Staff Production Infrastructure Engineer

servicenow

Hyderabad 9 Years Exp Posted 221d ago

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.

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.