Site Reliability Engineer (SRE)

Astek

Santo Niño 1st

On-site

PHP 1,100,000 - 1,900,000

Full time

3 days ago

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Job summary

Astek is seeking an experienced Production Support / Site Reliability Engineer (SRE) to support mission-critical, business-facing applications in cloud and containerised environments.

You will own incident triage, resolve complex issues across Linux/Unix, Kubernetes, and cloud stacks, and automate with Bash, scripts, and IaC tools.

The role requires a CS/IT degree, 5+ years of production or SRE experience, strong collaboration with stakeholders, and familiarity with Agentic AI use cases.

Qualifications

Degree in Computer Science, Information Technology, or related discipline.
At least 5 years of experience in Production/Application Support or SRE.
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 AutoSys, Datadog, and Terraform.
Strong troubleshooting across application and infrastructure layers.
Experience with incident and problem management.
Strong analytical, communication, and stakeholder management skills.
Exposure to Agentic AI technologies and AI-enabled operational use cases.

Responsibilities

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

Skills

Analytical skills

Communication

Stakeholder management

Incident management

Troubleshooting

Automation mindset

Education

Bachelor's degree in Computer Science or Information Technology

Tools

Control-M

Unix/Linux

Bash

Shell scripting

AWS

Azure

Kubernetes

AutoSys

Datadog

Terraform

Job description

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.