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Software Engineer - Atlassian Specialist | SOFTWARE ENGINEER – ATLASSIAN SPECIALIST

Qube Research and Technologies Switzerland AG

Zürich, ZH, Switzerland
Published Dec 10, 2025
Full-time
Permanent
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Job Summary

The Software Engineer – Atlassian Specialist will join the Technology team in Zurich, operating at the critical intersection of software engineering, data engineering, and infrastructure automation within a global quantitative investment manager. This mission-critical role involves building and maintaining systems that underpin the entire research and trading lifecycle, from data acquisition and model development to execution and post-trade analysis. Day-to-day responsibilities include designing internal tools, developing automation frameworks using Python, and managing the core Atlassian Suite (Jira, Confluence, Bitbucket) including custom integrations and workflow design. The ideal candidate will possess deep experience in Python, DevOps practices, CI/CD, and cloud platforms. This is an attractive opportunity to directly support quantitative researchers and portfolio managers, helping them iterate faster and unlock new alpha opportunities by applying technology to complex financial challenges in a fast-paced, production-critical environment.

Required Skills

Education

Bachelor’s or Master’s degree in Computer Science, Software Engineering, or a related technical field (or equivalent experience)

Experience

  • 3+ years in a software or DevOps engineering role, ideally within a data-intensive, trading, or hedge fund environment
  • Proven experience building automation tools, REST APIs, and integrations using Python
  • Deep experience with the Atlassian Suite, including administration, workflow design, custom integrations, and automation scripting
  • Hands-on experience managing or deploying workloads on cloud platforms

Languages

Not specified

Additional

  • Excellent problem-solving and debugging skills; Must be comfortable working in fast-paced, production-critical environments; Strong communication skills for collaboration with technical and non-technical stakeholders; Motivation to learn about quantitative finance.