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SafetyCulture

Senior/Staff Backend Engineer – Search

SafetyCulture

Senior Software Engineer responsible for building large-scale search systems at SafetyCulture. Designing, leading architecture, and delivering innovative search solutions for a diverse user base.

Posted 7/2/2026full-timeSydney • 🇦🇺 AustraliaSeniorWebsite

Core Competencies

Role fit
Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates deep expertise in search and information retrieval, including lexical and semantic search, while providing technical leadership in search architecture and execution. Capable of building AI-native applications and driving high-performance team outcomes through mentoring and rigorous engineering standards.

Highest-signal resume keywords
Search / Information-Retrieval ExpertiseOpenSearch / Elasticsearch ExperienceAI-Native Application DevelopmentTechnical LeadershipHybrid Retrieval Strategy

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills
ReactTypeScriptGolangPostgreSQLOpenSearchLexical Text SearchSemantic SearchRelevance TuningRAG (Retrieval-Augmented Generation)Multi-Tenanted Architecture
Soft Skills
Systems ThinkingAutonomous Decision-MakingInfluencing Product DirectionCollaborationMentoring
Tools & Technologies
AWSChunkingRetrieval PipelinesGrounding Model OutputsPerformance Observability
Industry Keywords
Search ArchitectureIndexing StrategyHybrid RetrievalEmbeddingBM25-Style Ranking

Tech Stack

Tools & technologies
AWSElasticSearchGoPostgresReactTypeScript

About the role

Key responsibilities & impact
  • Design, build and operate large-scale search across front end and back end, in a stack of React, TypeScript, Golang, PostgreSQL and OpenSearch running on AWS.
  • Own the search relevance and retrieval-quality. Define how relevance is measured, then drive it up through ranking, query pipelines, and tuning.
  • Lead search architecture: indexing strategy, hybrid retrieval (combining lexical text search with semantic/vector search), embeddings, and ranking, including the trade-offs each involves.
  • Build AI-native applications, connecting retrieval to LLM-powered experiences (e.g. RAG), and stay at the bleeding edge of agentic coding tools.
  • Provide technical leadership guiding search architecture, execution, and cross-functional collaboration to deliver impactful outcomes.
  • Own search feature delivery end-to-end: breaking down requirements with stakeholders, partnering with Product and Design, supporting other engineers, and ensuring successful delivery.
  • Articulate effort-vs-impact trade-offs, including build-vs-buy decisions.
  • Keep search operable at scale, performance, observability, and cost as data volume grows.
  • Drive high-performance team outcomes by setting rigorous engineering standards, mentoring peers, and improving team practices for quality, velocity, and collaboration.
  • Demonstrate SafetyCulture's values (Think Customer; Open, Honest, Always; Better as a Team; Be Bold, Bring Action).

Requirements

What you’ll need
  • Deep search / information-retrieval expertise: lexical text search (inverted indexes, BM25-style ranking), semantic and vector search (embeddings, approximate nearest-neighbour), hybrid retrieval, and relevance tuning.
  • Hands-on with RAG: chunking, retrieval pipelines, grounding model outputs, and evaluating retrieval quality.
  • Proven track record building search capability into new or existing applications that retrieve information at scale in a multi-tenanted architecture.
  • Strong OpenSearch / Elasticsearch operating experience at scale, including how segment merging works and the operational challenges that architecture presents.
  • A systems thinker who decomposes large problems into small ones and teaches less experienced engineers to do the same.
  • Works autonomously and is comfortable making the call without waiting on sign-off; co-owns technical and product direction rather than building to someone else's spec.
  • Influences where the product goes, not just how it gets built.
  • Thrives in a small team at a fast pace, comfortable with little formal process and structure.
  • If you have used turbopuffer in production before, let us know!

Benefits

Comp & perks
  • Equity with high growth potential, and a competitive salary.
  • Access to professional and personal training and development opportunities.
  • Participation in hackathons, workshops, and lunch & learn sessions.
  • Community involvement, open source work, attending talks and events, and experimenting with new technologies