Senior Elastic Stack & SRE Engineer - Automation & Kafka

ARGYLL SCOTT CONSULTING PTE. LTD.; Singapore; Vor Ort; SGD 150.000 - 210.000; Vollzeit

Zusammenfassung

ARGYLL SCOTT CONSULTING PTE. LTD. is seeking an experienced Elastic Stack / DevOps Engineer to manage and automate a large-scale production platform.

The role emphasizes platform engineering, automation, coding, and production support across Linux environments and Kafka integrations. The ideal candidate will have strong hands-on experience with Elastic Stack, Kafka, scripting (Python/Bash), and Ansible, and will work across both virtual and physical infrastructure to ensure reliability and

Qualifikationen

• 7+ years of total professional experience in DevOps/platform engineering.
• 4–5 years of hands-on experience managing and supporting large Elastic Stack environments.
• Strong production experience with platform stability and operational support.
• Autonomous work style with ownership of technical deliverables.

Aufgaben

• Manage and support Elastic Stack environments (Elasticsearch, Logstash, Kibana, ingestion, monitoring, analytics).
• Design, develop and implement automation to improve reliability, efficiency and scalability.
• Provide hands-on Linux administration across RHEL and Ubuntu.
• Manage Kafka environments and integrations.
• Develop scripts in Python and/or Bash; build automation workflows with Ansible.
• Support CI/CD pipelines and DevOps practices.
• Perform production support, root cause analysis and issue resolution across complex infra.
• Work across virtual and physical infrastructure; identify opportunities to automate and improve processes.

Kenntnisse

Elastic Stack

Kafka

Linux Administration

Programming / Scripting

Automation and DevOps

CI/CD pipelines

Production support

Tools

Ansible

Jobbeschreibung

ARGYLL SCOTT CONSULTING PTE. LTD. is seeking an experienced Elastic Stack / DevOps Engineer to manage and automate a large-scale production platform.

The role emphasizes platform engineering, automation, coding, and production support across Linux environments and Kafka integrations. The ideal candidate will have strong hands-on experience with Elastic Stack, Kafka, scripting (Python/Bash), and Ansible, and will work across both virtual and physical infrastructure to ensure reliability and