
What the role involves
About the role
We're a small, dynamic team based in San Francisco, and we're looking for a founding engineer to join us. In this in-person role, you'll have the opportunity to wear multiple hats, interact directly with our customers, and play a vital part in shaping the future of our product.
This is a challenging and dynamic role where you'll be working at the forefront of distributed systems, infrastructure and data engineering.
What you should expect and examples of day-day tasks
- Talking to customers (who are technical and have an engineering background) to streamline their workflows and improve the UX of our product
- Building new features into our product such as column exclusion, encryption, schema change alerts and more
- Improving our internal tooling and build automation to make it easier to ship features and manage our infrastructure
- About us
- Artie is a real-time database replication solution for databases and data warehouses. We do this by leveraging Kafka and change data capture (CDC). We're growing fast - we launched our cloud product a year ago and have surpassed 1M ARR.
- We're backed by Pathlight Ventures, General Catalyst and other world class investors like Benn Stancil (Mode), Lenny Rachitsky (Lenny's NewsLetter), and others.
- What we are looking for
- Strong fundamentals in computer science or related field
- 4+ years of experience with web development and working at startups
- Pragmatic and care more about building the right thing vs. being right
- Comfortable jumping around the stack and wearing different hats
- Someone that is passionate about building products that are easy to use and extensible
- Proficiency writing in Go is preferred, but not necessary
- Happy to work in-person 5 days/week in San Francisco’s Financial District with the rest of the team.
Tech stack
- Frontend: TypeScript (React and Material UI)
- Backend: Go, PostgreSQL, Redis, Kafka and Elasticsearch
- Infra: Terraform, Kubernetes, and Helm on GCP and AWS
About Artie
Artie is software that streams data from databases to data warehouses in real-time. Today, most companies run their ETL process every few hours or overnight, so their data warehouse is always out of date; with Artie, the warehouse always has live production data.
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