Cloud Platform Engineer

Create, implement and manage cloud deployments using Kubernetes and Docker 

Provide expertise for operational management of cloud platform for monitoring, management, disaster recovery, security compliance/auditing, networking, storage, service brokers and build packs 

Develop and deliver configuration and deployment automation through Kubernetes/Docker required for continuously improving the functionality, availability, and manageability of platform and associated services. 

Set up administrator and service accounts, maintaining system documentation and troubleshooting 

Use scripting tools to automate processes 

Develop, update, follow up and implement strategies, action plans, programs or solutions for technological infrastructure operation to ensure consistency and balance between business needs and compliance with requirements and good practices 

Develop performance indicators and monitoring methods. Identify problems and make recommendations to management. 

Maintain Primary and Disaster Recovery sites 

Interface and coordinate with development and technical support teams to resolve issues reported during daily operation 

Project Execution – perform tasks under the directions of the IT Director and/or according to a project plan in a way such that the timeline of the project is observed and the requirements of the task are satisfied 

Research new technologies and provide technical expertise as requested by IT Director 

College diploma in computer science or equivalent is required.  Higher accreditation (e.g., Bachelor of Computer Science) is an asset. 

5+ years of experience working in an IT capacity 

5+ years’ technical (OS, network operations, and monitoring) experience within an Enterprise sized business 

2 years solid hands-on experience cloud deployments to Azure, AWS or GCP 

2+ years of Kubernetes and Docker experience at an Enterprise scale(highly desirable) 

1-2 years of experience doing DevOps 

2+ years of hands-on experience in setting up logging and monitoring using one or more tools like ElasticSearch, Kibana, Filebeat, Logstash, Prometheus and Grafana 

Knowledge of containers, orchestration tools, and container management 

Experience in Service Mesh (Istio or Linkerd) 

Understanding of the Software Development Life Cycle including Continuous Integration and Continuous Deployment (CI/CD) pipeline architecture (Jenkins, Azure Devops) including deployments into Kubernetes environments using tools such as ArgoCD 

Experience in security tool and best practices such as Auqa  

Experience with IaC practice (infrastructure as code) 

Good scripting abilities (PowerShell, Bash, Python, Go, etc.) 

Good problem-solving skills 

Experience working in a banking or financial services environment is desirable