SalaryPeak

Technical Lead (Elastic ELK, RedHat)

NTT DATA SERVICES SINGAPORE PTE. LTD.
Singapore 5+ years Posted May 11, 2026

Salary Range

SGD 96,000 - SGD 156,000 /year

SGD 8,000 - SGD 13,000/month

Skills Required

Make the designKubernetesleading technical teamsSoftware EngineeringRedHat LinuxLoggingElasticSearchRedHatDockerTechnical Leadershipmentors team membersLarge Scale DeploymentsDeployment

Job Description

Job Summary

We are seeking an experienced Technical Lead with expertise in Elastic Stack and observability platforms to lead enterprise monitoring and logging solution deployments, ensuring scalable, secure, and high-performance observability architectures.

Responsibilities

  • Lead the design, deployment, and implementation of observability platforms using the Elastic Stack to enhance enterprise monitoring capabilities
  • Architect and manage large-scale Elasticsearch deployments to support scalable log analytics and observability solutions
  • Lead and mentor deployment engineers and platform specialists to ensure effective team performance and knowledge sharing
  • Design scalable, secure solutions for log analytics, monitoring, and observability platforms aligned with enterprise needs
  • Collaborate with infrastructure, DevOps, and application teams to integrate observability tools into enterprise systems for improved visibility
  • Ensure platform performance, stability, scalability, and security through proactive monitoring and optimization
  • Provide technical leadership and architecture guidance to enforce best practices in observability platform deployments
  • Troubleshoot and resolve complex platform and performance issues to maintain continuous system availability and reliability

Required competencies and certifications

  • Minimum 5 years of IT experience, including at least 3 years working with observability or monitoring platforms
  • Minimum 2 years of experience leading technical teams or deployment engineers
  • Strong hands-on experience with the Elastic Stack for observability and logging solutions
  • Experience deploying or managing large-scale ELK (Elasticsearch, Logstash, Kibana) environments
  • Familiarity with modern infrastructure environments such as Kubernetes, Docker, or cloud platforms
  • Strong understanding of logging, monitoring, and observability architectures
  • Possess relevant Elastic certification, such as Elastic Certified Engineer or Elastic Observability Engineer