Kubernetes & Site Reliability Engineer (SRE)-6mnths plus extendable-Singapore-Apply ASAP!

GLOSAP CONSULTING PTE. LTD.; Singapore; On-site; SGD 134,000 - 201,000; Full time

Job summary

GLOSAP CONSULTING PTE. LTD. is seeking experienced Kubernetes & Site Reliability Engineers to support highly scalable, production platforms for a global technology customer in Singapore.

The role requires strong hands-on Kubernetes, Linux, production reliability, automation and observability expertise, with experience in incident management for large-scale environments. You will work with DevOps, security and application teams to maintain reliability.

Qualifications

• 5+ years of experience with Kubernetes/SRE in production environments.
• Strong hands-on Kubernetes administration and troubleshooting.
• Experience with Linux, networking, incident management and automation.

Responsibilities

• Operate, maintain and troubleshoot large-scale Kubernetes-based environments.
• Ensure reliability, scalability, availability and performance of critical services.
• Investigate production issues and perform root-cause analysis.
• Participate in incident response and drive permanent corrective actions.
• Automate repetitive tasks and improve platform reliability.
• Build and improve monitoring, alerting and observability frameworks.
• Define and track SLIs/SLOs and runbooks; support upgrades and patching.

Skills

Kubernetes administration

Troubleshooting

Linux administration

Networking fundamentals

SRE principles

Incident management

Automation scripting

Observability tooling

Tools

Prometheus

Grafana

ELK/OpenSearch

Datadog

CI/CD tooling

Job description

Kubernetes & Site Reliability Engineer (SRE):

Location:Singapore

OpenPositions: 4

Engagement:6+ Months

ExpectedStart Date: 28 September 2026

Experience:Preferably 6+ years overall with strong recent Kubernetes/SRE experience

Role Overview

Weare looking for experienced Kubernetes & Site Reliability Engineers tosupport highly scalable, business-critical production platforms for a globaltechnology customer in Singapore.

Therole requires strong hands-on expertise in Kubernetes, Linux, productionreliability, automation, observability, incident management and troubleshootingof distributed systems.

Candidatesshould be comfortable operating large-scale production environments whereavailability, performance, automation and operational excellence are critical.

Key Responsibilities

• Operate,maintain and troubleshoot large-scale Kubernetes-based production environments.
• Ensurereliability, scalability, availability and performance of critical services.
• Investigatecomplex production issues and perform detailed root-cause analysis.
• Participatein incident response and drive permanent corrective actions.
• Automaterepetitive operational activities and improve platform reliability.
• Buildand improve monitoring, alerting, logging and observability frameworks.
• Defineand track SLIs, SLOs and operational reliability metrics.
• SupportKubernetes upgrades, configuration changes, patching and platform improvements.
• Workclosely with application engineering, infrastructure, platform, security andDevOps teams.
• Performcapacity planning, performance tuning and reliability improvements.
• Developand maintain operational runbooks, automation scripts and troubleshootingdocumentation.
• Participatein production readiness reviews and ensure applications meet operationalstandards.

Mandatory Skills

• Stronghands-on experience with Kubernetes administration and troubleshooting.
• Strongunderstanding of Kubernetes architecture, including:
  • Pods
  • Deployments
  • StatefulSets
  • Services
  • Ingress
  • ConfigMaps/ Secrets
  • RBAC
  • Storage
  • Networking
• StrongLinux systems administration and troubleshooting skills.
• Goodunderstanding of networking concepts such as DNS, TCP/IP, load balancing andservice connectivity.
• Strongunderstanding of Site Reliability Engineering principles.
• Experiencesupporting large-scale, high-availability production systems.
• Strongincident management and RCA experience.
• Hands-onscripting/automation experience using Python, Bash/Shell or similar.
• Experiencewith monitoring and observability tools such as Prometheus, Grafana, Splunk,ELK/OpenSearch, Datadog or equivalent.
• Experienceworking with CI/CD and automated deployment environments.
• Strongdebugging and problem-solving capabilities.

Preferred Skills