The Production Engineering team in Analytics Cloud is a one-Stop shop for all DevOps functions. We are seeking a passionate Engineer responsible for building and managing our existing and upcoming Kubernetes environments in

AWS/GCP/Azure. The position is highly technical and balanced between engineering and operations roles such as systems configuration management and software development.

The ideal candidate will be a self-starter who can act independently and represent operations core values across the organization.

Responsibilities:

• You'll help drive, implement, support and maintain infrastructure services used by CRM Analytics and Tableau with a primary focus on Kubernetes.

• Debug issues with Kubernetes clusters and complex applications hosted on k8s

• Work with the development teams on the CI/CD process related to Kubernetes deployments.

• Work closely with application teams in ensuring best practices are followed and the infrastructure automation can be self-service

• Drive and support migration of services to production K8S environments.

• Develop and support consistent deployment/management practices across public and private Cloud.

• Hardening, securing the Kubernetes cluster with monitoring and auditing dashboards

• Be on call when needed to support the infrastructure and our systems

Requirements:

• A related technical degree required.

• Minimum 5 years of DevOps experience required, 8 years for Lead positions.

• Extensive understanding of Kubernetes architecture and proven work experience managing Kubernetes (minimum 3 years)

• Experience with deploying and upgrading Kubernetes clusters.

• Experience with Spinnaker

• Experience with IaC technologies like Kubernetes, terraform and Helm charts

• Experience with Python/golang/node.js

• In-depth experience in automation (Infrastructure-as-Code).

• Solid experience with Linux administration combined with good understanding of Linux infrastructure

• Ability to learn quickly in a dynamic environment.