About the Role This DevOps Engineer position sits within a leading technology team that underpins one of the most advanced hedge fund environments in the industry. The team is responsible for designing and operating high-performance DevOps systems that support quantitative research and trading strategies. Their work spans DevOps practices, including cloud infrastructure, container orchestration, CI/CD automation, and observability, ensuring reliability and scalability for mission-critical platforms. The environment is fast-paced, highly collaborative, and focused on precision, innovation, and technical excellence. As a DevOps Engineer, you will be central to delivering automation, resilience, and efficiency across the organisation's technology stack. What You'll Do as a DevOps Engineer As a DevOps Engineer in this organisation, you will take ownership of production DevOps support and help developers by maintaining scalable, secure non-production environments. Your work will span cloud infrastructure, container orchestration, CI/CD pipelines, and observability. Build and manage CI/CD pipelines using TeamCity, integrated with Bitbucket and Atlassian tools. Deploy and operate Docker containers and Kubernetes clusters. Work with Azure Cloud (primarily non-production) and assist with migration to Linux-based systems. Implement and maintain monitoring and observability using the ELK stack. Collaborate with DBAs and Data Engineers to ensure system reliability and performance. Drive automation-first practices (Infrastructure as Code, scripting, repeatable environments). What We're Looking For Minimum 3 As at A-level (or equivalent high academic achievement). Strong experience with DevOps tools and practices, including Kubernetes and Docker in production environments. Proven track record with CI/CD tools (TeamCity or similar) and Bitbucket/Atlassian integration. Solid Azure Cloud knowledge and Linux administration experience. Expertise in ELK stack for monitoring and alerting. Scripting and automation skills (e.g., Bash, Python, Terraform, Ansible). Excellent troubleshooting and performance tuning skills in distributed systems.