Software Engineer - Site Reliability Engineering
Qube Research & Technologies - Paris
Posted May 9, 2025
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Software Engineer - Site Reliability Engineering Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology, and trading expertise has shaped our collaborative mindset, which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. QRT is seeking a Software Engineer with strong Python skills and a deep understanding of systems design and reliability principles to help evolve and scale our high-performance trading platform. You'll build tools, automation, and design systems that support the speed and reliability our business depends on. Your future role within QRT - Collaborate with developers, researchers, traders, and platform teams to build and improve business-critical systems - Build automation for operations, deployment, monitoring, and incident response - Evaluate and implement tools that balance performance, complexity, and maintainability - Own and evolve our observability stack: metrics, logs, tracing, and alerts - Participate in the team oncall rota, leading incident response and driving continuous improvement through postmortems and root cause analysis Your Present Skill Set - Bachelor's degree in Computer Science or a strongly related field - Strong Python programming skills - Strong problem-solving skills and deep understanding of computer science fundamentals - Commitment to code clarity, documentation, and reducing technical debt - Hands-on experience with Linux/Unix systems in production environments -
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