Founding Platform Engineer
Converge | New York, New York, United States | 2mo ago
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Original posting (closed) below
$180,000 – $240,000/yr| full-time | on-site | executive | 3+ years | visa sponsorship
skills: python, databases, oltp, olap, postgres, clickhouse, data platform, systems, backend engineering, sre, performance optimization
We’re looking for a founding engineer to own and build out the data platform powering Converge.
We are just 3 product engineers and already operate systems most companies don’t touch until much later. You’ll be the first engineer to fully own and scale the platform layer:
- Handling $4 billion in annual revenue
- Ingesting 20 TB every month
- Processing 5 billion jobs every month
- 6000 jobs / s at peak
- Queries join, window, and aggregate up to 100M rows (100GB) in seconds, fully real-time.
This is not a typical SRE, systems, or backend engineering role. You will:
- Drive your own roadmap
- Go super deep on the hardest infra and systems problems
- Work with product engineers to ship product that scales to the world’s largest consumer brands.
Some examples of what you’ll be working on:
- Build out services that can ingest up to a trillion jobs / month
- Stare at esoteric Clickhouse CPU and memory flamegraphs
- Figure out how to materialize our attribution dataset to scale to join, window, and aggregate billions of rows in realtime
- Build a SQL dialect for our customers (or agents) to directly query the data in Converge
This role is NOT for you if
- You prefer to architect systems over building them. You will implement everything you design. Expect to be coding, a lot.
- You want to own "big tech" style, multi-quarter migrations. We work with daily and weekly timelines.
- You prefer working remote over in-person. We all love working from our NYC office.
What we’re looking for
- Very strong coding skills (we mostly work with Python, you should be familiar with more performant languages)
- Deep understanding of databases (OLTP & OLAP) (we work with Postgres & Clickhouse)
- Experience at scale (you’ve seen first hand where things fall over in data-heavy systems)
- You’re pragmatic and customer-minded. The best solutions involve a deep understanding of what customers need and of what’s not needed.
Benefits
health insurance
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