Senior SRE / Platform Engineer - AI Platform

I’m currently working with a leading organisation that is looking for an experienced Senior SRE / Platform Engineer to join their team on an initial contract basis.

This is an excellent opportunity for someone with a strong SRE, DevOps or Platform Engineering background who has experience supporting modern software platforms and, ideally, working with AI/LLM platforms such as OpenAI or Anthropic.

The role

You’ll be responsible for ensuring the organisation’s platforms are reliable, scalable, automated, secure and cost-effective.

The role sits across SRE, DevOps, software engineering and cloud infrastructure, with a strong focus on automation, CI/CD, observability and supporting AI-enabled platforms., * Supporting and maintaining production platforms and services in a BAU/SRE environment

• Building and managing CI/CD pipelines and deployment orchestration
• Implementing infrastructure and automation using Terraform
• Working with APIs and API gateways, including technologies such as Kong
• Supporting and administering AI platforms, including OpenAI, Anthropic or similar services
• Managing and monitoring API/token usage
• Implementing observability and monitoring using tools such as Datadog
• Working with message queuing and distributed systems
• Supporting software deployment and understanding application architecture
• Reviewing code and maintaining software repositories
• Implementing and maintaining zone-based architecture and networking
• Improving platform reliability, scalability and performance
• Managing infrastructure capacity and optimising cloud/platform costs
• Working closely with Software Engineering, DevOps, Security and Architecture teams

We’re looking for someone with a strong background in SRE, Platform Engineering, DevOps or DevSecOps, with experience across:

• SRE / Site Reliability Engineering
• DevOps / DevSecOps practices
• Terraform / Infrastructure as Code
• API configuration and API gateways
• Cloud infrastructure and networking
• Automation and orchestration
• Observability tooling - ideally Datadog
• Software engineering/deployment principles
• Repository and code management
• Infrastructure and application architecture
• Cost, capacity and performance optimisation

Experience with OpenAI, Anthropic, LLMs or other AI platforms would be highly advantageous.