At a Glance
- Tasks: Own and enhance production observability for live trading systems using Python.
- Company: Leading global quantitative trading firm focused on innovation.
- Benefits: Competitive salary, dynamic work environment, and opportunities for professional growth.
- Other info: Collaborate with experts and take ownership of critical production components.
- Why this job: Join a team prioritising system health and resilience in high-performance trading.
- Qualifications: 3-12 years of Python experience and strong Linux/Unix skills required.
The predicted salary is between 36000 - 60000 £ per year.
We are supporting a leading global quantitative trading firm looking to hire a Python‑focused Production Engineer to strengthen the observability, stability, and operational automation behind their live trading systems. This role sits at the core of production reliability and real‑time system insight.
Role Overview
- Own and evolve the production observability stack: metrics pipelines, logging systems, distributed tracing, alerting.
- Build automation for deployment, monitoring, incident handling, and operational workflows.
- Improve runtime reliability, system health, latency monitoring, and fault detection across distributed trading systems.
- Instrument production services for deeper visibility, debuggability, and performance insight.
- Collaborate with researchers, developers, and platform teams to ensure smooth, stable production operations.
Requirements
- 3-12 years' Python experience in production environments.
- Deep Linux/Unix experience, including low‑level debugging and performance tooling.
- Proven ability to build reliable, observable, highly available distributed systems.
- Bonus: experience with low‑latency pipelines, market data, exchange protocols, or SRE principles.
Why Join
You will be part of a production‑centric engineering team where system health, resilience, and visibility are treated as first‑class priorities. Expect ownership of critical production components supporting global, high‑performance trading.
Please apply for more info.
Quantitative Developer - Python | Production Engineering employer: Selby Jennings
Join a leading global quantitative trading firm that prioritises innovation and excellence in production engineering. With a strong focus on employee growth, you will have the opportunity to work alongside top-tier professionals in a collaborative environment that values system reliability and operational automation. Enjoy competitive benefits and a culture that fosters continuous learning and development, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Quantitative Developer - Python | Production Engineering
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python projects, especially those related to production engineering or observability. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python knowledge and system design principles. Practice coding challenges and be ready to discuss your past experiences with distributed systems and automation.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Quantitative Developer - Python | Production Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python experience and any relevant production engineering skills. We want to see how your background aligns with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about production engineering and how you can contribute to our observability stack. Keep it concise but impactful!
Showcase Relevant Projects:If you've worked on projects involving distributed systems or low-latency pipelines, make sure to mention them. We love seeing real-world applications of your skills, so include any links or descriptions that highlight your contributions.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you get the attention you deserve. Don’t miss out!
How to prepare for a job interview at Selby Jennings
✨Know Your Python Inside Out
Make sure you brush up on your Python skills, especially in the context of production environments. Be ready to discuss your experience with building reliable systems and any specific projects where you've implemented observability or automation.
✨Familiarise Yourself with Linux/Unix
Since deep Linux/Unix experience is crucial for this role, ensure you can talk confidently about low-level debugging and performance tooling. Consider preparing examples of how you've used these skills to solve real-world problems.
✨Understand Distributed Systems
Get a solid grasp of distributed systems concepts, particularly around reliability and fault detection. Be prepared to discuss how you've improved system health and latency monitoring in past roles, as this will show your practical understanding of the challenges involved.
✨Collaborate and Communicate
This role involves working closely with researchers and developers, so highlight your collaboration skills. Think of examples where you've successfully worked in a team to enhance production operations, and be ready to share how you handle communication during incidents.
