סקירה כללית

^^משרה זו נלקחה מ Career^^Description Here at Lusha, we power sales with data. Over 1.5M users and teams at Google, Zendesk, and Yotpo use our platform to find verified contacts, spot real
• time buying signals, and automate workflows with 200M+ records. As a Backend Engineer in our Data Group, you’ll build the high
• performance APIs and services that make Sales Streaming possible. Your code sits between massive data stores and millions of users
• delivering the right contact at the right moment, every time. What You’ll Actually Do: Build lightning
• fast APIs serving recommendations, contact, and company data to millions of users daily. Design event
• driven systems that sync data across products and data lakes in real
• time. Optimize data retrieval, caching, and indexing for sub
• second response times at scale. Create fault
• tolerant services with robust monitoring and CI/CD that just work. Collaborate with Data Scientists and ML engineers to power AI
• driven features customers use. Requirements Backend engineers with 4+ years building production APIs and large
• scale data systems. Polyglot developers fluent in Python and/or Node.js with strong performance optimization skills. System builders experienced with PostgreSQL/MySQL, MongoDB, ClickHouse/Elasticsearch, and Redis. Engineers comfortable with event
• driven architectures, CI/CD, automated testing, and monitoring. AI enthusiasts excited to experiment with LLM
• based solutions for intelligent data access. Why Lusha: Your APIs power revenue. Every optimization directly impacts how sales teams discover opportunities. Scale that matters. Handle millions of requests and real
• time sync across products. Innovation meets impact. AI
• powered data access, intelligent caching, distributed systems that salespeople depend on. Growth trajectory. From bootstrapped startup to $1.5B unicorn
• join a rocket ship hitting its stride. Ready to build the data access layer that powers modern sales? Apply now.

דרישות המשרה

Backend engineers with 4+ years building production APIs and large
• scale data systems. Polyglot developers fluent in Python and/or Node.js with strong performance optimization skills. System builders experienced with PostgreSQL/MySQL, MongoDB, ClickHouse/Elasticsearch, and Redis. Engineers comfortable with event
• driven architectures, CI/CD, automated testing, and monitoring. AI enthusiasts exc

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