Site Reliability Engineer (AI Platform)

Allegis Group Singapore Pte Ltd; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Allegis Group Singapore Pte Ltd is seeking a Site Reliability Engineer to join a high-performing AI Platform team responsible for building and operating the core infrastructure, runtime and operational foundations enabling AI adoption across the organisation.

This role involves collaborating across Cloud Infrastructure, Platform Engineering, SRE, and DevOps to maintain a scalable, resilient and observable AI Platform that supports AI-powered services across the business.

Qualifications

• 3-8 years of experience in SRE, Platform Engineering, DevOps or Cloud Infra environments.
• Strong hands-on Terraform and IaC experience.
• Extensive production Kubernetes experience, preferably EKS.
• Experience with AWS cloud-native environments.
• Experience building or maintaining CI/CD pipelines.
• Experience owning production releases and deployment processes.
• Strong troubleshooting and incident management experience.
• Experience with observability and monitoring tools (e.g., Datadog).
• Linux administration and troubleshooting experience.
• Python or scripting for automation and tooling.
• Strong communication and stakeholder management skills.

Responsibilities

• Build and improve platform reliability, resilience and operational excellence.
• Own and enhance Terraform-based infrastructure provisioning and management.
• Manage and support Kubernetes (Amazon EKS) environments in production.
• Develop and maintain CI/CD pipelines for deployments.
• Drive observability, monitoring and alerting across the platform.
• Support incident investigation, root cause analysis and troubleshooting.
• Coordinate production releases from UAT to Production.
• Automate operational tasks and tooling.
• Support AI and agent-based workloads on the platform.

Skills

SRE experience

Platform engineering

DevOps

Cloud infrastructure

Terraform

Kubernetes EKS

AWS

CI/CD pipelines

Release management

Troubleshooting

Observability

Linux administration

Python automation

Communication skills

Stakeholder management

AI/LLM platform experience

Agentic systems experience

Helm

OpenSearch

Databricks

Datadog

Tools

Datadog

Helm

OpenSearch

Databricks

Job description

Overview

We're hiring a Site Reliability Engineer to join a high-performing AI Platform team responsible for building and operating the core infrastructure, runtime and operational foundations that enable AI adoption across the organisation.

This role is ideal for someone who enjoys working across Cloud Infrastructure, Platform Engineering, Site Reliability Engineering, and DevOps disciplines while solving complex operational challenges in a modern cloud-native environment. You will play a key role in ensuring the AI Platform remains scalable, resilient and observable while supporting AI-powered services and applications used across the business.

What You'll Do

• Build and improve platform reliability, resilience and operational excellence.
• Own and enhance Terraform-based infrastructure provisioning and management.
• Manage and support Kubernetes (Amazon EKS) environments in production.
• Develop and maintain CI/CD pipelines supporting deployment and release activities.
• Drive observability, monitoring and alerting best practices across the platform.
• Support incident investigation, root cause analysis and platform troubleshooting.
• Own and coordinate production releases from UAT through to Production deployment.
• Automate operational tasks through ing and tooling.
• Support AI and agent-based workloads running on the platform ecosystem.

Must-Have Skills

• 3-8 years of experience in Site Reliability Engineering, Platform Engineering, DevOps or Cloud Infrastructure environments.
• Strong hands-on experience with Terraform and Infrastructure as Code.
• Strong production experience with Kubernetes, ideally Amazon EKS.
• Strong experience supporting cloud-native environments on AWS.
• Experience building, maintaining or owning CI/CD pipelines.
• Experience owning production releases, change processes and deployment activities.
• Strong troubleshooting and incident management experience.
• Experience with observability and monitoring tools such as Datadog.
• Linux administration and troubleshooting experience.
• Python or ing experience used for automation and operational tooling.
• Strong communication and stakeholder management skills.

Nice-to-Have Skills

• AI / LLM platform experience.
• Agentic systems experience.
• Helm.
• OpenSearch.
• Databricks.
• AI observability and traceability concepts.
• Enterprise platform operations.
• Chaos engineering or resilience testing exposure.

We regret to inform that only shortlisted candidates will be notified .

EA Registration No.: WONG LIN, RACHEL, R25158204

Allegis Group Singapore Pte Ltd, Company Reg No. 200909448N, EA License No. 10C4544