Heap's mission is to power business decisions with the truth. We're building infrastructure to automatically capture customer interactions on the web and mobile applications, make sense of them, and make them actionable for anyone. We want to enable everyone to understand their millionth customer as well as they understood their first.
We're looking for a seasoned Infrastructure Engineer to take the lead on some of the most challenging projects on our Platform & Infrastructure teams. As a member of the Platform group, you'll be responsible for extending and scaling the core platform that runs all of Heap. You'll remove bottlenecks in our event ingestion pipeline (Kafka / Scala) to help us scale to hundreds of billions of events every day. You’ll optimize and extend the distributed database engine that powers our analytical workloads (Postgres / Citus), and help build a new data lake system for batch querying. You'll help us break up monolithic services into smaller, more manageable chunks and define more explicit API boundaries and object schemas across Heap services.
For this role, we're looking to bring on an Infrastructure Engineer to help lead the DevOps side of this challenge. Help us de-risk our stack, add more 9s to our availability, and incorporate open source tooling. We're looking for more vital software engineering skills than a typical DevOps role requires. This is a building role that focuses on stability, operability, and tooling, not an ops role. You'll need to be able to understand our codebase and debug issues as they come up.
We're a distributed team that operates in US West (PT) and Australian (EST) time zones. We're open to hiring the right person anywhere within those time zones.
What we’re looking for
A collaborative and intellectually curious approach to software development and infrastructure design. You enjoy learning from and teaching others, and aren't afraid of asking lots of questions.
Excellent communication skills, particularly in writing. We're a distributed team worldwide, so we pride ourselves on our ability to communicate complex ideas clearly in writing across the team.
A track record of leading projects to success over many years (5-7+ years of experience), with deep experience in building data platforms at scale for both ad hoc analytical and batch processing workloads.
You have experience with modern DevOps tooling, infrastructure as code, configuration management, CI pipelines, package managers - we need someone who has deep knowledge of the full DevOps ecosystem.
A strong understanding of cloud computing with 5+ years of working with AWS.
Under the hood, Heap is powered by TypeScript, GoLang, Scala, Spark, Kafka, and CitusDB (PostgreSQL) and Redis. For more about our architecture, check out Virtual Events: Making Data-Driven Decisions a Reality.
Heap
