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Astek

Singapore / Global

Site Reliability Engineer

Job Description

Company Summary

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 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

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