Full-time | Remote | https://aip.tech
AIP Tech is a leader in algorithmic trading, bringing together experts in quantitative analysis, data science, and advanced coding. Established in 2018 as a start-up, AIP has grown into an independent, innovative firm specializing in high-frequency trading and cutting-edge technology. The company leverages data to design efficient algorithms and provide liquidity solutions to the market. AIP values a collaborative, peer-to-peer approach among colleagues to achieve its vision of becoming the premier high-frequency trading firm for both employees and partners.
We are currently seeking a DevOps Engineer [Trading / ML Infrastructure] to join our team.
Starting task: Bring up a production-ready Kubernetes cluster on Hetzner for ML training and backtesting workloads. There are some artifacts from a previous team — you'll need to review them, decide what's worth keeping, and rebuild the rest. This isn't an out-of-the-box job; we need someone who knows how to run Kubernetes on bare metal, not just on managed cloud offerings.
Core responsibilities:
What we're looking for:
Nice to have (bonus scope):