Artie
Software that streams data from databases to warehouses in real-time
Founding Engineer (Distributed Systems)
About the role
We are a small team based in San Francisco looking to hire our third founding engineer that has a dedicated focus around distributed systems. As a founding engineer, you will have the opportunity to wear multiple hats, directly interact with our customers and play a crucial role in shaping the future of our product.
This is a challenging and dynamic role and you will be working at the forefront of data engineering, distributed systems and infrastructure.
What you should expect & examples of day-to-day tasks:
- Building column encryption, launching our analytics portal and schema change alerts.
- Building tooling to streamline and automate infrastructure workloads.
- Introducing pipeline efficiencies by making tradeoffs between virtual memory and disk.
- Building native change data capture (CDC) connectors to data sources that we do not yet support.
About us
Artie is a real-time database replication solution for databases and data warehouses. To do this, we leverage Kafka and CDC. We're growing fast - we launched our product a year ago and are now processing 10b+ rows per month.
We're backed by Pathlight (fka Exponent Founders Capital), General Catalyst and other world class angels like Benn Stancil (Mode), Lenny Rachitsky (Lenny’s Newsletter), and Arash Ferdowsi (Dropbox).
What we are looking for
- Strong fundamentals in computer science
- Pragmatic and care more about building the right thing vs. being right
- Comfortable jumping around the stack and wearing different hats
- Someone that wants to take an active role in defining the next gen data platform that utilizes stream processing and CDC to drive data latency to zero, while also focusing on ease-of-use and extensibility
- Past experience working on scaling async systems and exposure to topics like gRPC, Kafka, Kubernetes, Helm is preferred but not required.
- Proficiency writing in Go is preferred, but not necessary.
Tech stack
- Frontend: TypeScript (React and Material UI)
- Backend: Go, Postgres, Redis, Kafka and Elasticsearch
- Infra: Terraform, Kubernetes, and Helm on GCP and AWS
About Artie
We are building Artie, a real-time data streaming solution focused on databases and data warehouses. Typical ETL solutions leverage batched processes or schedulers (DAGs, Airflow), which cannot achieve real time data syncs. We leverage change data capture (CDC) and stream processing to perform data transfers in a more efficient way, which enables sub-minute latency.
