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 Compute Operations team support the day-to-day operation of on-prem compute infrastructure, covering HPC server hardware, Linux-based platforms, and user-facing support. You will work closely with the Compute Ops Team Lead, Linux engineers, and other platform groups to maintain reliable, performant compute services across Slurm, Kubernetes, and control-plane environments. 

Your Future Role within QRT
You will:

• Provide hands-on support for HPC server hardware, including diagnostics, issue investigation, and coordination with vendors for repairs
• Monitor system health and respond to alerts using infrastructure monitoring tools
• Support hardware lifecycle activities, including provisioning, maintenance, and decommissioning
• Troubleshoot Linux-based systems across OS, networking, and storage layers
• Triage and resolve user-facing issues across compute platforms such as Slurm and Kubernetes
• Coordinate with internal teams and vendors on maintenance and incident resolution
• Execute scheduled maintenance and change activities
• Maintain accurate infrastructure records and documentation
• Contribute to runbooks and continuous improvement of operational processes
• Participate in on-call rotations and incident response

Your Present Skillset

• 2–5 years of experience in compute infrastructure, systems engineering, or a related role
• Strong Linux systems administration experience (i.e. RHEL, Rocky Linux, or similar)
• Strong understanding of server hardware (i.e. compute, storage, networking components)
• Familiarity with infrastructure monitoring tools (e.g. OneView, Dell OME, or similar)
• Exposure to HPC or platform environments such as Slurm or Kubernetes
• Experience or familiarity with operational tooling (i.e. NetBox, DNS, HashiCorp Vault, Ansible, scripting languages or similar)
• Knowledge of automation or scripting (e.g. Bash, Python, Ansible)
• Strong troubleshooting and problem-solving skills
• Ability to communicate effectively and work in a collaborative environment
• Understanding of datacentre operations and safety practices is beneficial

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.

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.  

The successful candidate will join the established DCO team at QRT, working closely with Network Engineering and infrastructure teams you will be responsible for the implementation and physical  deployment of electronic trading infrastructure in support of the firm’s trading activities.

Your Future Role within QRT

• Contribute to the design and planning of new equipment deployments in line with data centre best practices

• Deploy, maintain, and decommission trading infrastructure hardware, including FPGA platforms, ultra-low-latency servers, and high-performance network switches, across a global colocation footprint

• Ensure consistent build quality across structured cabling, rack layouts, power distribution, cooling infrastructure, and environmental monitoring

• Coordinate installations, upgrades, capacity expansions, and decommissions with exchanges, colocation providers, hardware vendors, and onsite engineers

• Support procurement, logistics, inventory management, and the movement of hardware and components between sites

• Maintain accurate and up-to-date infrastructure documentation (rack elevations, patching matrices, connectivity layouts) using CMDB tools such as NetBox

• Work closely with network engineering and trading teams to ensure physical infrastructure meets performance and operational requirements

• Use basic scripting (Python, Bash, Ansible) to support automation, monitoring, and operational tooling where required

• Ensure data centre operations meet high standards of security, cleanliness, documentation, and supply management

• Install, troubleshoot, and support servers, switches, timing devices, and cabling in live environments

• Provide break-fix support in a 24/7 global trading environment

Your Present Skillset:

• Experience working in low-latency or high-performance trading infrastructure environments (e.g. HFT, exchange colocation, market making)

• Strong understanding of hardware and systems used in low-latency trading, including FPGAs, optical taps, high-performance servers, networking, and timing equipment

• Solid understanding of hardware and network devices, including basic configuration

• Proven experience managing vendors and delivering on-site changes and large-scale deployments to exacting standards

• High standards of physical build quality, attention to detail, and operational discipline in infrastructure layout and cabling

• Strong documentation skills with a focus on process consistency and operational readiness

• Comfortable working in a fast-paced, globally distributed team environment

• Willingness to travel internationally and provide occasional evening or weekend support as part of a flexible operations schedule

• Ability to participate in an out-of-hours on-call rotation supporting global trading operations

Base salary range for this position is $150,000 to $180,000 per year. 

QRT Total Compensation includes discretionary performance-based bonuses and a competitive benefits package.

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 global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide.

Your Future Role within QRT
You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre.

• Design and evolve the network automation framework (source of truth, templating, validation, change control).
• Build idempotent automation to provision and operate data centre fabrics at scale.
• Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.)
• Capture network intent as code, ensuring peer reviews and quality gates.
• Instrument the network with telemetry, alerting, and SLOs to drive automated remediation.
• Adhere to NetDevOps practices and share knowledge across the team.
• Collaborate with network and platform engineers to translate designs into automated workflows.
• Deliver frequent, incremental improvements through safe, tested changes.
• Monitor vendor and industry developments and propose practical adoption paths.

