DevOps Engineer - DDT (Quantitative Trading)

Location: Dublin, Ireland; participation in a global follow-the-sun team during EMEA hours.

Company

hirify.global is a global quantitative trading firm using scientific research, machine learning, advanced technology, and large-scale data to develop systematic trading strategies.

What you will do

• Operate critical production systems used by the Data Driven Trading desk and resolve incidents and change requests within defined SLAs.
• Perform root-cause analysis and implement durable fixes, automation, and structural improvements to prevent recurring issues.
• Manage production deployments and maintain reliable data retrieval, retention, and compliance across development lifecycle stages.
• Monitor, troubleshoot, extend, and build CI/CD pipelines for new project requirements.
• Maintain toolchains, build dependencies, deployment infrastructure, and retention policies across distributed systems.
• Support DevOps, reliability engineering, automation, and continuous improvement initiatives in collaboration with developers, quantitative researchers, traders, and global engineering teams.

Requirements

• Degree in a numerate subject and at least 2 years of professional experience using Python for process and systems orchestration.
• Working knowledge of Bash and PowerShell, with practical experience in Linux environments.
• Hands-on experience with CI/CD orchestration tools such as TeamCity and enterprise version control platforms such as GitLab.
• Experience with Apache Airflow or another industry-standard ETL or orchestration framework.
• Understanding and practical application of security models such as RBAC, plus exposure to deployment orchestration platforms such as Octopus Deploy.
• Strong troubleshooting, analytical, communication, self-management, and problem-solving skills, with an interest in quantitative trading.

Nice to have

• Exposure to cluster or grid management systems such as Slurm.
• Experience with dependency and environment management tools such as Conda.
• Familiarity with AI/ML workflow or orchestration tools.

Culture & Benefits

• Work in an intellectually driven and highly collaborative quantitative trading environment.
• Collaborate with global engineering and DevOps resources in a distributed follow-the-sun operating model.
• Flexible start date.
• Contribute to systems and tools supporting global markets and systematic trading.