Innovative Site Reliability Engineer Cloud and AI Solutions

Position: Innovative Site Reliability Engineer for Cloud and AI Solutions
Lead the charge in site reliability engineering focusing on cloud systems and AI-driven observability. Leverage your strong Python scripting and experience with tools like Pager Duty and Moogsoft.
In this position, you will utilize your strong understanding of SRE principles and distributed systems.

Your role will involve working with Ansible and Git for automation, while also exploring Kubernetes and Docker environments. Engaging with generative AI and event-driven architectures will enhance operational efficiency.

Key Responsibilities:

• Implement and manage observability with Splunk and Dynatrace

• Develop automation scripts using Python and Ansible

• Collaborate within distributed cloud systems

• Utilize Git and Git Hub Actions for version control

• Engage with container solutions like Kubernetes
Requirements:

• Excellent scripting skills in Python

• Experience with AI/ML observability platforms

• Familiarity with Kubernetes and Docker environments

• Exposure to Chat Ops frameworks is a plus

• Knowledge of event-driven architectures desired
Transform site reliability with your innovative skills in cloud and AI technologies.
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