Your Present Skillset

• Advanced Python development for production-grade tools and services.
• Go (preferred) for performant tooling.
• Strong Ansible experience (roles, collections, YAML/JSON data models).
• Git proficiency including branching, pull requests, and semantic versioning.
• Observability fundamentals (Prometheus, Grafana, logging and tracing).
• Source of truth/CMDB systems (NetBox, Nautobot etc.).
• Linux networking (iptables, DHCP, DNS) and strong Bash scripting.
• Workflow orchestration (Temporal or equivalent).
• Network validation and testing tools (pyATS, NAPALM etc.).
• Containers and orchestration (Docker, Kubernetes).
• Secure secrets and configuration management (Vault, PKI best practices).
• Experience with data centre fabrics, QoS, and high-performance networking is a plus.

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.

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.

Your future role within QRT

We are seeking a Software Engineer to join our HPC Research Infrastructure team, responsible for building and evolving an in-house research platform that underpins quantitative research across the firm. The platform provides scalable, secure, and efficient access to high-performance compute and data, enabling researchers to run large-scale, compute-intensive pipelines with minimal friction. 

In this role, you will design and implement core platform components including APIs, backend services, and tooling to support job submission, scheduling, resource management, security, and observability across heterogeneous compute environments (on-prem and/or cloud). You will operate at the intersection of software engineering, distributed systems, and infrastructure, helping to deliver a robust, developer-friendly platform that enables research at scale and has company-wide impact. 

Responsibilities

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 
• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 
• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 
• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 
• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 
• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skillset 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 
• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 
• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 
• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 
• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 
• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 
• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 
• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

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.

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.

You will work on the HPC Research Platform, building and evolving an in-house research platform that provides efficient, secure access to compute and data for research teams across the organisation. The focus is on enabling the execution of large-scale compute pipelines by developing the services and tools that underpin job submission, scheduling, security, and observability across a range of environments. You will collaborate closely with Quantitative Researchers as well as engineering and infrastructure stakeholders to deliver a platform that supports computational research at scale.

Your Future Role Within QRT 

• Collaborate closely with quantitative researchers, platform engineers, and other cross-functional teams to understand research workflows and translate them into scalable, reliable platform capabilities 

• Design, build, and maintain distributed services and APIs that manage compute workloads, data access, and execution lifecycles across HPC environments 

• Improve the usability, reliability, and performance of large-scale quantitative research workflows, with a strong focus on developer experience and operational excellence 

• Contribute to the design and implementation of scheduling, security, and observability solutions suitable for highly parallel, compute-heavy systems 

• Work with state-of-the-art infrastructure and modern software engineering practices to support massive compute pipelines and rapidly evolving research demands 

• Take ownership of complex technical problems, operating with a high degree of autonomy while making pragmatic trade-offs to deliver impact quickly and safely 

Your Present Skill Set 

• BSc / MEng / PhD in Computer Science or a closely related field, or equivalent practical experience, with 5+ years of professional software development 

• Strong proficiency in at least one statically-typed programming language (e.g. C, C++, Java, Rust), with an interest in Go (prior experience welcome but not required). Experience with Python is a plus 

• Required: 5+ years of experience designing, implementing, and operating large-scale distributed systems in production environments 

• Preferred: Prior experience in quantitative finance or working closely with quantitative researchers and data-intensive workloads 

• Preferred Understanding of GPU programming models and performance considerations (e.g. CUDA, memory hierarchies, parallel execution), with exposure to ML frameworks such as PyTorch or TensorFlow 

• Solid understanding of systems concepts such as concurrency, performance, fault tolerance, and reliability 

• Comfortable working in fast-moving, rapidly evolving environments; proactive in learning new technologies and improving existing systems 

• Pragmatic engineering mindset, with a focus on delivering high-impact solutions while maintaining long-term platform health 

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.

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.

You will join the Compute Operations team, responsible for managing on-premise compute infrastructure and ensuring reliable, high-performance services for research and trading activities. The team works closely with Quantitative Researchers, Traders, and platform engineering teams supporting scheduling, orchestration, and control plane systems.

