Cloud Engineer

WPH DIGITAL PTE. LTD.; Singapore; On-site; SGD 60,000 - 90,000; Full time

Benefits offered by this job

Hands-on AWS & EKS

Structured onboarding

Certification sponsorship

AI productivity tools

Career growth in DevOps

Job summary

WPH Digital PTE. LTD. seeks a DevOps Engineer to operate production platforms on AWS with EKS, spanning DEV, STG and PROD. You’ll join a hands-on team focused on stability, security and observability, following SOPs and runbooks.

You will gain real production exposure, with mentoring from senior engineers and structured onboarding. Fresh graduates and junior candidates are welcome.

Qualifications

• Hands-on AWS knowledge (EC2, VPC, IAM, S3) from work, labs or certification.
• Basic Docker and Kubernetes concepts: pods, deployments and services.
• Experience with Terraform and GitLab CI for IaC and pipelines.
• Familiarity with monitoring tools (CloudWatch, Elastic, Grafana).
• Good communication, willingness to learn, and attention to SOPs.
• 1–3+ years in DevOps, SRE or system administration; AWS/Kubernetes certs are a plus.

Responsibilities

• Platform Operations: support AWS infra across DEV, STG, PROD with EKS.
• Run health checks on clusters, nodes and workloads across platforms.
• Provision and manage infra via Terraform in CI/CD pipelines.
• Support application workloads and troubleshoot issues per SOPs.
• Security & Compliance: enforce least-privilege IAM and patching.
• CI/CD: assist with deployments, scans and container image hygiene.
• Monitoring: maintain dashboards and alert rules; review SLOs.
• AI‑Assisted Productivity: leverage AI tools for troubleshooting and scripting.

Skills

AWS basics

Kubernetes

Terraform

GitLab CI

Monitoring

SRE mindset

Automation scripting

Communication

Education

Bachelor's or Diploma in CS/IT/Engineering

Tools

AWS

EKS

Terraform

Docker

GitLab

Kubernetes

Jira/ServiceNow

Job description

About the Role

WPH Digital is hiring a DevOps Engineer to support and operate production platforms on AWS. Our workloads are containerized and run on Amazon EKS across DEV, STG and PROD environments.

You’ll join our DevOps team and work closely with internal and stakeholder technical teams to keep production platforms stable, secure and well monitored. Most of the work follows SOPs and runbooks, which makes this a good place to build real production experience. Our engineers also use AI tools every day to speed up troubleshooting, scripting, documentation and routine operations.

We welcome junior candidates and fresh graduates. You’ll need solid fundamentals and some hands‑on AWS or Kubernetes exposure, whether from projects, labs or certifications. We’ll give you structured onboarding, shadow support and mentoring from senior engineers.

Job Duties & Responsibilities

Platform Operations

• Support AWS infrastructure across DEV, STG and PROD, including EC2, VPC, IAM, S3, RDS and EKS
• Run daily health checks on EKS clusters, nodes, pods and workloads (Linux and Windows nodes)
• Provision and maintain infrastructure with Terraform through GitLab pipelines
• Support application workloads on the platform, including web and API services
• Troubleshoot issues using approved SOPs and runbooks, and elevate to senior engineers when needed
• Support OS patching and maintain standard build images for Windows and Linux

Incidents & Service Requests

• Triage, track and follow up on incidents and service requests until closure
• Keep tickets up to date in Jira / JSM or ServiceNow
• Support high‑severity production incidents according to the escalation matrix
• Prepare incident notes, status updates and support reports

Monitoring & Observability

• Monitor platform health with Elastic/Kibana and AWS CloudWatch, including Container Insights
• Review SLO dashboards, burn‑rate alerts and operational metrics to catch degradation early
• Follow up on alerts and elevate them according to SOPs
• Help maintain dashboards, alert rules and monitoring runbooks

DevOps & CI/CD

• Support GitLab CI/CD pipelines for application and infrastructure-as-code deployments
• Support merge‑request security scanning workflows and help teams fix findings
• Help keep container images clean and remediate CVEs
• Assist with releases and deployments across environments

Security & Compliance

• Support least‑privilege IAM, RBAC and access request workflows
• Coordinate security patching and vulnerability remediation
• Collect logs and evidence for security investigations and compliance reviews
• Support backup and recovery operations (AWS Backup, RDS snapshots) and DR exercises

Reporting & Improvement

• Prepare operational reports and ticket summaries
• Join regular operations review meetings
• Spot recurring issues and improve SOPs, runbooks and documentation

AI‑Assisted Productivity

• Use AI tools to speed up troubleshooting, log and alert analysis, and root‑cause investigation
• Use AI coding assistants to draft and review scripts, Terraform code and CI/CD pipeline changes
• Use AI to write and improve SOPs, runbooks, incident notes and reports
• Find repetitive operational tasks that AI or automation can streamline
• Always check AI‑generated output, and follow security and data‑handling guidelines when using AI tools

Skills and Qualifications

• Diploma or Degree in Computer Science, IT, Engineering or a related field
• Hands‑on AWS knowledge (EC2, VPC, IAM, S3) from work, internships, labs or certification study
• Basic understanding of Docker and Kubernetes concepts such as pods, deployments and services
• Basic Linux administration (Windows Server exposure is a plus)
• Familiarity with Git and basic scripting in Shell or Python
• Curiosity about using AI tools to work smarter and learn faster
• Good communication skills, willingness to learn, and attention to detail when following SOPs
• 1–3+ years in DevOps, SRE or system administration
• AWS certifications (Cloud Practitioner, Solutions Architect Associate, SysOps Administrator) or Kubernetes certifications (CKA / CKAD)
• Experience with Amazon EKS, Helm or kubectl troubleshooting
• Terraform and GitLab CI experience
• Elastic/Kibana (including ES|QL), CloudWatch, or Prometheus/Grafana
• Exposure to security scanning tools (SonarQube, FOD, Nexus‑IQ) or container image scanning
• ITIL Foundation, or experience with Jira/JSM or ServiceNow
• Experience with Windows containers or Windows‑based workloads on Kubernetes
• Hands‑on experience using AI assistants (e.g. GitHub Copilot, Claude, ChatGPT) for coding, troubleshooting or documentation

What We Offer

• Hands‑on experience running a production‑scale platform on AWS and EKS
• Structured onboarding, shadow support and mentoring
• Sponsorship for AWS and Kubernetes certifications (edit to match your actual benefits)
• Access to AI productivity tools, in a team that actively uses AI‑assisted engineering practices
• A clear growth path into senior DevOps, SRE or Platform Engineering roles

Working Arrangement

Business hours, plus a 24x7 on-call rotation for high‑severity production incidents. Junior engineers join the rotation after onboarding.