SRE Engineer: Cloud Infra, AWS & Kubernetes (6M Contract)

Ethos BeathChapman; Singapore; On-site; SGD 90,000 - 140,000; Full time

Job summary

Ethos BeathChapman is seeking an experienced SRE Engineer for an urgent 6-month contract in Singapore. The role focuses on reliability, scalability, and incident response across cloud-native environments.

You will work with AWS, Kubernetes, Docker, and IaC tools, ensuring robust observability with CloudWatch, Splunk, or Datadog, and collaborate with software engineering and operations teams to drive improvements.

Qualifications

• 3–7 years of experience as SRE with hands-on software engineering and production support.
• Proficiency in JavaScript, Java, Python, or .NET.
• Experience with infrastructure as code (Terraform, CloudFormation) and CI/CD (GitHub Actions) and artifact repos (JFrog).
• Strong Linux administration and shell scripting; hands-on with log aggregation/observability tools (CloudWatch, Splunk, Datadog).
• Cloud and container tech experience (AWS, Docker, Kubernetes, EKS, Helm) and related certs are a plus.
• Eligible to start within the next month in Singapore without sponsorship.

Responsibilities

• Maintain and improve site reliability for the production environment.
• Participate in incident response and post-incident reviews.
• Collaborate with software engineers and operations teams to implement observability and automation.

Skills

SRE/DevOps

JavaScript

Java

Python

.NET

Terraform

CloudFormation

GitHub Actions

JFrog

Linux

Shell scripting

CloudWatch

Splunk

Datadog

Docker

Kubernetes

EKS

Helm

Communication

Analytical skills

Tools

Terraform

CloudFormation

GitHub Actions

JFrog

CloudWatch

Splunk

Datadog

Docker

Kubernetes

EKS

Helm

Job description

Ethos BeathChapman is seeking an experienced SRE Engineer for an urgent 6-month contract in Singapore. The role focuses on reliability, scalability, and incident response across cloud-native environments.

You will work with AWS, Kubernetes, Docker, and IaC tools, ensuring robust observability with CloudWatch, Splunk, or Datadog, and collaborate with software engineering and operations teams to drive improvements.