Cloud Engineer- Kubernetes

Role Overview

• We are looking for experienced Kubernetes & Site Reliability Engineers to support highly scalable, business-critical production platforms for a global technology customer in Singapore.
• The role requires strong hands-on expertise in Kubernetes, Linux, production reliability, automation, observability, incident management and troubleshooting of distributed systems.
• Candidates should be comfortable operating large-scale production environments where availability, performance, automation and operational excellence are critical.

Key Responsibilities

• Operate, maintain and troubleshoot large-scale Kubernetes-based production environments.
• Ensure reliability, scalability, availability and performance of critical services.
• Investigate complex production issues and perform detailed root-cause analysis.
• Participate in incident response and drive permanent corrective actions.
• Automate repetitive operational activities and improve platform reliability.
• Build and improve monitoring, alerting, logging and observability frameworks.
• Define and track SLIs, SLOs and operational reliability metrics.
• Support Kubernetes upgrades, configuration changes, patching and platform improvements.
• Work closely with application engineering, infrastructure, platform, security and DevOps teams.
• Perform capacity planning, performance tuning and reliability improvements.
• Develop and maintain operational runbooks, automation scripts and troubleshooting documentation.
• Participate in production readiness reviews and ensure applications meet operational standards.

Mandatory Skills

• Strong hands-on experience with Kubernetes administration and troubleshooting.
• Strong understanding of Kubernetes architecture, including:
• Pods
• Deployments
• StatefulSets
• Services
• Ingress
• ConfigMaps / Secrets
• RBAC
• Storage
• Networking
• Strong Linux systems administration and troubleshooting skills.
• Good understanding of networking concepts such as DNS, TCP/IP, load balancing and service connectivity.
• Strong understanding of Site Reliability Engineering principles.
• Experience supporting large-scale, high-availability production systems.
• Strong incident management and RCA experience.
• Hands-on scripting/automation experience using Python, Bash/Shell or similar.
• Experience with monitoring and observability tools such as Prometheus, Grafana, Splunk, ELK/OpenSearch, Datadog or equivalent.
• Experience working with CI/CD and automated deployment environments.
• Strong debugging and problem-solving capabilities.

Preferred Skills

• Infrastructure-as-Code experience using Terraform, Ansible or equivalent.
• Helm or similar Kubernetes package/deployment management tools.
• GitOps experience using tools such as Argo CD or Flux.
• Knowledge of service mesh concepts.
• Experience with container security and Kubernetes security practices.
• Experience with cloud or private-cloud infrastructure.
• Familiarity with distributed systems and microservices architectures.
• Exposure to performance engineering and capacity management.
• Experience working in globally distributed engineering environments.