Software Developer II (Recs)

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. Bloomreach is solving one of the digital world’s most fundamental problems: helping people instantly find what they need when they need it. We are seeking a Software Engineer 2 to join our Recommendations team , responsible for handling and serving thousands of queries on our recommendations system and development of our personalized search system. In this role, you’ll work with a passionate, versatile, and collaborative team, improving system scalability by utilizing cloud technologies, building big data spark pipelines, training and deploying ML models. Additionally, you’ll have the opportunity to influence and implement architectural solutions that will enable us to achieve our goal of being the world’s most trusted digital experience platform. Responsibilities: Own end-to-end development and operation of recommendations and search personalization: data ingestion, evaluation, deployment, and low-latency serving. Design, build, and optimize Spark-based batch and streaming pipelines for training data, feature computation, backfills, and replays at multi-tenant scale. Integrate real-time user signals (clicks, add-to-cart, conversions) into features and ranking, balancing freshness with query-triggered re-ranking constraints. Develop offline and online evaluation frameworks; define metrics and guardrails; run A/B tests and analyze results (RPV, CTR, ATC, conversion) with deep-dive segment insights and readouts. Optimize performance and cost across the stack: Spark tuning, resource sizing, caching and precomputation, and robust fallbacks for cold-start and sparse data. Build and maintain backend APIs and services for personalization; write clean, tested code; add observability (metrics, logs, tracing, alerts); operate services in production (including on-call). Collaborate with search, data science, product, and infrastructure teams to translate business goals into ranking strategies, features, and experiments; encode business rules and diversity constraints. Investigate and resolve production issues end-to-end; drive root-cause analyses, documentation, and preventive improvements; mentor peers and contribute to the technical roadmap. Qualifications: BS/MS degree in Computer Science or related fields 2+ years of experience building enterprise software applications and systems in a corporate or startup engineering environment using Python 2+ years experience working with AWS Experience with data analysis and generating insights is must Experience with developing and maintaining distributed systems at scale in a production environment is a must Experience working with search or recommendation domain is must Experience with training and deploying ML models is good to have More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don’t clock ... (truncated, view full listing at source)