Lead Software Engineer, Search – Semantic Platform

Job not on LinkedIn

🔥 1 minute ago

🇺🇸 United States – Remote

💵 $182k - $259k / year

⏰ Full Time

🟠 Senior

🧑‍💻 Full-stack Engineer

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Commerce

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

🛍️ eCommerce

🤖 Artificial Intelligence

🤝 B2B

eCommerce • Artificial Intelligence • B2B

Commerce is a company that provides flexible, AI-driven solutions designed for next-generation commerce. It connects various tools and systems to drive growth and unlock data potential for businesses. With a focus on delivering seamless, personalized experiences at scale, Commerce supports businesses through tailored solutions and end-to-end services. Its platform includes offerings like BigCommerce, Feedonomics, and Makeswift, aimed at enabling innovation, optimizing data, and creating customizable digital experiences.

📋 Description

• Lead the design and implementation of semantic search capabilities using OpenSearch • Build hybrid BM25 and vector search capabilities from the ground up • Evaluate, benchmark, and fine-tune search relevance, ranking models, and k-NN/neural search configurations • Maintain, scale, and evolve data ingestion and indexing pipelines using MySQL, Kafka/RabbitMQ, and backend microservices • Support dense vector ingestion and de-duplicated, resilient synchronization • Guide the Search team’s technical roadmap and establish engineering best practices • Mentor senior and mid-level engineers through complex architectural decisions • Ensure ultra-low latency and high-availability SLAs under massive concurrent traffic loads • Participate in the team’s on-call rotation

🎯 Requirements

• 7+ years of professional software development experience • Proven track record in a technical leadership or staff-level capacity • Deep hands-on experience building, scaling, and fine-tuning OpenSearch or Elasticsearch clusters at scale • Proven experience implementing semantic search, working with text embeddings, vector databases, and hybrid search scoring models • High proficiency in a strongly typed language such as GoLang, Scala, or Java • Experience with languages such as PHP • Strong experience with MySQL, schema design, and Kafka or RabbitMQ • Familiarity with the OpenSearch Neural Search plugin, k-NN search, or Learning to Rank (LTR) • Experience migrating large-scale search infrastructure from traditional Elasticsearch configurations to advanced OpenSearch semantic implementations • Experience setting up automated search quality measurement frameworks such as NDCG and MRR • Familiarity with Docker and Kubernetes in a cloud environment

🏖️ Benefits

• Variable compensation such as bonus or commission, where applicable • Equity, where applicable • Benefits in accordance with local policies • Inclusive and accessible hiring experience • Identity verification and secure processing in accordance with applicable privacy laws