNDCGRecallMRRCTRAPIBackend servicesCache

Company Brief

42dot

Website

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42dot

1 week ago

[집중채용] Senior Backend Engineer (Search, Ranking Service)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Location: South Korea

Workplace: Hybrid

Employment Type: Full time

Job Function: Software Engineering

Seniority: Mid level

Key Responsibilities

•Design, develop, and operate backend systems for domain-specific collection search services across multiple categories
•Create and standardize search architecture (indexing and retrieval) using OpenSearch/MongoDB Atlas to scale new collections quickly
•Monitor and improve search quality by analyzing operational logs and offline/online metrics (nDCG, recall, MRR, CTR)
•Advance ranking models and recommendation logic using rerankers, embeddings, semantic search, and vector/hybrid retrieval, tuning for top-1~3 accuracy
•Build production backend operations foundations such as API contracts, cache, config registry, and admin APIs; lead design reviews and technical decisions

Key Requirements

•7+ years of experience designing, developing, and operating backend services
•Proficiency in one or more of Python, Java, or Kotlin
•Experience designing and operating API/backend services serving production traffic
•Experience building real service systems in at least one domain such as search, recommendation, ranking, or data platforms
•Analyze and improve search/quality issues using logs and metrics

Experience:7+ yearsSearchRankingRecommendationData platformsBackend services

Skills:Technical leadershipProblem-solvingDesign reviewTechnical decision-making

Tech Stack:PythonJavaKotlinOpenSearchMongoDB AtlasMongoDB Atlas SearchElasticsearchSemantic SearchEmbeddingRerankerVector SearchHybrid SearchRankFusionNDCGRecallMRRCTRAPIBackend servicesCache

Company Brief

42dot

Website