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- Tasks: Ensure reliability and performance of trading systems while solving complex problems.
- Company: Join a top-tier Quant Hedge Fund known for innovation in Data & Technology.
- Benefits: Competitive pay, four-day work week, and opportunities for career growth.
- Why this job: Make a real impact in a high-stakes environment with cutting-edge technology.
- Qualifications: Strong software engineering skills, especially in Python, and experience with observability tools.
- Other info: Dynamic team culture with a focus on collaboration and accountability.
The predicted salary is between 72000 - 108000 £ per year.
Low Latency Trading & Observability SRE / Platform Engineer / Production Engineer sought to join an elite Multi-Strategy Quant Hedge Fund with $40BN+ in Assets Under Management. Our client is one of the world’s top Hedge Funds who are especially renowned for innovation and investment in Data & Technology. They are now looking to recruit a Low Latency Trading & Observability SRE / Platform Engineer / Production Engineer into their core Production Engineering team, who are accountable for the reliability, operability and performance of the firm’s trading-critical systems, in an environment where availability, correctness and latency directly impact outcomes.
The successful hire will own the reliability of business-critical systems, from observability design through to incident resolution and systemic improvement; lead high-severity incident management; and reduce toil with software engineering, primarily in Python but also with Golang, TypeScript, SQL and/or PowerShell. The role requires someone who can evidence outstanding problem-solving and the ability to solve problems on their own initiative.
Requirements:
- Debugging distributed systems: operating, improving and scaling complex systems in high-availability environments.
- SRE fundamentals: SLO/SLI thinking, observability, incident leadership, and a bias for systemic platform fixes.
- Strong software engineering skills: high proficiency in at least one modern programming language (Python preferred).
- Modern open-source observability knowledge: Experience within the ecosystem (e.g. OpenTelemetry, LGTM stack, Prometheus, Grafana, Loki).
- Unsiloed cross-platform operator: Confidence taming complex technical landscapes spanning multiple languages, platforms and data systems i.e. Linux, Cloud, Kubernetes, Windows.
- Strong communication skills: able to explain technical issues and trade-offs to non-experts under time pressure.
- Relationship-driven mindset with high accountability: builds trust, aligns stakeholders, and takes end-to-end ownership for results.
This is an outstanding opportunity for a talented Low Latency Trading & Observability SRE / Platform Engineer / Production Engineer to forge a long-term career in one of the world’s top Quantitative Hedge Funds, operating in a demanding, highly-visible, and state-of-the-art technical environment. Our client operates a four-day-per-week onsite policy located from London SW1. Compensation is commensurate with attracting, motivating and retaining the absolute best-in-class engineering talent, with an industry-leading record of long-term employment and tenure.
Observability Platform Engineer - Elite Quant Hedge Fund in London employer: Winston Fox
Contact Detail:
Winston Fox Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Observability Platform Engineer - Elite Quant Hedge Fund in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at hedge funds or in observability roles. Use platforms like LinkedIn to connect and engage with them; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Python, Golang, or any observability tools. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SRE fundamentals and problem-solving skills. Practice explaining complex concepts in simple terms, as communication is key in high-pressure situations. Mock interviews can be a great way to get comfortable!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets the attention it deserves. Let’s get you that job!
We think you need these skills to ace Observability Platform Engineer - Elite Quant Hedge Fund in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Observability Platform Engineer. Highlight your experience with low latency trading systems, observability tools, and any relevant programming languages like Python or Golang. We want to see how your skills align with what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background makes you a perfect fit. Don’t forget to mention your problem-solving skills and experience in high-availability environments – we love that stuff!
Showcase Your Technical Skills: In your application, be sure to showcase your technical skills clearly. Mention specific projects where you've debugged distributed systems or led incident management. We’re keen on seeing your hands-on experience with observability tools like Prometheus or Grafana.
Apply Through Our Website: We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to submit all your materials in one go. Plus, it helps us keep track of your application better!
How to prepare for a job interview at Winston Fox
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, especially Python and observability tools like Prometheus and Grafana. Brush up on your debugging skills for distributed systems, as you'll likely be asked to solve real-world problems during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex issues in high-availability environments. Use the STAR method (Situation, Task, Action, Result) to structure your answers and demonstrate your ability to think critically under pressure.
✨Communicate Clearly and Confidently
Since strong communication skills are crucial, practice explaining technical concepts in simple terms. You might need to convey complex ideas to non-experts, so being clear and concise will set you apart from other candidates.
✨Demonstrate a Relationship-Driven Mindset
Be ready to discuss how you've built trust and aligned stakeholders in previous roles. Highlight your accountability and ownership of results, as this mindset is key for success in a collaborative environment like a hedge fund.