Cloud Engineer
About the company
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.
Your tasks
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.
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 escalate 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 escalate 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
Requirements
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.
- 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
Other
Working Arrangement Business hours, plus a 24x7 on-call rotation for high-severity production incidents. Junior engineers join the rotation after onboarding.
_Note: Proceeding to apply on this job post means you have read, understand, and agreed to WPH DATA PROTECTION NOTICE FOR JOB APPLICANTS https://www.wphdigital.com/notices_