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- Tasks: Join our team to optimize and maintain high-frequency crypto trading systems on AWS.
- Company: Hudson River Trading is a leading firm in low-latency trading technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and innovation.
- Why this job: Be part of a cutting-edge team that impacts global trading 24/7.
- Qualifications: Bachelor's degree in Computer Science or related field; deep Linux and AWS experience required.
- Other info: Ideal for tech-savvy individuals passionate about finance and cloud architecture.
The predicted salary is between 48000 - 84000 £ per year.
Hudson River Trading (HRT) is seeking a senior Systems Engineer with deep Linux expertise and AWS skills to join our Trading Systems Infrastructure team. We build and maintain trading infrastructure hyper-optimized for low-latency, starting from the bare metal, both on-premise and in the cloud. Our trading strategies run worldwide 24/7.
In this critical role, you will work in a solutions architecture capacity focusing on AWS, delivering scalable, secure, and reliable solutions on our AWS Linux crypto trading platform.
Responsibilities:
- Own, standardize, and implement the technical requirements of high-frequency crypto trading systems in the AWS cloud based on business needs for performance and reliability
- Optimize bare metal performance, both on-premise and in cloud environments, with a strong emphasis on Linux systems
- Integrate seamlessly with existing systems on-premise and in the cloud
- Develop automation scripts and tools using Python to support this effort
- Utilize Terraform and Salt (we are committed to IaC) to ensure platform consistency and scalability
- Explore and apply network latency optimization techniques
- Collaborate and support internal teams throughout the implementation process
Qualifications:
- Bachelor’s degree in Computer Science, Engineering, or a related field
- Required to have proven deep experience as a Solutions Architect or Cloud SRE with a focus on AWS, preferably in a high-frequency trading environment or performance-focused role
- Required to have proven deep experience in Linux system administration and system engineering, with a strong understanding of Linux internals
- Proficiency in Python programming for automation and scripting tasks
- Strong experience with Terraform and Salt (or equivalent tooling) for convergent infrastructure provisioning and configuration management
- Extensive experience in managing hardware components
- Strong AWS and on-premise application-side networking experience
- Excellent communication skills are essential for success in this role
Pluses:
- Proven experience with AWS internals
- AWS certification(s) such as AWS Certified Solutions Architect
- Strong knowledge of other cloud platforms such as Google Cloud Platform or Microsoft Azure
- Prior experience as a Linux Systems Administrator
- Deep understanding of financial markets and trading systems
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Systems Engineer - Cloud Architecture employer: Hudson River Trading
Contact Detail:
Hudson River Trading Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Systems Engineer - Cloud Architecture
✨Tip Number 1
Make sure to showcase your deep Linux expertise and AWS skills in your conversations. Highlight specific projects where you've optimized performance in cloud environments, especially in high-frequency trading.
✨Tip Number 2
Familiarize yourself with the latest trends in low-latency trading systems. Being able to discuss current technologies and techniques for network latency optimization will set you apart during interviews.
✨Tip Number 3
Prepare to demonstrate your proficiency in Python and automation tools like Terraform and Salt. Be ready to discuss how you've used these tools to improve system reliability and scalability in past roles.
✨Tip Number 4
Network with professionals in the trading and cloud engineering space. Engaging with others in the industry can provide insights and potentially lead to referrals that could help you land the job.
We think you need these skills to ace Systems Engineer - Cloud Architecture
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your deep Linux expertise and AWS skills in your application. Provide specific examples of your experience as a Solutions Architect or Cloud SRE, especially in high-frequency trading environments.
Showcase Technical Skills: Detail your proficiency in Python programming, Terraform, and Salt. Mention any automation scripts or tools you have developed, as well as your experience with network latency optimization techniques.
Tailor Your Resume: Customize your resume to align with the job description. Use keywords from the posting, such as 'cloud architecture', 'low-latency trading systems', and 'infrastructure as code' to ensure your application stands out.
Craft a Strong Cover Letter: Write a compelling cover letter that explains why you are a great fit for Hudson River Trading. Discuss your passion for trading systems and how your background aligns with their needs for scalable and reliable solutions.
How to prepare for a job interview at Hudson River Trading
✨Showcase Your Linux Expertise
Make sure to highlight your deep understanding of Linux internals during the interview. Be prepared to discuss specific challenges you've faced and how you optimized performance in both on-premise and cloud environments.
✨Demonstrate AWS Knowledge
Since the role focuses heavily on AWS, be ready to talk about your experience with AWS services, especially in a high-frequency trading context. Mention any relevant AWS certifications you hold, as they can set you apart from other candidates.
✨Discuss Automation Skills
Prepare to explain how you've used Python for automation and scripting tasks. Share examples of tools or scripts you've developed that improved efficiency or reliability in previous roles, particularly in relation to trading systems.
✨Emphasize Collaboration and Communication
This role requires working closely with internal teams, so be sure to convey your communication skills. Provide examples of how you've successfully collaborated on projects, especially in fast-paced environments like trading systems.
