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