Keyrus is an international consulting firm, specializing in the integration of data intelligence and Digital solutions. With over 3500 employees spread across 27 countries, Keyrus continues to deliver on such projects to a wide range of clients from various industries including but not limited to Banking/Finance, Healthcare/pharmaceuticals, FMCG, Oil & Gas, and more.
As part of Keyrus’ solution delivery, we are also in a position to recruit and place technical consultants to complement on existing client projects with their expertise. As such, we seek innovative and agile people to support ambitious and forthcoming technological challenges.
Our team in Singapore is on the hunt for a Docker Engineer to join our client's team.
Job Description
Direct Responsibilities
- Administration of Kubernetes platform
- Troubleshooting incidents / problems related to Kubernetes cluster & applications
- Monitor cluster health using standard monitoring tools (eg Dynatrace)
- Manage obsolescence & remediate vulnerabilities with close collaboration of vendor
- Escalate timely to management on possible risks, escalation matters and management issues
- Review and create application Support knowledge articles.
- Ensure that all production deliverables are aligned with production standards and best practices.
- Identify and propose automation wherever possible to improve system availability, productivity, and performance.
Contributing Responsibilities
- Thriving for continuous improvement of the production environment
- Redesigning legacy applications for container implementation
- Assist on DR, BCP exercise and patching cycles
- Contribute to in continuous improvement process in terms of creating and maintaining knowledge base.
- Define standards and best practice.
Requirements
Mandatory
- Total 5+ years of IT experience with at least 2+ years of Kubernetes administration
- CKA (Certified Kubernetes Administrator)
- Hands on experience on Container image life cycle management (test, patch, deploy),
- Container storage management, Automation using helm charts
- Good Knowledge on Network topologies & container networking & Monitoring using Prometheus / Dynatrace
- Basic understanding of BRMS (backup, recovery and media services)
- Experience with automation/configuration management using Terraform or Ansible
- Good background in Linux / Unix Administration
- A working understanding of Python or Perl or Shell
- Excellent communication skills
- Excellent Stakeholder management
Good to have.
- Experience on Redhat OpenShift platform
- Experience in developing cloud native applications and/or Certified Kubernetes Developer certification
- Experience with Elasticsearch, Redis Administration
- Good understanding of CI/CD pipelines