Your Future Role within QRT

You will:

• Lead daily operations across compute infrastructure, covering hardware support and Linux-based platforms
• Oversee lifecycle management, health monitoring, and repair of HPC server hardware, including liquid-cooled systems
• Coordinate with hardware vendors for support, maintenance, and replacement activities
• Monitor infrastructure using platforms such as HP OneView, Dell OpenManage Enterprise (or equivalent)
• Triage and prioritise issues raised by users of compute platforms, including scheduling and containerised environments
• Collaborate with Linux and platform engineering teams on incident resolution and capacity planning
• Plan and oversee maintenance, inspections, and change management activities
• Maintain and support disk encryption services and related configurations
• Mentor and support engineers across hardware and Linux domains, ensuring effective workload distribution
• Maintain operational documentation, reporting, and continuous service improvement initiatives

Your Present Skillset

• 5+ years of experience in compute infrastructure, covering hardware and/or Linux systems
• Experience leading a team or operating as a senior engineer in a production environment
• Strong understanding of HPC server hardware and vendor support processes
• Experience with infrastructure monitoring and management tools (e.g. HP OneView, Dell OpenManage Enterprise, or similar)
• Familiarity with compute platforms and orchestration tools (e.g. Slurm, Kubernetes)
• Experience with operational tooling such as NetBox, Infoblox, Temporal, HashiCorp Vault, or similar systems
• Strong incident management, prioritisation, and communication skills

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.

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 global Infrastructure team designs, builds, and operates QRT’s high-performance compute and research environments. The team focuses on automation, scalability, and reliability across datacentres and research platforms, working closely with engineering, storage, and research groups worldwide.

Your Future Role within QRT
You will help automate all aspects of a growing, cutting-edge datacentre and research platform. You will build tooling, pipelines, and guardrails that turn network intent into safe, repeatable outcomes for QRT’s high-performance on-premise datacentre.

• Design and evolve the network automation framework (source of truth, templating, validation, change control).
• Build idempotent automation to provision and operate data centre fabrics at scale.
• Integrate with vendor APIs and SDKs (e.g. Arista EOS, NetQ etc.)
• Capture network intent as code, ensuring peer reviews and quality gates.
• Instrument the network with telemetry, alerting, and SLOs to drive automated remediation.
• Adhere to NetDevOps practices and share knowledge across the team.
• Collaborate with network and platform engineers to translate designs into automated workflows.
• Deliver frequent, incremental improvements through safe, tested changes.
• Monitor vendor and industry developments and propose practical adoption paths.

Your Present Skillset

• Advanced Python development for production-grade tools and services.
• Go (preferred) for performant tooling.
• Strong Ansible experience (roles, collections, YAML/JSON data models).
• Git proficiency including branching, pull requests, and semantic versioning.
• Observability fundamentals (Prometheus, Grafana, logging and tracing).
• Source of truth/CMDB systems (NetBox, Nautobot etc.).
• Linux networking (iptables, DHCP, DNS) and strong Bash scripting.
• Workflow orchestration (Temporal or equivalent).
• Network validation and testing tools (pyATS, NAPALM etc.).
• Containers and orchestration (Docker, Kubernetes).
• Secure secrets and configuration management (Vault, PKI best practices).
• Experience with data centre fabrics, QoS, and high-performance networking is a plus.

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.

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.

You will join a Network Engineering team responsible for designing and operating large-scale datacentre and high-performance computing (HPC) network infrastructure. The team works closely with Quantitative Researchers, Traders, and infrastructure teams to ensure reliable, high-performance connectivity across compute and storage platforms.

Your Future Role within QRT
You will:

• Architect, engineer and deliver large-scale datacentre network infrastructure supporting HPC environments
• Design and build network fabrics with a focus on scalability, resilience and performance
• Support connectivity across compute, storage and cloud platforms
• Troubleshoot complex issues across large-scale network environments
• Collaborate with project management and engineering teams across the organisation
• Engage with network vendors and contribute to engineering discussions on products and solutions
• Contribute to a software-driven network engineering approach, including automation and tooling
• Stay informed on industry trends and emerging technologies to evolve network infrastructure

Your present skillset

• Demonstrate expert knowledge of datacentre networking technologies, including EVPN/VXLAN

• Demonstrate expert knowledge of routing protocols and resilient fabric design, with proven experience designing, building and troubleshooting large-scale datacentre network fabrics
• Understand switch ASICs, buffering models, platform capabilities and performance trade-offs
• Have experience with RDMA, RoCE and/or UEC networks
• Understand datacentre physical standards, including fibre, optics, cabling, switch airflow, cooling and power
• Have knowledge of WAN engineering and cloud interconnects supporting hybrid infrastructure and cloud bursting
• Have at least basic practical knowledge of Python or Go/Golang, Ansible, Git and AI-assisted engineering tools such as Claude
• Be comfortable getting hands-on with smaller engineering tasks as well as larger strategic projects
• Be a highly collaborative team player who takes ownership of complex problems and major project deliverables, communicating clearly and working across teams to drive successful outcomes

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.