Senior Software Engineer, Analytics Platform

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Expand EAP's ability to deliver data at world-class speed and reliability.
Architect and automate services and systems to scale reliably under growing demand.
Make architectural trade-offs that balance product requirements with engineering constraints.
Maintain and grow the team's code quality initiatives by regularly reviewing code and contributing to design decisions.
Lead design and discussions around deliverables the team is working towards.
Improve the maintainability and developer experience of the codebases EAP owns.

Minimum of 4+ years of experience in backend or infrastructure engineering.
Strong knowledge of replicated and/or distributed data storage systems.
Proficiency in Python or a comparable language.
You have experience with some or all of the following systems we leverage:Disk-driven Storage Systems: PostgreSQL, ClickHouseMemory-driven Storage Systems: Memcached, RedisStreaming Platforms: Kafka, RabbitMQ
Disk-driven Storage Systems: PostgreSQL, ClickHouse
Memory-driven Storage Systems: Memcached, Redis
Streaming Platforms: Kafka, RabbitMQ
Strong communication skills, with the ability to articulate technical concepts clearly.
In the San Francisco Bay Area or willing to relocate.