At a Glance
- Tasks: Design and implement cutting-edge network solutions for high-performance trading.
- Company: Elite trading firm with a focus on ML/AI-driven technology.
- Benefits: Competitive salary, dynamic team environment, and opportunities for rapid career growth.
- Other info: Collaborate with top talent in a fast-paced, innovative culture.
- Why this job: Join a small team making a big impact in the world of finance and technology.
- Qualifications: CCIE-level skills in networking, Linux, and experience with Kubernetes.
The ideal candidate comes from a top-tier tech environment (FAANG, elite trading, or hyperscale infrastructure). They have experience building networks from 0 to 1 and are comfortable operating across everything from bare-metal Linux to modern build, observability, and automation stacks. This role sits at the intersection of advanced networking, large-scale ML/AI platforms, and high-end automation.
This elite trading firm is seeking a Network Engineer to join a small, high-impact engineering group supporting ML/AI-driven trading and research. You will work closely with teams running massive simulation, HPC, and network production workloads that depend on ultra-reliable, ultra-fast network platforms. You will own critical network infrastructure at scale and help shape the next generation of compute systems.
Key Responsibilities- Own the full life cycle of network engineering: design, implementation, and ongoing operations for latency-sensitive and throughput-heavy environments.
- Support large, distributed networks with expert knowledge of routing, switching, and multicast concepts, ensuring predictable performance under extreme load.
- Build and evolve network monitoring, alerting, and observability, integrating telemetry into operational and analytical data stores to support ML/AI and systematic strategies.
- Manage and optimise Kubernetes cluster networking and container orchestration, partnering with platform and ML infrastructure teams.
- Work extensively on the Linux command line, contributing to automation, tooling, and production-grade reliability across bare-metal and virtualised estates.
- Collaborate with DevOps and SRE functions to drive infrastructure-as-code, repeatable deployments, and highly automated change management.
- Low-latency network paths supporting execution, research, and large-scale ML/AI training and inference.
- In-house proprietary platforms spanning fibre and microwave networks, dense data centre fabrics, and high-performance interconnects.
- Platform, configuration, and code contributions that directly improve end-to-end latency, throughput, and reliability for critical trading and ML workloads.
- Automation frameworks that reduce operational toil, increase determinism, and provide deep, real-time visibility into network and system behaviour.
- Small, highly skilled networks and systems engineering team with broad autonomy and a mandate to move quickly.
- Close collaboration with quants, researchers, ML engineers, and traders to co-design infrastructure around real performance needs.
- A culture centred on ownership, deep problem-solving, and performance engineering, where data-driven decisions and high-quality automation are the default.
Interested candidates are encouraged to apply for a confidential conversation.
Network Engineer in City of London employer: Autonomai Recruitment
This elite trading firm in London offers an exceptional work environment for Network Engineers, characterised by a culture of ownership and high-performance engineering. Employees benefit from working alongside top-tier professionals in a small, agile team that fosters collaboration and innovation, while also providing ample opportunities for personal and professional growth in cutting-edge technologies like ML/AI and automation. With a focus on data-driven decision-making and a commitment to excellence, this company stands out as a premier employer for those seeking meaningful and rewarding careers in the tech industry.
StudySmarter Expert Advice🤫
We think this is how you could land Network Engineer in City of London
✨Tip Number 1
Network with industry professionals! Attend meetups, conferences, or online webinars related to networking and tech. This is a great way to get your name out there and learn about job openings before they’re even advertised.
✨Tip Number 2
Show off your skills in real-time! Consider contributing to open-source projects or creating your own GitHub repositories. This not only demonstrates your expertise but also gives potential employers a glimpse of what you can do.
✨Tip Number 3
Prepare for technical interviews by practising common networking scenarios and problems. Use platforms like StudySmarter to brush up on your knowledge and get comfortable with the types of questions you might face.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got a streamlined process that makes it easy for you to showcase your skills and experience directly to us. Plus, it shows you’re serious about joining our team!
We think you need these skills to ace Network Engineer in City of London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your CCIE-level routing/switching skills and any relevant experience in Linux, scripting, and DevOps. 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 network engineering and how your experience in high-performance environments makes you a perfect fit for us. Keep it concise but impactful!
Showcase Your Projects:If you've built networks from scratch or worked on automation frameworks, make sure to mention these projects in your application. We love seeing real-world examples of your work that demonstrate your skills and problem-solving abilities.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Autonomai Recruitment
✨Know Your Tech Inside Out
Make sure you’re well-versed in CCIE-level routing and switching, as well as Linux and scripting. Brush up on your knowledge of Kubernetes and DevOps practices, as these will likely come up during the interview. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar but truly capable.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in network engineering, especially in high-pressure environments. Think about how you’ve built networks from scratch or optimised existing ones. Use examples that highlight your ability to think critically and solve complex problems, particularly in latency-sensitive scenarios.
✨Understand the Company’s Needs
Research the firm’s focus on ML/AI-driven trading and their infrastructure requirements. Be ready to explain how your skills can directly contribute to their goals, such as improving end-to-end latency and throughput. Tailoring your responses to align with their objectives will demonstrate your genuine interest in the role.
✨Emphasise Collaboration and Autonomy
This role involves working closely with various teams, so be prepared to discuss your experience collaborating with quants, researchers, and other engineers. Highlight instances where you took ownership of projects and how you contributed to a team environment. Showing that you thrive in a collaborative yet autonomous setting will resonate well with the interviewers.
