Senior Software Engineer

Artie Software that streams data from databases to warehouses in real-time. Senior Software Engineer

$150K - $250K

San Francisco, CA, US Full-time Engineering, Backend 3+ years Will sponsor Connect directly with founders of the best YC-funded startups. Apply to role › Contact Robin Tang – Founder About The Role We are a small team based in San Francisco looking to hire a founding engineer with 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 where you will be working at the forefront of data engineering, distributed systems and infrastructure. 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. Qualifications Strong fundamentals in computer science. Pragmatic and care more about building the right thing than 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. 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, 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, enabling sub‑minute latency. #J-18808-Ljbffr MaC Venture Capital