Staff Engineer - Recommendations

📋 Description

• Build data pipelines, backend services, and APIs for recommendations, content discovery, groups
• Develop data models and schemas for analytical workloads and real-time personalization.
• Collaborate with data scientists, product managers, and engineers to capture and use data for
• Develop large-scale data processing with Spark and Kafka.
• Advance personalization from heuristics to data-backed models.
• Contribute to backend architecture, REST and WebSocket APIs, caching, queues, and cloud

🎯 Requirements

• 3+ years in software engineering with data engineering, backend systems, or scalable SaaS.
• Proven ETL/ELT data pipelines experience.
• Strong SQL and analytics-oriented DB optimization.
• Hands-on with Spark, Kafka, Hadoop, or Beam.
• Experience on cloud platforms at scale (AWS or Google Cloud).
• Programming in Python, JavaScript/Node.js, MongoDB, Redis.

🎁 Benefits

• 100% remote work with flexible hours and core collaboration window.
• Health benefits.
• 401(k) plan for eligible U.S. employees.
• Stock options.
• Generous paid holidays.
• Unlimited flexible vacation.