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Join a cutting-edge AI trading firm as a Python/DevOps engineer and help build and maintain globally distributed systems that power research and trading operations. This is a high-impact role where automation, performance, and innovation meet fast-paced financial technology.
You’ll design and maintain automated CI/CD pipelines, manage Kubernetes clusters, and streamline workflows for distributed systems. You’ll monitor real-time production systems, fine-tune performance, and collaborate closely with research and engineering teams to deploy mission‑critical applications. You’ll also administer high‑performance databases and cloud infrastructure, helping ensure everything runs efficiently and reliably.
We need someone with strong Python skills in Linux, a solid understanding of CI/CD, and experience managing large‑scale, cloud‑based systems. You should be comfortable with Terraform, Kubernetes, SQL, and shell scripting, and have a knack for automating complex processes. Experience with streaming technologies like Kafka, financial systems, or developer tools is a plus.
If you’re driven by innovation, enjoy solving complex problems, and want to be part of a team building the future of AI‑driven trading, this role is for you.