Trading Infrastructure Specialist – Graduate Programme

Overview

Trading Infrastructure Specialists play an important role in maintaining mission-critical trading software and systems within the Squarepoint technology stack.

Program Details

You will join 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 by established members of the team.

Career Path

At the end of the rotation, you will have the tools and knowledge to move into one of our DevOps/Systems teams, or you can opt to stay within Trading Infrastructure Support.

What You Will Learn

You will be enrolled in a structured training programme with a dedicated mentor who will support you throughout your journey at Squarepoint. In the first months, you will learn 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 triage and prioritise problems as they arise. 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 one-week rotations within our DevOps and Systems teams to gain hands-on experience in those areas.

Day-to-Day Responsibilities

After initial training is complete, a typical day may include:

• Troubleshooting and automation across a wide array of core systems
• Engaging with service owners on day-to-day operational issues, triage, management, and incident resolution
• Supporting observability, workload schedulers, databases, and Linux systems depending on team needs
• Contributing to automation tasks using Python, Bash, or Ansible
• Maintaining monitoring, alerting, and logging pipelines
• Documenting issues and updating runbooks to aid colleagues

Required Skills

• Bachelor’s degree in engineering, Computer Science, or a related field
• Basic Linux knowledge
• Familiarity with Python
• Understanding of fundamentals of hardware infrastructure
• Ability to remain calm under pressure, assess competing priorities, and stay well-organised
• Scientific curiosity and a desire to learn and continuously improve system performance
• Good communication skills

Nice to Have

• Exposure to containers, Kubernetes, VMs, or distributed storage
• Understanding of modern telemetry tooling
• Interest in HPC, schedulers, or CI/CD systems