Observability Platform Architect

JD

The role is to establish the roadmaps, designs, and supports the implementation of Platform Ops (Artificial Intelligence for IT Operations); for private cloud, and machine learning capabilities to automate and streamline operational workflows.

Responsibilities
 

Architecture governance, principles, design standards, policies, and procedures that encourage innovation through automation & AI, whilst prioritizing security, reliability, and scalability across on-premises and cloud like Hyperscalers

Highly automating and improving IT operational processes for service provisioning, configuration, and management

Invest time with other teams, including application development and infrastructure teams, to support business applications and processes in new ways

Skills

Designing and implementing sophisticated enterprise-level solutions

Infrastructure-as-Code (IaC) through DevOps, and tools such as GitLab CI/CD, Jenkins, Terraform, and Ansible

Performance monitoring and observability through platforms such as ServiceNow, Dynatrace, Splunk, Datadog, and Grafana

Tier 1 vendor technologies both on-premise and cloud, including Kubernetes & containers at scale