Elastic Stack Engineer Kafka & Linux - ARGYLL SCOTT CONSULTING PTE. LTD.

Polluxa, Inc.; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Polluxa, Inc. in Singapore is seeking an experienced Elastic Stack Engineer to manage a large-scale production platform, focusing on reliability, performance, and scalability.

You will build automation, maintain Kafka and Linux environments, and contribute to CI/CD pipelines while delivering hands-on production support across virtual and physical infra.

Qualifications

• 4+ years of hands-on experience with Elastic Stack, Kafka, Linux administration and automation.
• Experience building and maintaining production-grade data platforms.
• Strong scripting (Python or Bash) and automation skills.
• Familiarity with CI/CD practices and infrastructure as code.

Responsibilities

• Manage and support production-grade Elastic Stack environments (Elasticsearch, Logstash, Kibana).
• Design, develop, and implement automation to improve platform reliability and scalability.
• Administer Linux environments (RHEL/Ubuntu) and troubleshoot production issues.
• Manage Kafka environments and integrations.
• Develop scripts and automation with Python and/or Bash.
• Build and maintain automation workflows using Ansible or equivalents.
• Support and enhance CI/CD pipelines and DevOps practices.
• Perform production support, root-cause analysis and issue resolution across infra.

Skills

Elastic Stack

Kafka

Linux Administration

Python

Bash

CI/CD

Automation

Ansible

Tools

Ansible

Job description

• Job Title: Elastic Stack Engineer
• Location: Singapore
• Contract Duration: 12 Months (Extendable)
• Start Date: ASAP
• Experience Required: 4+ years of relevant hands-on experience

Role Overview

We are looking for an experienced Elastic Stack / DevOps Engineer to manage, maintain, automate, and support a large-scale production platform environment.

This is a highly hands-on technical role requiring strong experience in the Elastic Stack, Kafka, Linux administration, scripting, and automation . The successful candidate will be responsible for ensuring the reliability, performance, scalability, and operational stability of the platform.

This role is not suitable for SOC Analysts or monitoring-focused professionals , as the primary focus is on platform engineering, automation, coding, and production support.

Key Responsibilities

• Manage and support production-grade Elastic Stack environments, including ingestion, indexing, monitoring, analytics, and platform maintenance.
• Design, develop, and implement automation solutions to improve platform reliability, operational efficiency, and scalability.
• Provide hands-on administration and troubleshooting support across Linux environments, including RHEL and Ubuntu.
• Manage and support Kafka environments and associated integrations.
• Develop and maintain scripts and automation solutions using Python and/or Bash.
• Build and maintain automation and orchestration workflows using Ansible or equivalent tools.
• Support and enhance CI/CD pipelines and DevOps practices.
• Perform production support, troubleshooting, root cause analysis, and issue resolution across complex infrastructure environments.
• Work across both virtual and physical infrastructure environments.
• Identify opportunities to improve automation, platform stability, monitoring capabilities, and operational processes.
• Take ownership of technical issues and work independently to manage priorities and deliver solutions.

Required Technical Skills

Candidates must have strong production experience across the following technologies:

• Elastic Stack - Mandatory
• Elasticsearch
• Logstash / data ingestion
• Kibana
• Indexing and analytics
• Monitoring and production support
• Kafka - Strong hands-on experience
• Linux Administration
• RHEL
• Ubuntu
• Programming / Scripting
• Python and/or Bash
• Minimum 2 years of hands-on scripting or programming experience
• Automation and DevOps
• Ansible or equivalent automation/orchestration tools
• CI/CD pipelines
• Infrastructure and platform automation
• Proven experience supporting and troubleshooting production environments , including both virtual and physical infrastructure.