Site Reliability Engineer (SRE)

Production Support / Site Reliability Engineer (SRE) Role Overview We are looking for an experienced Production Support / Site Reliability Engineer (SRE) with experience in Agentic AI to support mission-critical, business-facing applications. This is a hands-on, techno-functional role covering production operations, incident resolution, system reliability, and stakeholder support across modern cloud and containerised environments. Key Responsibilities Provide day-to-day production and application support for mission-critical, business-facing systems. Investigate and resolve complex application and infrastructure issues across multiple technology layers. Manage incident triage, incident management, problem management, and root cause analysis . Monitor application health, system performance, batch processes, and scheduled workloads to maintain service reliability. Troubleshoot issues across Linux/Unix, cloud, containerised, and application environments . Develop and maintain Bash/Shell scripts to support operational activities and automation. Work closely with business users, engineering teams, and other stakeholders to resolve production issues and minimise service disruption. Identify opportunities to improve system reliability, monitoring, automation, and operational processes . Requirements Degree in Computer Science, Information Technology , or a related discipline. At least 5 years of experience in Production/Application Support or Site Reliability Engineering (SRE) . Strong hands-on experience supporting business-facing applications and users . Proficiency in Control-M, Unix/Linux, Bash, and Shell scripting . Experience with AWS and/or Azure and cloud-native environments. Hands-on experience with Kubernetes and containerised applications . Familiarity with operational and infrastructure tools such as AutoSys, Datadog, and Terraform . Strong troubleshooting skills across application and infrastructure layers. Experience with incident and problem management . Strong analytical, communication, and stakeholder management skills. Proactive, collaborative, and adaptable approach to working in fast-paced environments Exposure to Agentic AI technologies and AI-enabled operational use cases. Key Technologies Control-M | Unix/Linux | Bash/Shell | AWS | Azure | Kubernetes | AutoSys | Datadog | Terraform | Cloud-Native | Agentic AI