Elastic Stack Engineer (Kafka & Linux)

Argyll Scott; Singapore; On-site; SGD 140,000 - 180,000; Full time

Job summary

Argyll Scott in Singapore seeks an experienced Elastic Stack / DevOps Engineer to manage and automate a large-scale production platform. This role focuses on platform engineering, automation, coding, and production support rather than monitoring alone.

You will own reliability, performance, and operational stability across Linux environments, including RHEL and Ubuntu, with hands-on work on Kafka and automation tools. The position is 12 months with ASAP start.

Qualifications

• Extensive production experience with Elastic Stack and related components.
• Hands-on scripting in Python and/or Bash (min 2 years).
• Experience with Linux administration (RHEL/Ubuntu) and automation.
• Proven ability to design and implement automation/orchestration solutions.

Responsibilities

• Manage and support production-grade Elastic Stack environments (ingestion, indexing, monitoring, analytics).
• Develop automation to improve reliability, efficiency, and scalability.
• Troubleshoot across Linux environments (RHEL/Ubuntu) and Kafka associations.
• Build and maintain scripts and automation using Python and/or Bash.
• Create and maintain automation/orchestration workflows (Ansible).
• Support and enhance CI/CD pipelines and DevOps practices.

Skills

Elastic Stack

Elasticsearch

Kibana

Indexing and analytics

Monitoring

RHEL

Ubuntu

Python

Bash

Ansible

Tools

Ansible

Job description

• 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
• Kibana
• Indexing and analytics
• Monitoring and production support
• 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
• Infrastructure and platform automation
• Proven experience supporting and troubleshooting production environments, including both virtual and physical infrastructure.

Experience Requirements

• Minimum 7 years of total professional experience.
• At least 4-5 years of hands-on experience managing, designing, deploying, and supporting large-scale Elastic Stack environments.
• Strong experience working in production environments with responsibility for platform stability and operational support.
• Candidates should be comfortable working autonomously and taking ownership of technical deliverables.

Preferred Skills

• Experience within the banking or financial services sector would be advantageous but is not mandatory.
• Experience working within large-scale enterprise infrastructure environments.
• Exposure to complex, highly available, and business-critical platforms.