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Site reliability engineer (sre) - crypto high-frequency trading

Slough
JR United Kingdom
Site reliability engineer
€125,000 - €150,000 a year
Posted: 10 June
Offer description

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Site Reliability Engineer (SRE) - Crypto High-Frequency Trading, Slough


Client:

Selby Jennings


Location:

Slough, United Kingdom


Job Category:

Other


EU work permit required:

Yes


Job Views:

2


Posted:

06.06.2025


Expiry Date:

21.07.2025


Job Description:

We are looking for a Site Reliability Engineer (SRE) to help design and build automation, configuration, and deployment tooling for our high-frequency trading (HFT) platform. This role ensures our trading systems remain highly available, scalable, and robust, supporting a fast-paced environment.


Responsibilities:

* Develop scalable tools for automation, deployment, and infrastructure management.
* Enhance system performance, reliability, and efficiency through automation.
* Manage AWS infrastructure, ensuring smooth configuration and deployment.
* Implement observability tools for monitoring and debugging.
* Ensure fault tolerance, redundancy, and high availability of trading systems.
* Support infrastructure for C++ and Rust-based trading systems, ensuring seamless integration.


Qualifications:

* Strong programming skills in Python; ability to read C/C++ code.
* Expertise in Linux systems and performance tuning.
* Experience with AWS or on-premise deployment and configuration.
* Proficiency in monitoring, logging, and alerting solutions.
* Understanding of networking fundamentals, including TCP/IP and system optimization.
* Experience with scripting languages such as Python or Bash.


Nice to Have:

* Knowledge of Infrastructure as Code (IaC) tools like Terraform or Ansible.
* Experience in low-latency or high-performance environments.
* Proactive problem-solving skills and team collaboration.

We seek talented engineers passionate about automation and reliability, thriving in a high-performance environment, working across development, trading, and infrastructure teams to optimize system performance.

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