Eames Consulting
Senior SRE / Platform Engineer – AI Platform
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£600–£650 per day | Outside IR35 | UK-based | Contract
INTERVIEW SLOTS MONDAY 17TH AUGUST
MUST BE ABLE TO START W/C 24TH AUGUST
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.
Key responsibilities
- 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
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What we're looking for
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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
- CI/CD pipelines
- API configuration and API gateways
- Cloud infrastructure and networking
- Automation and orchestration
- Observability tooling – ideally Datadog
- Software engineering/deployment principles
- Message queuing
- 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. Familiarity with Java, React or Angular would also be beneficial.
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