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Artie (YC S23) Is Hiring Engineer #3
About the role We're a small, dynamic team based in San Francisco, and we're looking for our third engineer to join us as a founding product engineer. 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 Tech stack Frontend: TypeScript (React and Material UI) Backend: Go, PostgreSQL, Redis, Kafka and Elasticsearch Infra: Terraform, Kubernetes, and Helm on GCP and AWS
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. Frontend: TypeScript (React and Material UI) Backend: Go, PostgreSQL, Redis, Kafka and Elasticsearch Infra: Terraform, Kubernetes, and Helm on GCP and AWS Typical ETL solutions leverage batched processes or schedulers (DAGs, Airflow), which cannot achieve real time data syncs.
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