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Cloud Performance Engineer

DRW
🇬🇧LondonMediorFull-timePosted August 19, 2026

About the Role

Join DRW's Cloud Performance Team as a Cloud Performance Engineer to design and optimize high-performance cloud solutions for latency-sensitive trading workloads. You will work alongside cloud engineers, software developers, Linux, and network engineers to build scalable hybrid cloud architectures and monitoring systems.

  • Design and implement cloud and hybrid cloud architectures for latency-sensitive trading workloads
  • Build and maintain systems that continuously monitor latency characteristics of distributed hybrid workloads
  • Work on orchestration tooling for provisioning cloud resources, networking configurations, and server-side processes
  • Build backend systems for collecting performance metrics and tooling to query it

Requirements

  • 4+ years of experience working with Amazon Web Services (AWS), with deep knowledge of networking and compute services (EC2, VPC, Direct Connect); good overview of the AWS service landscape and core concepts such as IAM
  • Experience in using IaC tools such as Terraform to manage both cloud infrastructure and a broad set of compute and networking resources (docker, K8s, Cisco devices)
  • Experience in network fundamentals (DNS, DHCP, TCP/IP, routing, switching, HTTP) and major routing protocols
  • Solid understanding of Linux systems and the Linux network stack
  • Strong background in automation via Bash scripting and Python programming, ideally in conjunction with orchestration through serverless cloud services
  • Demonstratable experience working with modern AI coding agents, balancing rapid prototyping with critical review to ensure simplicity and quality of deliverables
  • Able to implement systems with a security-first mindset, adhering to firm-wide security policies, and best practice implementations
  • Strong problem-solving skills and the ability to independently drive work to completion
  • Strong communication skills and ability to collaborate across teams
  • Experience building data pipelines for centralizing structured data
  • Experience working with Cisco routing and switching hardware
  • Experience working with Google Cloud Platform
  • Experience programming in a compiled languages (preferably Go or C++)
  • Experience with Linux kernel bypass techniques such as DPDK