At a Glance
- Tasks: Manage and optimise high-frequency trading systems for peak performance.
- Company: Dynamic trading firm focused on innovation and technology.
- Benefits: Competitive salary, flexible hours, and opportunities for professional growth.
- Other info: Exciting chance to work with cutting-edge technologies in finance.
- Why this job: Join a fast-paced environment where every millisecond matters in trading.
- Qualifications: Experience in DevOps, automation, and container orchestration required.
The predicted salary is between 63000 - 77000 £ per year.
Every millisecond counts when trading at scale. We are seeking a talented Production DevOps Engineer to take ownership of our mission-critical trading environments. In this role, you will bridge the gap between development and operations, ensuring our high-frequency trading platforms, data pipelines, and production systems maintain peak performance, absolute stability, and continuous availability.
Key Responsibilities
- Manage Production Environments: Oversee the deployment, maintenance, and monitoring of our low-latency, high-throughput production trading systems.
- Automate Infrastructure & Pipelines: Build and optimize continuous integration and deployment (CI/CD) pipelines to enable rapid, safe releases of trading software.
- Optimize System Performance: Continuously analyze and fine-tune system latency, network configurations, and resource utilization to maintain a competitive market edge.
- Incident Response & Reliability: Lead root-cause analyses for production incidents, implement automated self-healing mechanisms, and participate in an on-call rotation.
- Drive Infrastructure as Code (IaC): Architect, provision, and maintain immutable infrastructure using modern configuration management tools.
Required Skills & Experience
- Proven DevOps Expertise: Strong track record as a DevOps, Site Reliability, or Systems Engineer supporting high-availability production environments.
- Trading or Financial Services Background: Demonstrated experience supporting real-time, mission-critical systems within a trading firm, hedge fund, or investment bank.
- Advanced Automation & Scripting: Mastery of Python, Bash, or Go for system automation, tooling development, and process optimization.
- Containerization & Orchestration: Deep practical experience with Docker, Kubernetes, and managing containerized applications in production.
- Linux Systems Mastery: Expert-level knowledge of Linux kernel tuning, system internals, networking protocols (TCP/IP, UDP), and performance troubleshooting.
Production DevOps Engineer employer: Camber Morris - Quantitative Talent
At Camber Morris, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where innovation meets collaboration. Our hybrid model fosters a culture of teamwork and flexibility, allowing our Commodity Quantitative Analysts to thrive while developing cutting-edge models that influence real-world investment strategies. With ample opportunities for professional growth and access to advanced resources, you will be empowered to make a significant impact in the fast-paced world of macro hedge funds.
Contact Details:
Camber Morris - Quantitative Talent Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Production DevOps Engineer
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We think you need these skills to ace Production DevOps Engineer
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at Camber Morris - Quantitative Talent.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Camber Morris - Quantitative Talent and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at Camber Morris - Quantitative Talent
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If Camber Morris - Quantitative Talent uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
