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Twelve-week software engineering internship developing production-level code, research platforms, data-processing pipelines, database queries, and internal tools supporting quantitative finance research. Interns collaborate with quantitative researchers and experienced engineers, contribute to scalable systems, and receive structured onboarding, mentoring, and technical development opportunities.

Build and lead the Platform Desktop Engineering team, owning service availability, security, performance, support, roadmap, provisioning, image builds, automation, monitoring, hardware lifecycle, capacity, and budget. The role requires hands-on Linux expertise, production service ownership, enterprise security judgment, stakeholder management, and collaboration across infrastructure, security, identity, support, and HR teams.

Maintain the Linux desktop platform, including OS image build pipelines, provisioning tooling, security, monitoring, hardware lifecycle, and system health. Troubleshoot bare-metal and virtual machine provisioning across OpenStack and Ironic, support technical users, manage incidents and changes, and contribute to capacity planning. The role requires strong Linux administration, Python scripting, infrastructure automation, security, diagnostics, and communication skills.

Recruit exceptional software engineering talent through proactive sourcing, market mapping, networking, referrals, and relationship-building. The role manages long-term talent pipelines, partners with engineering leaders and hiring managers, champions candidates, informs recruitment strategy, and contributes to employer branding and candidate experience improvements.

Design, build, and optimize scalable software platforms supporting quantitative research and financial trading. Responsibilities include developing trading systems, modeling and simulation frameworks, research tools, machine-learning infrastructure, and high-performance distributed systems. The role involves collaborating with quantitative researchers, owning solutions end to end, applying strong software fundamentals, improving scalability and performance, and evaluating emerging technologies.

Own the reliability, performance, resilience, observability, automation, and security of enterprise network infrastructure. Design and maintain Cisco and Arista datacenter networks, support WAN connectivity, automate operations with Python and Ansible, extend infrastructure-as-code and CI/CD practices, and lead incident response, on-call operations, postmortems, and root-cause analysis for complex network issues.

As an Observability Engineer, you'll design systems for telemetry management, build scalable pipelines, and contribute to industry observability standards. Responsibilities include extending OpenTelemetry and enhancing incident response with telemetry data.

Lead and grow a team of infrastructure engineers responsible for core services (TFE, AD, Jenkins, inventory tooling, bastions). Set technical direction, ensure reliability and performance, drive IaC and automation (including AI-driven initiatives), act as incident escalation, balance ops with long-term improvements, hire and develop staff, and represent the team's roadmap to stakeholders.

Operate and evolve foundational infrastructure services including Terraform Enterprise, Active Directory, Jenkins and self-hosted platforms. Automate provisioning and lifecycle management, ensure monitoring, backups and recoverability, collaborate with platform and application teams, and participate in on-call incident response and continuous improvement.

Lead and shape the Adversary Emulation (internal Red Team) programme: plan and run complex offensive security operations, provide technical leadership and stakeholder reporting, develop tooling and team capabilities, and coach team members to improve organisational security outcomes.