Job Requirements :

- 5+ years of experience with search infrastructure (e.g. OpenSearch, Elasticsearch, Solr, or vector/AI search).

- Hands-on experience building or maintaining retrieval pipelines and evaluating retrieval quality, including offline metrics and A/B guardrails.

- Strong understanding of information retrieval fundamentals : lexical retrieval, semantic and vector search, hybrid retrieval, and relevance tuning at scale.

- Familiarity with SEO engineering, content quality systems, or personalisation and recommendations at scale.

- Experience applying NLP or embedding-based models to query understanding, intent classification, or query expansion.

- Familiarity with A/B testing frameworks and analytics instrumentation (e.g. Amplitude, RudderStack) in a product experimentation context.

- Experience working with microservices and/or monolith architectures. The team owns a mix of standalone services and a monolith, and is actively migrating components between them, so comfort operating across both patterns is valuable.

- Experience using AI tooling in your day-to-day workflow, and curiosity about applying it more deeply.