НидерландыSoftware Engineer – Site Reliability Engineering
1 нед. назад
НидерландыMiddle
pythonsystems designautomationmonitoringincident response
Develop and maintain systems to ensure the performance and reliability of a high-performance trading platform, including automation, monitoring, and incident response.
Будет плюсом
- 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
Другое
- 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 QRT’s 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.
- 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
- 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