Staff Engineer DevOps, Data Security (DLP)

Netskope; United States; Remote; USD 130,000 - 190,000; Full time

Job summary

Netskope is seeking experienced DevOps engineers to build and operate scalable Data Security platforms across cloud, private cloud, and on-prem environments. You will design, automate, and optimize infrastructure and tooling to support global deployments.

You will work with development, SRE, Platform Engineering, and QA teams, applying modern CI/CD, observability, and AI-assisted development practices to improve reliability and throughput.

Qualifications

• 5+ years in DevOps, SRE, Platform Eng, infra eng, or related role (staff level often 8+).
• Strong hands-on Linux and production system troubleshooting.
• Production Kubernetes experience.
• Experience with AWS, GCP, Azure, or OpenStack.
• Networking fundamentals: TCP/IP, DNS, load balancing, SSL/TLS, cloud/Kubernetes networking.
• Programming/automation in Python or Go.
• CI/CD, infra automation, or config management tools.
• Production monitoring/observability with Prometheus, Grafana, Elastic Stack, or similar.
• Strong problem solving and ability to own technical projects.
• Excellent written and verbal communication for distributed teams.
• Experience with AI-assisted development tools and coding agents.

Responsibilities

• Deploy, operate, and troubleshoot Kubernetes-based services across cloud and on‑prem environments.
• Build and maintain automation for deployments, releases, configuration, infrastructure, and workflows.
• Develop tools to improve reliability, scalability, and efficiency of services and processes.
• Collaborate with development, SRE, Platform Eng, Operations, QA, and cloud providers to resolve issues.
• Improve monitoring, metrics, logging, dashboards, and alerting for visibility into health.
• Investigate complex issues spanning apps, Kubernetes, networking, infra, and cloud platforms.
• Identify repetitive or costly processes and replace with automation.
• Improve service scalability, capacity management, and operational readiness.
• Contribute to runbooks, procedures, and engineering best practices.
• Participate in production support and on-call rotation.
• Leverage AI-assisted development tools to accelerate automation and troubleshooting.

Skills

Kubernetes

Linux

CI/CD

Python

Go

Networking basics

Troubleshooting

AI tooling

Education

Bachelor's in CS

Tools

Jenkins

Ansible

Terraform

Prometheus

Grafana

Elastic Stack

Job description

Join the Future of Security at Netskope

Netskope (NASDAQ: NTSK) is a leader in modern security and networking for the cloud and AI era. We secure and accelerate cloud, data, and AI in real time, everywhere. Thousands of customers, including more than 30 of the Fortune 100, trust the Netskope One platform, its Zero Trust Engine, and the powerful NewEdge network to gain full visibility and control without performance trade-offs.

At Netskope, our technology is driven by our greatest strength: our people. We believe that belonging powers innovation, and success is both personal and organizational. We embrace differences in gender, ethnicity, beliefs, ability, and identity, creating an environment where every voice is heard and respected. We empower our employees to bring their authentic selves to work, grow their careers through continuous education and mentorship, and lead with transparency and curiosity. Join a team where you belong, where you are encouraged to be an entrepreneur, and where together, we continue to redefine the landscape of security.

Visit Careers at Netskope to learn more. Follow us on LinkedIn and Instagram.

Please note, this team is hiring across multiple levels. Candidates will be individually assessed and appropriately leveled based on their skills and experience.

About the Role

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.

• , 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.

What You Will Be Doing

• 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.

Required Skills and Experience

• 5+ years of experience in DevOps, Site Reliability Engineering, Platform Engineering, infrastructure engineering, or a related role. Staff-level candidates will typically have 8+ years of relevant experience.
• Strong hands-on experience with Linux and troubleshooting production systems.
• Experience deploying and operating Kubernetes-based services in production.
• Experience with at least one major public or private cloud platform such as AWS, GCP, Azure, or OpenStack.
• Solid understanding of networking fundamentals including TCP/IP, DNS, load balancing, SSL/TLS, and cloud or Kubernetes networking.
• Programming and automation experience using Python, Go, or a similar language.
• Experience with CI/CD, infrastructure automation, or configuration management using tools such as Jenkins, Ansible, Terraform, or equivalent technologies.
• Experience with production monitoring and observability using technologies such as Prometheus, Grafana, Sumo Logic, Elastic Stack, or equivalent platforms.
• Strong troubleshooting and problem-solving skills across applications and infrastructure.
• Ability to independently own and deliver technical projects.
• Strong written and verbal communication skills and the ability to collaborate effectively with geographically distributed teams.
• Hands-on experience using AI-assisted development tools and coding agents to accelerate software development, automation, testing, debugging, and problem solving, with the ability to review, validate, and take ownership of AI-generated code.

Preferred Qualifications

• Experience building internal platforms, developer tooling, release automation, or other systems that improve engineering productivity.
• Experience troubleshooting distributed systems and large-scale cloud services.
• Strong software engineering practices, including code review, testing, debugging, and maintainability.
• Experience working across multiple cloud or hybrid-cloud environments.

Additional Expectations for Staff-Level Candidates

Staff-level candidates should demonstrate technical leadership beyond individual project execution. This includes:

• Leading complex technical initiatives and driving solutions across multiple teams or systems.
• Designing platforms, automation, or architectural improvements that have broader engineering impact.
• Providing technical direction, mentoring engineers, and helping raise engineering standards across the organization.

Education

BS in Computer Science, Engineering, or equivalent practical experience required. An advanced degree is strongly preferred.

Equal Employment Opportunity Statement

Netskope is committed to implementing equal employment opportunities for all employees and applicants for employment. Netskope does not discriminate in employment opportunities or practices based on religion, race, color, sex, marital or veteran statues, age, national origin, ancestry, physical or mental disability, medical condition, sexual orientation, gender identity/expression, genetic information, pregnancy (including childbirth, lactation and related medical conditions), or any other characteristic protected by the laws or regulations of any jurisdiction in which we operate.

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