Senior Software Engineer, Analytics Platform

📋 Description

• Expand EAP to deliver data at world-class speed and reliability.
• Architect and automate services and systems to scale under growing demand.
• Make architectural trade-offs balancing product requirements and engineering constraints.
• Maintain and grow the team's code quality initiatives through reviews.
• Lead design and discussions around team deliverables.
• Improve maintainability and developer experience of EAP codebases.

🎯 Requirements

• 4+ years backend or infrastructure engineering.
• Knowledge of distributed data storage systems.
• Proficiency in Python or a comparable language.
• PostgreSQL and ClickHouse experience.
• Memcached/Redis and Kafka/RabbitMQ experience.
• Strong communication and collaboration skills.
• Based in SF Bay Area or willing to relocate.

🎁 Benefits

• Hybrid model with in-office anchor days.
• Work on petabyte-scale event data and analytics.
• Collaborative, cross-team engineering culture.
• Focus on code quality and system design.
• Opportunity for technical leadership and direction.