Senior Platform Support Engineer

SCHONFELD STRATEGIC ADVISORS (SINGAPORE) PTE. LTD.; Singapore; On-site; SGD 180,000 - 260,000; Full time

Job summary

Schonfeld Strategic Advisors (Singapore) PTE. LTD. is seeking an experienced Platform Engineer to join the Trade & Platform Support Engineering team in Singapore.

You will support a proprietary quantitative-trading platform, collaborating with UK/US teams to ensure 24/7 monitoring and reliable performance. You will work with Portfolio Managers on projects, manage change control, and automate workflows to improve efficiency and resilience.

Qualifications

• Minimum 5 years in financial services supporting trading/post-trade systems.
• Experience with large-scale deployments/environments.
• Experience supporting applications in a Linux environment.
• Strong scripting skills: Python, Bash, Shell, Perl.
• Experience developing tools/automation.
• Experience with supporting FIX protocol.
• Understanding of monitoring and performance management.
• Excellent verbal and written communication skills.
• Strong ownership and delivery track record.
• Degree in Computer Science, Engineering, or related field.

Responsibilities

• Serve as first point of contact for production issues, requests, and alerts; investigate and resolve incidents in real time.
• Collaborate with Infrastructure and Networking to monitor connectivity and hardware.
• Work with Portfolio Managers on projects and ad-hoc requests.
• Manage regional Change Control and lead Incident Management processes.
• Partner with software teams to deploy code to production smoothly.
• Automate recurring processes and build internal tooling to improve efficiency and resilience.

Skills

Ownership

Communication

Linux experience

Incident management

Monitoring & performance

Education

Bachelor's degree in Computer Science / Engineering

Tools

Python

Bash

Shell

Perl

FIX protocol

AWS

Docker

ITRS Geneos

Control-M

q

kdb+

Job description

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