Platform / DevOps Engineer

Selby Jennings; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

Selby Jennings in Singapore seeks a hands-on DevOps/Platform Engineer to design, build, and operate a container and cloud platform in production. You will own the full Kubernetes lifecycle, from provisioning and configuration to upgrades, security, backup, and recovery, across development, testing, staging, and production environments.

The role emphasizes automation, infrastructure as code (Terraform, Pulumi, CloudFormation), GitOps, and strong observability.

Qualifications

• Hands-on DevOps/Platform Engineering background with production Kubernetes experience.
• Experience provisioning, configuring, upgrading, securing, and operating Kubernetes clusters.
• Strong expertise in Infrastructure as Code (Terraform, Pulumi, CloudFormation) and automation.
• Proficiency in CI/CD and GitOps tooling (GitHub Actions, GitLab CI, Jenkins, Argo CD, Flux).
• Familiarity with observability tools (Prometheus, Grafana, OpenSearch, Datadog, ELK) and security baselines.

Responsibilities

• Design and build Kubernetes clusters across development, testing, staging, and production.
• Provision and configure clusters using managed services or self-managed distributions.
• Own full lifecycle: installation, configuration, scaling, patching, upgrades, backup, recovery, decommissioning.
• Manage cluster capacity, availability, and performance.
• Configure networking, ingress, DNS, load balancing, storage, and PVs.
• Implement security controls (RBAC, secrets, policies, image security).
• Develop reusable platform services and automation using IaC.
• Establish governance standards and production-readiness requirements.
• Create templates, Helm charts, platform blueprints, and golden paths.
• Build CI/CD and GitOps capabilities with GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.
• Manage container registries, image lifecycle, vulnerability scanning, and supply-chain controls.
• Collaborate with security and engineering teams for governance and compliance.
• Support production incidents and root-cause analysis.
• Evaluate new platform technologies for scale, security, reliability, and productivity.
• Support AI/ML workloads with GPU clusters and model deployment where applicable.

Skills

Kubernetes

IaC

Terraform

Pulumi

CloudFormation

Ansible

Helm

GitOps

Argo CD

Flux

CI/CD

Jenkins

GitHub Actions

GitLab CI

Prometheus

Grafana

OpenSearch

Datadog

ELK

Tools

Terraform

Pulumi

CloudFormation

Ansible

Helm

Kubernetes Operators

GitHub Actions

GitLab CI

Jenkins

Argo CD

Flux

Prometheus

Grafana

OpenSearch

Datadog

ELK

Job description

Role Overview

We are looking for a highly hands-on DevOps / Platform Engineer to design, build, and manage the organisation's container and cloud platform.

The successful candidate will have direct experience building, provisioning, configuring, upgrading, securing, and operating Kubernetes clusters in production environments.

You will be responsible for the underlying platform, including cluster architecture, networking, storage, security, governance, observability, automation, and reliability. Exposure to AI infrastructure, MLOps, GPU-enabled environments, or the deployment of AI workloads would be advantageous.

Key Responsibilities

• Design and build Kubernetes clusters across development, testing, staging, and production environments.
• Provision and configure Kubernetes clusters using managed services or self-managed distributions.
• Own the full Kubernetes cluster lifecycle, including installation, configuration, scaling, patching, version upgrades, backup, recovery, and decommissioning.
• Manage Kubernetes control-plane and worker-node architecture, cluster capacity, availability, and performance.
• Configure and maintain cluster networking, ingress controllers, DNS, load balancing, service discovery, storage classes, and persistent volumes.
• Implement Kubernetes security controls, including RBAC, secrets management, network policies, pod security standards, image security, and admission controls.
• Build and maintain reusable container platform services for engineering and application teams.
• Develop automated cluster-provisioning and configuration-management processes using Infrastructure as Code.
• Establish platform governance standards, security baselines, naming conventions, deployment policies, and production-readiness requirements.
• Define and maintain reusable templates, Helm charts, platform blueprints, and golden paths.
• Build and manage CI/CD and GitOps capabilities using tools such as GitHub Actions, GitLab CI, Jenkins, Argo CD, or Flux.
• Manage container registries, image lifecycle processes, vulnerability scanning, and software-supply-chain controls.
• Partner with security, infrastructure, architecture, and engineering teams to ensure the platform meets governance and compliance requirements.
• Support production incidents and drive root-cause analysis and long-term remediation.
• Evaluate and introduce new platform technologies that improve scalability, security, reliability, and developer productivity.
• Support AI and machine-learning workloads, including GPU-based clusters, containerised model deployment, model-serving platforms, and MLOps pipelines where applicable.

Requirements

• Strong hands-on experience in DevOps, platform engineering, cloud infrastructure, or site reliability engineering.
• Proven experience building and managing Kubernetes clusters, rather than only deploying applications onto existing clusters.
• Experience owning Kubernetes clusters through their full operational lifecycle.
• Experience with Infrastructure as Code tools such as Terraform, Pulumi, CloudFormation, or similar technologies.
• Experience with configuration-management and automation tools such as Ansible.
• Experience with Helm, Kubernetes Operators, GitOps, and automated cluster deployment.
• Strong knowledge of Linux administration, networking, infrastructure security, identity and access management, and production operations.
• Experience defining governance controls, platform standards, security baselines, and operational policies.
• Familiarity with observability tools such as Prometheus, Grafana, ELK, OpenSearch, Datadog, or Splunk.