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описание
The company is a global investment management firm headquartered in London, managing over $228 billion in assets for institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. It specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management, with data science, machine learning, and AI at the core of its investment and research processes.
задачи
Design, build, and maintain Python services, libraries, and command-line tooling for the internal infrastructure platform;
Work with engineering teams using the platform to understand workflows and turn recurring pain points into platform features;
Replace manual infrastructure operations with codified, self-service workflows that are reproducible, reviewable, and safe to change;
Build observability into the platform through metrics, structured logging, and alerting;
Own production platform issues end to end, from triage and root cause analysis through preventive code or configuration changes;
Manage and scale the compute and storage provisioned by the platform across on-premises hardware, balancing performance and cost as usage grows;
Build platform security by default through secrets management, least-privilege access, dependency hygiene, and an auditable history of infrastructure changes;
Evaluate new tools, libraries, and patterns and incorporate suitable ones into the platform roadmap.
требования
7+ Years of experience in DevOps, Platform, or Systems Engineering;
Strong Linux knowledge, including networking, storage, permissions, processes, and OS-level troubleshooting;
Production-level Python experience for automation, integrations, tooling, and platform or migration support;
Hands-on production experience with Terraform and Ansible;
Experience with infrastructure and workload migrations, including OS, application, or platform migrations;
Good understanding of Kubernetes, including cluster upgrades, migrations, and workload movement;
Experience with CI/CD tools such as GitLab CI, GitHub Actions, or Jenkins;
Familiarity with observability tools such as Prometheus and Grafana;
Practical understanding of secrets management, access control, and infrastructure security;
Software engineering mindset with the ability to read, maintain, and extend production code;
Strong troubleshooting, ownership, and collaboration skills;
English B2 or higher.
условия
Remote work is available across the European Economic Area.
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