Python/DevOps Engineer

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. Your Role: 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. What We’re Looking For: 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. Why You’ll Love This Role: Work on AI‑powered trading systems that scale globally. Solve challenging problems in a fast‑paced, collaborative environment. Expand your expertise in automation, cloud infrastructure, and performance tuning. Play a key role in shaping the tools and processes that keep critical systems running. Qualifications: 3+ years of experience supporting distributed systems in cloud environments. Strong Python development skills, with a focus on automation. Experience with Kubernetes, Terraform, and CI/CD pipelines. Proficiency in SQL, Shell, and Bash scripting. Bachelor’s degree in Computer Science, Computer Engineering, or equivalent experience. 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. #J-18808-Ljbffr