Description
The Production Engineering team within Analytics Cloud (CRM Analytics/Tableau/Tableau Next) 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 engineering, configuration management and software development.
The ideal candidate will be a self-starter who can act independently, lead other team members, 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.
Deploy and maintain SLAs for the existing First Party Production Infrastructure till we complete our migration to Public Cloud.
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:
BS, MS or PhD in Computer Science or a related technical discipline, or equivalent practical experience
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.
For roles in San Francisco and Los Angeles: Pursuant to the San Francisco Fair Chance Ordinance and the Los Angeles Fair Chance Initiative for Hiring, Salesforce will consider for employment qualified applicants with arrest and conviction records.