{ “@context”: “http://schema.org”, “@type”: “JobPosting”, “title”: “Platform / SRE Engineer”, “description”: “
Role Title: Platform / SRE Engineer
Location: Sheffield (3 days a week onsite is mandatory)
Duration: 30/11/2026
Rate: 525p/d via Umbrella
Role Description:
Own deployment, observability, reliability, cost control, and production operations for the AI helpdesk platform.
Key responsibilities
- Build and manage CI/CD pipelines, infrastructure, and runtime environments for AI services.
- Deploy and operate model-serving, orchestration, and application workloads.
- Implement monitoring, tracing, alerting, logging, and operational dashboards.
- Manage scaling, release processes, rollback mechanisms, and production support.
- Optimize inference cost, latency, uptime, and system reliability.
- Create runbooks, incident response processes, and operational standards.
Required skills
- Strong experience in DevOps, SRE.
- Experience with Docker, Kubernetes, cloud platforms, and infrastructure as code.
- Experience with monitoring and observability tools.
- Familiarity with CI/CD, release automation, secrets management, and production support.
- Understanding of LLM deployment patterns and API-based model integration.
- Experience with cloud, particularly AWS.
- Jira, Confluence, ServiceNow experience
Preferred
- Experience supporting AI/ML workloads in production.
- Experience with GPU workloads, autoscaling, and cost optimization.
Company: Experis – ManpowerGroup
Location: Sheffield
Job Description:
Role Title: Platform / SRE EngineerLocation: Sheffield (3 days a week onsite is mandatory)Duration: 30/11/2026Rate: 525p/d via UmbrellaRole Description:
Own deployment, observability, reliability, cost control, and production operations for the AI helpdesk platform.
Key responsibilities
- Build and manage CI/CD pipelines, infrastructure, and runtime environments for AI services.
- Deploy and operate model-serving, orchestration, and application workloads.
- Implement monitoring, tracing, alerting, logging, and operational dashboards.
- Manage scaling, release processes, rollback mechanisms, and production support.
- Optimize inference cost, latency, uptime, and system reliability.
- Create runbooks, incident response processes, and operational standards.
Required skills
- Strong experience in DevOps, SRE.
- Experience with Docker, Kubernetes, cloud platforms, and infrastructure as code.
- Experience with monitoring and observability tools.
- Familiarity with CI/CD, release automation, secrets management, and production support.
- Understanding of LLM deployment patterns and API-based model integration.
- Experience with cloud, particularly AWS.
- Jira, Confluence, ServiceNow experience
Preferred
- Experience supporting AI/ML workloads in production.
- Experience with GPU workloads, autoscaling, and cost optimization.
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Posted: May 12th, 2026