Senior DevOps Engineer — Elastic Stack & Kafka Expert

MANTU INTERNATIONAL PTE LTD

Singapore

On-site

SGD 120,000 - 180,000

Full time

14 days+

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Benefits offered by this job

International community
Amaris Academy
Team events

Job summary

Amaris Consulting in Singapore is seeking a Senior DevOps Engineer to own the engineering and operation of production Elastic Stack and Kafka platforms. You will design and maintain ingestion pipelines, manage Elasticsearch environments, automate Linux operations, and support live systems across virtualised and physical infrastructure.

The ideal candidate has 7+ years in platform engineering or DevOps, deep Elastic Stack production experience, strong Linux skills, and hands-on scripting with

Qualifications

  • 7+ years of professional experience in platform engineering, DevOps, or related roles.
  • Direct hands-on experience deploying Elastic Stack in production.
  • Proficient with Kafka in production environments.
  • Strong Linux administration on RHEL/Ubuntu.
  • Experience with Ansible and CI/CD pipelines.

Responsibilities

  • Design, deploy, and maintain Elastic Stack production environments.
  • Manage Elasticsearch cluster health, indexing, and data lifecycle.
  • Operate Kafka topics, retention, and consumer lag.
  • Create automation with Python or Bash and Ansible playbooks.
  • Lead incident investigations and post-incident reviews.

Skills

Elastic Stack
Kafka
Linux administration
Python scripting
Bash scripting
Ansible
CI/CD pipelines

Education

Bachelor’s degree in Computer Science or related field

Tools

Elasticsearch
Kibana
Logstash
Beats
Elastic Agent

Job description

Amaris Consulting in Singapore is seeking a Senior DevOps Engineer to own the engineering and operation of production Elastic Stack and Kafka platforms. You will design and maintain ingestion pipelines, manage Elasticsearch environments, automate Linux operations, and support live systems across virtualised and physical infrastructure.

The ideal candidate has 7+ years in platform engineering or DevOps, deep Elastic Stack production experience, strong Linux skills, and hands-on scripting with

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