DevOps Engineer

Europe, United Kingdom, London, United States, New York
Permanent
Job ID: 2251

Job Description

[c. £200-250k Comp Package (or equivalent) | Flexible Working Options - On-Site Preference]

Do you thrive in fast-moving environments where cloud automation, scalability, and reliability are key? Our client, a high-growth trading firm spun out from a leading HFT business, is looking for a DevOps Engineer to scale and optimise its AWS-based trading infrastructure. Operating at the forefront of market-making and venture capital within the digital asset space, they are seeking someone who can enhance system performance, automate cloud deployments, and support low-latency trading operations. This is an opportunity to work alongside top engineers and quantitative traders, solving complex infrastructure challenges in a high-impact role...


Key Responsibilities

  • Manage and optimise a low-latency, cloud-based trading infrastructure, ensuring seamless performance across AWS environments
  • Automate infrastructure deployment and operational processes using Terraform, Ansible, and Kubernetes
  • Monitor, troubleshoot, and resolve real-time production issues affecting trading systems, leveraging cloud-native observability tools
  • Enhance system scalability, security, and reliability through advanced AWS solutions, including EC2, Lambda, S3, and VPC networking
  • Support CI/CD pipelines, ensuring rapid and reliable software deployments
  • Collaborate closely with traders, software engineers, and researchers to improve system efficiency and execution speed
  • Develop infrastructure as code (IaC) solutions to manage cloud-based workloads efficiently
  • Participate in an on-call rotation, providing critical support for AWS and hybrid cloud production systems


What You Bring...

  • 3+ years of experience in DevOps, SRE, or cloud infrastructure engineering, ideally in trading or financial markets
  • Hands-on experience with AWS services (EC2, Lambda, S3, IAM, VPC, RDS) and cloud networking
  • Strong background in Linux systems administration, with expertise in performance tuning and debugging
  • Experience automating infrastructure using Terraform, Ansible, and Python
  • Exposure to real-time monitoring, logging, and alerting tools (CloudWatch, Prometheus, Grafana)
  • Solid understanding of networking protocols (TCP/IP, UDP, multicast) in performance-critical environments
  • (Preferred) Experience with container orchestration (Docker, Kubernetes) and CI/CD pipelines


...


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