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