Site Reliability Engineer

About This Role

Site Reliability Engineer is a chance to take real ownership in a Cardiff business on the front line of AI-era cloud operations. The role offers bleeding-edge tech, AI used responsibly, a team worth learning from, and the flexibility to do your best work. The company provides managed AI operations for technology businesses, operating, securing, and governing the cloud, observability, and AI runtime layer behind mission-critical software.

Responsibilities

• Support customers across a mix of traditional and modern cloud platforms, Azure and AWS, alongside newer AI-native application stacks and the cloud platforms behind them, such as Lovable, Vercel, and Supabase
• Work through an ongoing ticket backlog per customer, balancing reactive support with proactive improvement work
• Take the lead on triaging and resolving more complex or ambiguous incidents
• Get up to speed on client environments and the Datadog platform quickly, then work independently
• Identify improvements and either raise them or implement them directly without needing to be told
• Act as an escalation point for trickier incidents generated directly by Datadog alerts
• Deliver end-to-end build-and-run projects for managed service customers, from scoping through to live operation, with minimal oversight
• Design and implement cloud cost optimisation strategies, working through the technical dependencies that can sometimes block them
• Manage monitoring and observability infrastructure as estates grow, keeping platforms performant and well-maintained
• Build and deploy new infrastructure in Azure and AWS, including infrastructure-as-code, Datadog implementation, and APM setup, covering the full lifecycle from onboarding through go-live stabilisation
• Work hands-on and confidently with containers (ECS/EKS), EC2, and RDS instances across a range of customer environments
• Perform day-to-day configuration and troubleshooting through to cost and performance optimisation and architectural recommendations
• Extend into AWS Bedrock for customers building AI-native products
• Contribute to a growing suite of internal AI tools built to improve engineering efficiency, reduce context-switching across platforms, and modernise how cloud operations run day to day
• Help shape best practice and runbooks as the team scales

Requirements

• Multiple years of hands-on, production AWS experience, not a foundational-familiarity role
• Comfortable owning EC2, RDS, containerised workloads (ECS/EKS), IAM, and networking, and cost/performance optimisation without close supervision
• Comfortable Linux troubleshooting (CLI, logs, process/resource issues) on EC2-hosted workloads
• Demonstrable experience having worked on AWS builds (standing up new infrastructure, IaC, migrations) as well as ongoing operational/support work (troubleshooting, incident response, day-to-day maintenance)