Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience
The Netskope Data Security team is focused on providing unrivaled visibility and real-time data protection. Our products help ensure that customers' data is protected wherever it lives
Our engineers architect, build, test, deploy, and operate highly scalable, high-performance data protection services across public cloud, private cloud, and on-premises environments
In this role, you will help build and operate the infrastructure, automation, and engineering platforms that enable our Data Security services to be deployed and operated reliably at global scale. You will work closely with development, SRE, Platform Engineering, Operations, QA, and cloud infrastructure teams. You can read more about our best-in-class Data Security solutions at Netskope One Data Security
What's in It for You?
We are looking for DevOps engineers who enjoy solving complex infrastructure and production engineering problems through a combination of software development, automation, and strong systems knowledge
You will have the opportunity to work across Kubernetes, cloud infrastructure, CI/CD, observability, networking, and distributed systems while developing tools and automation that improve how our engineering teams build, deploy, and operate services
You will also have opportunities to use modern AI-assisted development tools to accelerate automation, software development, troubleshooting, and engineering productivity
Deploy, operate, and troubleshoot Kubernetes-based services across public cloud, private cloud, and on-premises environments
Build and maintain automation for deployments, releases, configuration management, infrastructure, and operational workflows
Develop tools and software that improve the reliability, scalability, and efficiency of our services and engineering processes
Work with development, SRE, Platform Engineering, Operations, QA, cloud providers, and other teams to resolve complex production and deployment issues
Improve monitoring, metrics, logging, dashboards, and alerting to provide strong visibility into application and infrastructure health
Investigate complex issues spanning applications, Kubernetes, networking, infrastructure, and cloud platforms, and drive them through root cause and resolution
Identify repetitive or operationally expensive processes and replace them with reliable automation and tooling
Help improve service scalability, performance, capacity management, and operational readiness
Contribute to runbooks, operational procedures, and engineering best practices
Participate in the team's production support and on-call rotation
Use AI-assisted development tools and coding agents as part of day-to-day engineering to accelerate development of automation, tooling, testing, troubleshooting, and operational solutions