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

SIG Susquehanna; Dublin; Hybrid; EUR 100,000 - 140,000; Full time

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