Heap logo

Software Engineer, Data Platform (Senior/Staff)

Heap’s mission is to power business decisions with truth.

Heap

Icons/design/feather/users

201-500

Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia

Heap’s mission is to power business decisions with truth. We’re building infrastructure to automatically capture customer interactions on 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 backend platform engineer to take the lead on some of the most challenging projects on our Data Platform team. As a member of the Data Platform team you’ll be responsible for extending and scaling the core platform that runs all of Heap. You’ll improve bottlenecks in our event ingestion pipeline (Kafka / Scala) to help us scale to hundreds of billions of events every day, optimize and extend the distributed database engine that powers our analytical workloads (Postgres / Citus), and help build out a new data lake system for batch querying. You’ll help us break up monolithic services into smaller, more manageable chunks, and define clearer API boundaries and object schemas across Heap services.


We’re a distributed team that operates mostly in US West (PT) and Australian (EST) time zones. We’re open to hiring the right person anywhere within those timezones.

What we’re looking for


  • A collaborative and intellectually curious approach to software development. 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 all over the world, 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.


  • Experience in building high-volume streaming event architectures (Kafka or similar).


  • A strong understanding of cloud computing with 4+ years of working with AWS.


Under the hood, Heap is powered by Node.js, TypeScript, Golang, Scala, Spark, Kafka, Redis, and PostgreSQL (using CitusDB). For more about our architecture, check out Virtual Events: Making Data-Driven Decisions a Reality.


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.


People are what make Heap awesome. Regardless of age, education, ethnicity, gender, sexual orientation, or any personal characteristics, we want everyone to feel welcome. We are committed to building a diverse and inclusive equal opportunity workplace everyone can call home.


Heap has raised $95M in funding from NEA, Y Combinator, Menlo Ventures, SVAngel, Sam Altman, Garry Tan, Alexis Ohanian, Harj Taggar, Ram Shriram, and others. We offer plenty of awesome benefits, and we were named #1 on Glassdoor’s Best Places to Work (SMB). We'd love to hear from you!

About this role

December 19th, 2021

June 21st, 2021

Full Time

To apply, you must have a permit to work in this country.
Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia
Heap is hiring for this role
 in these timezones.
Icons/design/feather/country/us All US timezones
Icons/design/feather/country/au All AU timezones
-10.00 -10.00
-9.00 -9.00
-8.00 -8.00
-7.00 -7.00
-6.00 -6.00
-5.00 -5.00
8.00 8.00
8.75 8.75
9.50 9.50
10.00 10.00
10.50 10.50
14.00 14.00

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About Heap

Learn about Heap and their company culture.

View company profile

The New Standard In Product Analytics. Fuel product growth and team agility.

Every growing business is trying to predict the future: What products should we build? What markets should we enter? How do we provide great customer service?

These predictions require that businesses understand their ground truth: customers. Yet as businesses grow in size and complexity, customer understanding can get lost in internal politics and ego.

We’re building a product analytics tool to automatically capture all customer interactions within web and mobile, 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 now have over 10,000 businesses using us, including fast-growing startups and big companies like E-Trade, Amazon, WeWork, Twilio, McKinsey, and AT&T.

Tech stack

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App Analytics
Icons/design/feather/users

201-500

2013

Ken Fine

Icons/design/feather/country/us United States
Icons/design/feather/country/au Australia
Icons/design/feather/country/gb United Kingdom

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