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Software Engineer - Site Reliability Engineering

External
Full-timeOn-site1mo ago
AnsibleDesign SystemsDockerDocumentationGrafanaIncident Response
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Requirements

  • Experience with infrastructure-as-code tools (Terraform, Ansible)
  • Experience with monitoring and observability tools (Prometheus, Grafana or similar)
  • Experience with container orchestration (Kubernetes, Docker, ECS)
  • Knowledge of low-latency systems, trading environments, market data, or exchange protocols

Benefits

Health insurance

Additional Information

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 Proven track record designing and delivering scalable systems in production environments


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