Senior Platform Support Engineer

The Role

We are seeking an experienced Platform Engineer to join our Trade& Platform Support Engineering team in Singapore. You will be part of a global group that delivers front-line support for our proprietary quantitative-trading platform. Working alongside colleagues in the UK and the US, the team provides follow-the-sun coverage—24/7 monitoring and support of Schonfeld’s trading environment—while partnering closely with Development, Infrastructure, and Networking teams to ensure the platform’s connectivity, hardware, and software remain reliable, maintainable, and high-performing.

What you’ll do

Serve as the first point of contact for production issues, support requests, and alerts. Investigate and resolve incidents or outages in real time, escalating when necessary.

Collaborate with Infrastructure and Networking teams to monitor connectivity and hardware across the investment platform.

Work directly with Portfolio Managers on project work and ad-hoc support requests.

Manage regional Change Control and lead Incident Management processes.

Partner with software-development teams to ensure smooth deployment of new code to production.

Automate recurring processes and workflows, and build internal tooling to improve efficiency and system resilience.

What you’ll bring

What you need:
Minimum 5 years of experience in financial services supporting trading and post-trade systems

Experience in managing large scale deployments/environments

Experience supporting applications in a Linux environment

Strong scripting skills – Python, Bash,Shell, Perl

Experience developing tools and/or automating processes

Experience with supporting FIX protocol

An understanding of monitoring, and performance management

Excellent verbal and written communication skills

Strong ownership experience and a track record of delivering results

A degree in Computer Science, Engineering, or a related field

We’d love if you had:
Experience performing FIX certification/onboarding

Experience with NFS and GPFS file systems

Knowledge of storage devices

Experience with application monitoring systems such as ITRS Geneos

Experience with Control-M job scheduling

Knowledge of q and kdb+

Experience with AWS

Experience with Docker