DevOps Engineer, Data-Driven Trading – Reliability & CI/CD

SIG Susquehanna

Dublin

Hybrid

EUR 100,000 - 140,000

Full time

14 days+
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Job summary

SIG Susquehanna, a global quantitative trading firm, is seeking a DevOps Engineer for the Data Driven Trading (DDT) team in Dublin. The role focuses on production stability, CI/CD reliability, and scalable tooling across a distributed environment.

You will work with researchers, engineers, and traders to improve reliability and automate repetitive tasks while applying AI concepts to streamline operations. The successful candidate will thrive in a fast-paced setting, demonstrate strong

Qualifications

  • 2+ years of Python scripting for orchestration and automation.
  • Experience with CI/CD tools and ETL/orchestration frameworks.
  • Experience in Linux environments and with RBAC security models.
  • Strong analytical, troubleshooting and problem-solving abilities.
  • Degree in a numerate subject is required.

Responsibilities

  • Operate and support critical systems used by the trading desk.
  • Troubleshoot production incidents and implement long-term fixes.
  • Manage and support deployments across development lifecycles with reliable data handling and policy compliance.
  • Maintain and improve CI/CD pipelines and tooling for reliability and scale.
  • Contribute to automation and platform improvements to reduce recurring issues.

Skills

Python scripting
Troubleshooting
Problem solving
Communication skills
Self-management
Attention to detail
Quantitative trading interest

Education

Numerate degree

Tools

TeamCity
Apache Airflow
GitLab
Octopus Deploy
Slurm
Conda
Bash
PowerShell

Job description

SIG Susquehanna, a global quantitative trading firm, is seeking a DevOps Engineer for the Data Driven Trading (DDT) team in Dublin. The role focuses on production stability, CI/CD reliability, and scalable tooling across a distributed environment.

You will work with researchers, engineers, and traders to improve reliability and automate repetitive tasks while applying AI concepts to streamline operations. The successful candidate will thrive in a fast-paced setting, demonstrate strong

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