Platform Engineer / Site Reliability Engineer (Kubernetes)

Job Description

We are seeking an experienced Platform Engineer / Site Reliability Engineer (SRE) to support the deployment, operations, and reliability of enterprise platform services. The ideal candidate will have strong hands-on experience with Kubernetes, observability platforms, CI/CD pipelines, and production support in large-scale environments.

Key Responsibilities

Manage and support Kubernetes-based applications and platform services in production environments.

Troubleshoot and resolve issues related to pods, deployments, services, ingress, scaling, and platform performance.

Design, implement, and maintain monitoring, alerting, and observability solutions using Grafana, Prometheus, Splunk, or similar tools.

Support CI/CD pipelines and deployment processes across development, testing, and production environments.

Perform production incident management, root cause analysis (RCA), and service reliability improvements.

Work closely with development, infrastructure, and security teams to ensure platform stability and availability.

Automate operational tasks using scripting and infrastructure-as-code tools where applicable.

Contribute to system capacity planning, performance optimization, and operational readiness.

Required Skills & Experience

5+ years of experience in Platform Engineering, SRE, DevOps, Infrastructure Engineering, or related roles.

Strong hands-on experience with Kubernetes and containerized workloads.

Experience with Helm, Kubernetes deployments, services, ingress, scaling, and troubleshooting.

Good experience with Grafana, Prometheus, Datadog, Splunk, or equivalent monitoring and observability tools.

Experience working with CI/CD tools such as Jenkins, GitLab CI/CD, GitHub Actions, ArgoCD, or similar.

Strong Linux administration and troubleshooting skills.

Experience with production support, incident management, and RCA.

Exposure to cloud platforms such as AWS, Azure, or GCP.

Working knowledge of scripting and automation using Python, Shell, or similar tools.

Preferred Skills

Experience in banking, financial services, or other large-scale enterprise environments.

Exposure to Infrastructure as Code tools such as Terraform or Ansible.

Knowledge of SRE concepts including SLI, SLO, SLA, and Error Budgets.

Experience with high-availability systems, observability platforms, and distributed systems.

Employment Type

Full-time / Contract (as applicable)

Location

Singapore

Experience

5-12 years preferred

This version is concise enough for MCF posting while still attracting the exact profile type that the client has been responding positively to: Kubernetes + SRE + Monitoring + Production Support engineers rather than pure software developers.