Senior Staff Software Engineer

Bloomreach is building the world’s premier agentic platform for personalization .We’re revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize the entire customer journey. We're taking autonomous search mainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We’re making conversational shopping a reality, connecting every shopper with tailored guidance and product expertise — available on demand, at every touchpoint in their journey. We're designing the future of autonomous marketing , taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine — Loomi AI — so that personalization isn't only autonomous…it's also consistent.From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. About the Team: AI Search The AI Search team owns Bloomreach’s core search platform, serving hundreds of millions of queries per day across enterprise customers. We build and operate highly scalable, low-latency systems that combine traditional information retrieval with modern ML-driven ranking and semantic understanding — all in production at scale. This team sits at the intersection of systems engineering, search relevance, and applied ML , with direct impact on customer revenue and experience. The Role: As a Senior Staff Engineer , you will be a technical leader responsible for shaping the architecture and long-term evolution of Bloomreach’s Search platform. You will lead complex initiatives, set technical direction, and mentor engineers, while remaining deeply hands-on. This role is ideal for someone with deep Search domain expertise , strong system design skills, and a track record of delivering and operating critical platforms at scale. What You’ll Do Own and evolve core Search architecture , spanning indexing, retrieval, ranking, and query-time execution. Lead design and execution of large, cross-cutting search initiatives across multiple teams and services. Drive technical strategy for search relevance and ranking systems , balancing precision, recall, latency, and cost. Partner with Applied Science and ML teams to productionize ranking models and semantic retrieval techniques. Ensure search systems meet strict latency, availability, and scalability SLAs under real-world traffic. Act as a technical mentor and multiplier, raising the bar through design reviews, code reviews, and technical coaching. Influence roadmap and prioritization by articulating clear technical tradeoffs and long-term platform implications. Serve as a technical escalation point for complex production and architecture decisions. Must-Have Qualifications 8–12+ years of professional software engineering experience, with deep expertise in backend and distributed systems. Strong, hands-on experience building large-scale Search or Information Retrieval systems . Deep expertise in search relevance, ranking, and query/catalog understanding . Proven experience designing and operating distributed, low-latency systems at scale. Strong coding skills in Java and/or Python , with a focus on production-quality, maintainable systems. Experience working in cloud environments (AWS or GCP) and modern deployment platforms. Ability to lead technical initiatives across teams and influence without direct authority. Clear, effective communicator able to explain complex technical concepts and tradeoffs. Nice-to-Have Hands-on experience with Apache Solr, Lucene, or Elasticsearch . Experience with vector search, embeddings, or semantic retrieval . Familiarity with search evaluation, offline metrics, ... (truncated, view full listing at source)