Qube Research & Technologies
quantitative and systematic investment manager
SeniorSiteReliability/SoftwareEngineer-TradingPlatform
Neural analysis suggests this role is
optimal for Senior candidates.
“Senior Site Reliability / Software Engineer - Trading Platform at Qube Research & Technologies. Skills: Site Reliability, Software Engineering, Trading Platform, Observability. Scale automation, monitoring, and observability tooling. Design tooling to reduce operational risk”
What You'll Achieve.
Deliver high quality returns for our investors; Scale and operate our high-performance trading platform; Reduce operational risk, toil, and manual intervention
Industry & Context.
Solve the most complex challenges; Debugging
On-call rota
What They're Looking For.
Must Have
Deep Linux/Unix systems knowledge, Significant experience building and operating scalable and reliable production systems, Ability to reason about latency, throughput, capacity, and operational risk, Python engineering skills, Experience with observability: metrics, logs, tracing, alerting, dashboards, incident response and production debugging experience, Commitment to clear code, documentation, testing, and reducing technical debt, Ability to work effectively with engineering, infrastructure, research, and trading teams, Familiarity with SRE practices and philosophy
Nice to Have
Significant software development experience in a primary language, Experience with low-latency, high-frequency, trading, market data, or exchange connectivity systems, Experience scaling monitoring, automation, or deployment systems for high-throughput environments, Experience with Linux performance profiling and debugging tools, Experience with cloud, on-premise, or hybrid infrastructure, Experience with Terraform, Ansible, or similar infrastructure-as-code tools, Experience with Prometheus, Grafana, AlertManager, OpenTelemetry, or similar, Experience with CI/CD systems, canary releases, blue/green deploys, rollbacks, or feature flags
What You'll Do.
and observability tooling
Design tooling to reduce operational risk
Lead incident response
Evaluate trade-offs across performance
Mentor engineers through design reviews
Participate in team on-call rota
How You'll Work.
Team & Collaboration
Work effectively with engineering, infrastructure, research, and trading teams; Collaborative mindset
Full Job Description
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 senior engineer with strong software engineering, systems, and reliability expertise to help scale and operate our high-performance trading platform. This role will focus on building, scaling, and adapting critical automation, deployment, monitoring, observability, and incident-response systems for high-frequency, low-latency trading environments. Your future role within QRT Scale automation, monitoring, and observability tooling for high-frequency, high-throughput systems Design tooling that reduces operational risk, toil, and manual intervention Improve metrics, logs, tracing, alerting, dashboards, and incident workflows Lead incident response, debugging, mitigation, post mortems, and remediation Evaluate trade-offs across performance, reliability, complexity, and maintainability Mentor engineers through design reviews, code reviews, documentation, and operational best practices Participate in the team on-call rota Your Present Skill Set Deep Linux/Unix systems knowledge Significant experience building and operating scalable and reliable production systems Ability to reason about latency, throughput, capacity, and operational risk Strong Python engineering skills Experience with observability: metrics, logs, tracing, alerting, dashboards Strong incident response and production debugging experience Commitment to clear code, documentation, testing, and reducing technical debt Ability to work effectively with engineering, infrastructure, research, and t
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