Senior DevOps Engineer
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.
The Network Engineering function is responsible for the design, reliability, and optimisation of QRT’s wide-area network. The team supports large-scale routing infrastructure and collaborates closely with stakeholders across operations, systems engineering, and automation to ensure robust connectivity for global research and trading activities.
Your Future Role within QRT
You will:
Design, build, and operate scalable, resilient infrastructure configuration and platform services
Develop and maintain CI/CD pipelines to enable efficient and reliable software delivery
Implement and evolve observability systems using OpenTelemetry (OTel), including distributed tracing, metrics, and logging
Troubleshoot complex system issues, perform root cause analysis, and implement long-term fixes
Automate infrastructure provisioning and configuration using scripting and infrastructure-as-code approaches
Work closely with engineers to improve system design, deployment processes, and runtime performance
Operate and optimise containerised environments and orchestration platforms (e.g. Kubernetes)
Take ownership of services and features from implementation through production support and continuous improvement
Collaborate with stakeholders to understand requirements and deliver effective technical solutions
Your Present Skillset
Strong Linux systems expertise, including debugging and performance tuning
Solid networking knowledge (TCP/IP, DNS, firewalls, VRFs, VLANs, BGP)
Proficiency in Bash and Python for automation and tooling
Experience with Python web frameworks (e.g. Flask, Django REST Framework)
Experience building RESTful APIs
Hands-on experience with containerisation (Docker) and container orchestration (Kubernetes)
Experience with monitoring and logging stacks (Prometheus, Grafana, Loki)
Understanding of asynchronous and multi-threaded systems
Experience working with CI/CD systems in production environments
Familiarity with distributed systems and common reliability patterns
Ability to define and measure KPIs, SLAs, and SLOs
Strong communication skills and ability to work with both technical and non-technical stakeholders
Desirable:
Familiarity with infrastructure-as-code tools (i.e. Terraform)
Experience with cloud platforms (i.e. AWS)
Knowledge of OpenTelemetry (OTel), including instrumentation, tracing, metrics, and observability pipelines
QRT is an equal opportunity employer. We welcome diversity as essential to our success. QRT empowers employees to work openly and respectfully to achieve collective success. In addition to professional achievement, we are offering initiatives and programs to enable employees achieve a healthy work-life balance.