Location: Sheffield, UK (3 days onsite per week mandatory)
Rate: £500/day (Inside IR35)
Contract Duration: 6 Month

About the Role

We are looking for an experienced Platform/Site Reliability Engineer (SRE) to support the build, deployment, and production operations of a large-scale AI-powered enterprise platform within a regulated industry environment.

This role focuses on ensuring the reliability, scalability, performance, and cost efficiency of production systems supporting AI-driven applications and services.

Key Responsibilities

• Own deployment, observability, reliability, and production operations for AI services
• Build and manage CI/CD pipelines, infrastructure, and runtime environments
• Deploy and operate model-serving, orchestration, and application workloads
• Implement monitoring, logging, tracing, alerting, and operational dashboards
• Manage scaling strategies, release processes, rollback mechanisms, and incident response
• Optimise inference cost, latency, uptime, and overall system reliability
• Develop runbooks, operational standards, and production support processes

Required Skills & Experience

• Strong experience in DevOps/Site Reliability Engineering (SRE) roles
• Hands-on experience with Docker, Kubernetes, and Infrastructure as Code
• Strong knowledge of cloud platforms (AWS preferred)
• Experience with monitoring and observability tools
• CI/CD pipelines, release automation, secrets management, and production support
• Understanding of LLM deployment patterns and API-based model integration
• Experience working with enterprise tools such as Jira, Confluence, ServiceNow

Preferred Experience

• Supporting AI/ML workloads in production environments
• Experience with GPU workloads, autoscaling, and cost optimisation
• Experience working in large enterprise or regulated environments