What you get to do in this role:

• Develop with Python/Go, Ansible, Terraform to build Kubernetes platform.
• Configure and maintain Kubernetes clusters.
• Troubleshoot Kubernetes-based solutions.
• Improve monitoring and alerting for Kubernetes infrastructure.
• Manager large-scale Kubernetes clusters, bare metals and VMs.
• Work as part of a team that writes, reviews, and deploys everything as code.
• Write test plans and test automation for declarative infrastructure in multiple cloud environments.
• Build orchestration workflows by leveraging features of the ServiceNow platform.
• Research and implement new open-source and commercial tools, technologies and methodologies.

Qualifications

To be successful in this role you have:

• Experience in leveraging or critically thinking about how to integrate AI into work processes, decision-making, or problem-solving. This may include using AI-powered tools, automating workflows, analyzing AI-driven insights, or exploring AI’s potential impact on the function or industry. 
• 9+ Yrs of Overall experience
• Must have strong knowledge about Kubernetes architecture, security, policy agents.
• Has strong experience with Prometheus and Grafana.
• Has a deep understanding of Linux servers and their components, including networking, storage, and software packaging.
• Has experience operating bare metal, virtual machines at scale in a production environment, using configuration management tools such as Puppet, Chef, or Ansible.
• Can research best practices and help maintain and promote high standards for development.
• Can document and communicate systems architecture.
• Is comfortable with their ability to design, write and debug code in a team setting. You should also have experience writing test specifications and understand the fundamentals of test automation.
• Has experience with a variety of open-source tools used in the operation of a production computing environment.
  • Can figure things out – you’ll be working with a wide variety of systems technologies. There is plenty of help, but to be successful you will need to be capable of digging deep into internals of DevOps tools.