Our client is a leading general investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes.
As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations.
Requirements:
- 5+ years of experience as a DevOps / platform / systems engineer, with a track record spanning both infrastructure operations and broader platform engineering — not purely a helpdesk/ops role.
- Software development background: comfortable reading and writing production code, understanding how applications are configured and run, not just how they're deployed.



This helps when working directly alongside dev teams on their workloads.
- Python (required): solid, production-level scripting and tooling ability — automation, integrations, and support for platform/migration work. Not necessarily building a Python platform product, but extending and maintaining real code.
- Linux systems (required): strong fundamentals — processes, networking, storage, permissions, package management. Comfortable troubleshooting at the OS level across a fleet of machines.
- Infrastructure as code: hands-on production experience with Ansible and Terraform. Able to write, review, and maintain IaC that's treated like application code (version control, review, testing).
- Migration experience (highly relevant): direct experience with, or strong aptitude for, OS-level migrations (e.g., CentOS to Ubuntu) and application/workflow migrations (e.g., Airflow 1.x DAGs to Airflow 2.x). Comfortable auditing existing workloa

📌 Senior Platform Engineer (España)
🏢 Intellias
📍 España