Description
Our team is dedicated to powering the Cisco Secure Workload platform, a holistic security solution designed to deliver in-depth application workload visibility and protection across hybrid multicloud environments.
You will drive the evolution of workload security by developing and scaling a platform that secures compute instances across on-premises data centers and public clouds.
Key responsibilities:
- Lead the implementation of behavior-based application insights and AI/ML driven policy automation to protect critical assets from sophisticated cyberattacks.
- Achieve complete visibility into workload interactions and ensuring consistent policy enforcement at scale.
- Engineer highly scalable micro segmentation solutions to support large and mega data centers.
- Integrate a wide technology stack, including Kubernetes, public cloud security groups, and various Linux distributions, to ensure infrastructure-agnostic protection.
- Optimize telemetry collection using eBPF to reduce agent resource consumption and enhance data accuracy.
Requirements:
- Bachelor’s degree with 8 plus years of experience in Python, Ansible, and Golang with micro segmentation or Zero Trust security architectures.
- Core Linux/virtualization knowledge (virtual drives, logical/physical volumes) and experience deploying solutions for cloud architectures for AWS, Azure, Nutanix, Open Shift or GCP.
- Technical knowledge of Linux distributions (e.g., Red Hat, Ubuntu, Debian) and their OS kernels
- Proficiency in managing workloads across heterogeneous environments (Virtual Machines, Bare Metal, and Containers)
- Experience with multicloud or hybrid cloud deployment options.
Benefits:
- Opportunities for growth and professional development
- Collaborative and dynamic work environment
- Recognition and rewards for outstanding performance
At Cisco, we're revolutionizing how data and infrastructure connect and protect organizations in the AI era – and beyond.
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