Low-Latency Engineer

Low-Latency Engineer

London Full-Time 43200 - 72000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Join a dynamic team to design and optimise fast-trading systems.
  • Company: Be part of a global tech-centric prop trading fund with a vibrant culture.
  • Benefits: Enjoy market-leading pay, flexible work-life balance, and a relaxed dress code.
  • Why this job: Make a real impact in an innovative environment while collaborating with top talent.
  • Qualifications: Experience in low-level systems programming and optimisation is essential.
  • Other info: Open to candidates from finance and non-finance backgrounds with diverse programming skills.

The predicted salary is between 43200 - 72000 £ per year.

Exciting opportunity to work at a tech-centric prop trading fund which trades a wide range of financial products, with offices across the globe. Work is organized into small, project-oriented teams, each with the independence and responsibility to make decisions that impact the business.

Seeking a talented Software Engineer with experience in high-performance low-latency systems. You’ll collaborate with quant researchers and developers, taking a holistic approach to design and optimize the fast-trading systems. To be successful, you must have experience of low-level systems programming and optimisation. They are keen to see candidates from both finance and non-finance with experience in any programming language.

Requirements:
  • Experience with low-level systems programming and optimisation, and working on network applications that require extremely low latency and high throughput
  • Good understanding of, and ability to improve application performance through hardware performance counters and other profiling tools
  • Thorough understanding of modern computer architecture
  • Outstanding communication skills, with fluency in English a must-have
  • Experience with fast-packet processing in user space and common kernel-bypass implementations (e.g. Solarflare OpenOnload, TCPDirect, etc.)
  • Experience working around the performance challenges of languages with managed runtime (such as Java or C#) and familiarity with a typed functional language
Benefits and Incentives:
  • Substantial and varied range of project work
  • Market-leading compensation
  • Exciting and enjoyable company culture, including relaxed dress code, huge emphasis on work-life balance, learning outside of the workplace
  • Collaborative and innovative environment where each person has the opportunity to make a significant impact
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Contact Detail:

Oxford Knight Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Low-Latency Engineer

✨Tip Number 1

Familiarise yourself with the latest trends in low-latency systems and network applications. Being able to discuss recent advancements or challenges in this area during your interview will show your passion and expertise.

✨Tip Number 2

Connect with current employees on professional networking sites. Engaging with them can provide insights into the company culture and the specific challenges they face, which you can address in your discussions.

✨Tip Number 3

Prepare to demonstrate your problem-solving skills through practical examples. Be ready to discuss how you've tackled performance issues in past projects, especially those involving low-level systems programming.

✨Tip Number 4

Brush up on your knowledge of hardware performance counters and profiling tools. Being able to articulate how you've used these tools to optimise application performance will set you apart from other candidates.

We think you need these skills to ace Low-Latency Engineer

Low-Level Systems Programming
Optimisation Techniques
Network Application Development
Performance Profiling Tools
Hardware Performance Counters
Modern Computer Architecture
Fast-Packet Processing
Kernel-Bypass Implementations
Experience with Managed Runtime Languages
Fluency in English
Outstanding Communication Skills
Collaboration with Quant Researchers
Understanding of Functional Programming Languages

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights your experience with low-level systems programming and optimisation. Include specific projects or roles where you improved application performance, especially in high-performance environments.

Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention your understanding of modern computer architecture and how your skills align with their needs, particularly in low-latency systems.

Showcase Relevant Skills: Clearly outline your experience with fast-packet processing and any kernel-bypass implementations you've worked with. If you have experience with profiling tools, make sure to mention that as well.

Highlight Communication Skills: Since outstanding communication skills are essential, provide examples of how you've effectively collaborated with teams in the past. This could include working with quant researchers or developers on complex projects.

How to prepare for a job interview at Oxford Knight

✨Showcase Your Technical Skills

Be prepared to discuss your experience with low-level systems programming and optimisation. Bring examples of past projects where you successfully improved application performance, especially in low-latency environments.

✨Understand the Company’s Tech Stack

Research the specific technologies and tools used by the company, particularly those related to fast-packet processing and kernel-bypass implementations. This knowledge will demonstrate your genuine interest and help you engage in meaningful discussions during the interview.

✨Communicate Clearly

Outstanding communication skills are a must-have for this role. Practice explaining complex technical concepts in simple terms, as you may need to collaborate with quant researchers who might not have a deep technical background.

✨Prepare for Problem-Solving Questions

Expect to face technical challenges or problem-solving scenarios during the interview. Brush up on your algorithms and data structures, and be ready to think on your feet while demonstrating your approach to optimising performance in real-time applications.

Low-Latency Engineer
Oxford Knight
Location: London
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