At a Glance
- Tasks: Automate trading systems and ensure their reliability in a fast-paced environment.
- Company: Join a multi-billion dollar high frequency trading firm known for innovation.
- Benefits: Enjoy a lucrative salary, performance bonuses, and access to cutting-edge tools.
- Why this job: Work with elite engineers and traders, making a real impact in finance.
- Qualifications: 3+ years in SRE or DevOps; fluent in Python, Go, or Rust.
- Other info: Ideal for those passionate about high-performance trading systems.
The predicted salary is between 43200 - 72000 £ per year.
My client, a multi-billion dollar high frequency trading firm, is seeking a talented Systems Engineer. You will collaborate with elite software and research engineers, playing a mission-critical role in ensuring the availability, reliability, and performance of some of the most advanced trading systems in the world.
What You’ll Do
- Automate and Scale: Spearhead initiatives to fully automate trading, research, and development environments to operate 24/7 across global markets.
- Tooling & Monitoring: Build high-performance tooling in Python, Go, or Rust to streamline CI/CD pipelines, enhance environment observability, and minimize latency.
- Incident Management: Own the health of production trading platforms — providing real-time support, proactive monitoring, and incident response to minimize risk and downtime.
- Cross-Functional Collaboration: Partner with quant researchers, traders, developers, and infra teams to ensure seamless delivery of new strategies and system improvements.
- Project Leadership: Lead or contribute to strategic projects across onboarding, trading automation, anomaly detection, and intelligent system diagnostics.
Ideal Candidate Background
- 3+ years in SRE, DevOps, Infrastructure Engineering, or Trading Support within a high-performance environment.
- Hands-on with Unix/Linux, production troubleshooting, and managing complex distributed systems.
- Fluency in Python, Go, or Rust; strong scripting background is a must.
- Experience supporting FIX protocol, automated trade flows, or trading platform configuration.
- Knowledge of CI/CD systems, observability frameworks, and cloud-based infrastructure (AWS preferred).
- Bonus: Exposure to LLMs, ML pipelines, or advanced data processing in latency-sensitive systems.
Why Join?
- Work alongside world-class engineers and traders at a top-tier prop shop.
- Highly competitive base salary + performance-driven bonus structure.
- Direct ownership over high-impact, mission-critical systems and initiatives.
- Access to cutting-edge tools in low-latency, machine learning, and automated trading infrastructure.
- Grow within a technology-first environment that values innovation, mentorship, and continual improvement.
If you are passionate about building robust, high-performance trading systems and thrive in fast-paced, high-ownership roles — apply now.
Systems Engineer – High Frequency Trading – Multi-Strategy Hedge Fund – Multiple Headcount – Lucrative Compensation Package employer: Mondrian Alpha
Contact Detail:
Mondrian Alpha Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Engineer – High Frequency Trading – Multi-Strategy Hedge Fund – Multiple Headcount – Lucrative Compensation Package
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, Go, and Rust. Having hands-on experience or projects that showcase your skills in these languages will make you stand out during the interview process.
✨Tip Number 2
Network with professionals in the high-frequency trading space. Attend industry meetups or online forums where you can connect with current employees or others in similar roles. This can provide valuable insights and potentially lead to referrals.
✨Tip Number 3
Prepare to discuss your experience with incident management and production troubleshooting. Be ready to share specific examples of how you've handled real-time support and minimised downtime in previous roles, as this is crucial for the position.
✨Tip Number 4
Showcase your understanding of CI/CD systems and observability frameworks. Being able to articulate how you've implemented or improved these processes in past projects will demonstrate your capability to contribute effectively to their team.
We think you need these skills to ace Systems Engineer – High Frequency Trading – Multi-Strategy Hedge Fund – Multiple Headcount – Lucrative Compensation Package
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in SRE, DevOps, or Infrastructure Engineering. Emphasise your hands-on skills with Unix/Linux and any experience with high-frequency trading environments.
Craft a Compelling Cover Letter: In your cover letter, express your passion for high-performance trading systems. Mention specific projects where you automated processes or improved system reliability, showcasing your problem-solving skills.
Showcase Technical Skills: Clearly list your programming languages, especially Python, Go, or Rust, and any experience with CI/CD systems and cloud infrastructure. Provide examples of how you've used these skills in previous roles.
Highlight Collaboration Experience: Since the role involves cross-functional collaboration, include examples of how you've worked with teams of quant researchers, traders, or developers to deliver successful projects. This will demonstrate your ability to work in a team-oriented environment.
How to prepare for a job interview at Mondrian Alpha
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Unix/Linux and your proficiency in Python, Go, or Rust. Highlight specific projects where you've automated processes or improved system performance, as this will demonstrate your hands-on expertise.
✨Understand the Trading Environment
Familiarise yourself with high-frequency trading concepts and the role of systems engineering within this context. Being able to speak knowledgeably about trading platforms, FIX protocol, and CI/CD systems will impress your interviewers.
✨Emphasise Collaboration
Since the role involves cross-functional collaboration, be ready to share examples of how you've worked effectively with quant researchers, traders, and developers. This shows that you can thrive in a team-oriented environment.
✨Prepare for Problem-Solving Scenarios
Expect to face technical challenges during the interview. Practice articulating your thought process when troubleshooting complex distributed systems or managing incidents, as this will showcase your analytical skills and ability to handle pressure.