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.