Bonside is an NYC-based fintech startup providing financing to brick-and-mortar businesses (https://techcrunch.com/2023/06/07/bonside-growth-capital-bri...). We are looking to hire an experienced full-stack engineer to join as a founding member. Bonside has already deployed over 5 million dollars to brick-and-mortars in less than a year and is on track to more than double that in the coming months.
The team is currently 8 people and focused on hiring curious, ambitious, and thoughtful teammates. This opportunity presents a strong growth trajectory for a skilled engineer who will be instrumental in building delightful software, the architecting of systems, and the scaling of the engineering team. The company is at an exciting inflection point with a variety of interesting engineering challenges that include data engineering, an investment marketplace, and brick-and-mortar specific software. This role will work closely with our Head of Engineering (prev. Netflix).
Full job description: https://wellfound.com/l/2zfn1v
Tech Stack: Typescript, NextJS, tRPC, Tailwind, Node, Python, Prisma, Postgres, Vercel, Supabase, Retool, ClickHouse, Metabase
Feel free to apply on the site or email me at andrew@bonside.com
We're building an open-source alternative to Datadog.
Tech Stack: TypeScript + React + Node + Clickhouse + Postgres
ClickHouse is a popular, Open-Source OLAP Database. We are ClickHouse Inc, the company behind the database aiming to build the best in class real time data warehouse.
I am hiring for a Senior Software Engineer to work on our AutoScaling recommendation pipeline, used to do vertical and horizontal scaling database clusters for ClickHouse Cloud.
We are looking for people who have production experience in building data products - think time-series forecasting, anomaly detection using heuristics, stats or ML models. The ability to dig deep into metrics quality, statistics explainable algorithms for Auto-Scaling are crucial. Things like simulations, back-testing etc are useful to know.
If you happen to be have Data Engineering or Data Infrastructure experience as well, that's cherry on top.
You'll be working across the stack - the Infrastructure, Kubernetes Operators and innards, Data Pipelines, but most critically, the Recommendation Pipeline. If you're into Databases, we also work closely with the Core database team to support the Auto-Scaling needs.
Stack: Go for the Cloud Systems, Python for the Recommendation Services.
Apply here: https://boards.greenhouse.io/clickhouse/jobs/5140132004