Trading Infrastructure Specialist – Graduate Programme

Trading Infrastructure Specialists play an important role maintaining mission critical trading software and systemsin the Squarepoint technology stack.

In this role you will be joining our Trading Infrastructure Support Team on an 18-month rotation programme. During this time you will be exposed to a wide array of technologies across our Infrastructure estate and be supported byestablished members of the team.

At the end of the rotation you will have the tools and knowledge to move into one of ourDevOps/Systemsteamsor you can opt to stay within Trading Infrastructure Support.

Things you will learn:

You will be enrolled in a structured training programme with a dedicated mentor who will support you throughout your journey here at Squarepoint. Within the first few months you will learn about the tech stacks for our infrastructure teams and gain exposure to our application stack for trading.

You will work alongside our support team to learn how we address user issues understand our handling standards and gain the ability to triage and prioritise problems as they come up. You will have the opportunity to work with technologies such as Linux Kubernetes high-performance computing (HPC) distributed storage load balancing and more.

Towards the end of the programme there will be 1-week rotations within our DevOps and Systems teams so that you can gain hands-on experience within those areas.

Day-to-day responsibilities

Once initial training is complete a normal day in this role could involve:

• Troubleshooting and automation across a wide array of core systems
• Engaging with service ownerson day-to-day operational issuestriage manage andresolving incidents
• Supporting observability workload schedulers databases and Linux systems depending on team needs.
• Contributing to automation tasks using Python Bash or Ansible.
• Maintain monitoring alerting and logging pipelines
• Document issues update runbooks to aid your colleagues

Required skills:

• Bachelors degree in engineering Computer Science or related field
• Basic Linux knowledge
• Familiarity with Python
• Understanding of fundamentals of hardware infrastructure
• The ability to remain calm under pressure assess competing priorities and remain well-organised
• Scientific curiousity and desire to learn and continuously improve system performance
• Good communication skills

Nice to have:

• Exposure to one or more of containers Kubernetes VMs Distributed Storage
• Understanding of modern telemetry tooling
• Interest in HPC Schedulers or CI/CD systems