Latency-Driven Cloud Performance Engineer

DRW; Greater London; On-site; GBP 90,000 - 130,000; Full time

Job summary

DRW, a diversified trading firm, seeks a Cloud Performance Engineer to join the Cloud Performance Team across the firm. You will design cloud/hybrid architectures for latency-sensitive trading workloads and work with AWS, Terraform, Docker and Kubernetes to optimize end-to-end performance.

The ideal candidate has strong Linux, networking, automation with Python/Bash, and a security-first mindset, able to collaborate across teams and deliver robust scalable systems.

Qualifications

• 4+ years of experience with AWS cloud services and networking.
• Strong Linux systems knowledge and TCP/IP networking.
• Proficient in Bash and Python for automation; experience with serverless/cloud orchestration.
• Experience with IaC tooling (Terraform) to manage cloud resources.
• Experience with modern AI coding agents and balancing prototyping with quality.

Responsibilities

• Design and implement cloud and hybrid cloud architectures for latency-sensitive trading workloads.
• Build and maintain systems to monitor latency of distributed hybrid workloads.
• Develop orchestration tooling for provisioning cloud resources and network configurations.
• Create back-end systems to collect performance metrics and provide querying tools.

Skills

Cloud architecture

Networking fundamentals

Linux systems

Automation scripting

Python programming

Communication skills

Security mindset

Tools

Terraform

Docker

Kubernetes

Cisco devices

AWS

Go

C++

Google Cloud Platform

DPDK

Job description

DRW, a diversified trading firm, seeks a Cloud Performance Engineer to join the Cloud Performance Team across the firm. You will design cloud/hybrid architectures for latency-sensitive trading workloads and work with AWS, Terraform, Docker and Kubernetes to optimize end-to-end performance.

The ideal candidate has strong Linux, networking, automation with Python/Bash, and a security-first mindset, able to collaborate across teams and deliver robust scalable systems.