Site Reliability Engineer

Astek; Singapore; On-site; SGD 110,000 - 150,000; Full time

Job summary

Astek is seeking an experienced Production Support / Site Reliability Engineer (SRE) in Singapore. You will deliver hands-on production operations, incident resolution, and reliability improvements for business-facing applications in modern cloud and containerised environments.

The role requires 5+ years in production support or SRE, strong Linux/Unix and scripting skills, and experience with Kubernetes, AWS/Azure, and infra tools.

Qualifications

• Degree in Computer Science, Information Technology or related discipline.
• 5+ years in Production/Application Support or SRE.
• Hands-on support for business-facing applications and users.
• Proficiency in Linux/Unix, Bash, Shell scripting, and cloud tech.

Responsibilities

• Provide day-to-day production and application support for mission-critical systems.
• Investigate and resolve complex application and infrastructure issues.
• Manage incident triage, incident management, problem management, and root cause analysis.
• Monitor health, performance, and scheduled workloads to ensure reliability.
• Troubleshoot across Linux/Unix, cloud, containerised, and application environments.
• Develop and maintain Bash/Shell scripts to support automation.
• Collaborate with business users and engineering teams to resolve issues and minimize disruption.
• Identify opportunities to improve reliability, monitoring, and operational processes.

Skills

Production Support

Site Reliability

Linux/Unix

Bash/Shell

Kubernetes

AWS

Azure

Terraform

Datadog

AutoSys

Control-M

Incident Management

Problem Management

Agentic AI

Stakeholder Mgmt

Education

Degree in Computer Science, Information Technology

Tools

Control-M

Datadog

Terraform

AutoSys

Kubernetes

AWS

Azure

Job description

ASTEK is a multi-national technology and engineering consulting firm based in France. They have been around for over 30 years with a community of more than 7200 experts empowering clients in 22 countries throughout Europe, APAC, Middle East and the Americas.

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 analytic, 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