Staff Engineer DevOps, Agentic AI
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Job Location:
Monthly Salary:
Posted on:
9 hours ago
Vacancies:
1 Vacancy
Job Summary
About Netskope
Today theres more data and users outside the enterprise than inside causing the network perimeter as we know it to dissolve. We realized a new perimeter was needed one that is built in the cloud and follows and protects data wherever it goes so we started Netskope to redefine Cloud Network and Data Security.
Since 2012 we have built the market-leading cloud security company and an award-winning culture powered by hundreds of employees spread across offices in Santa Clara St. Louis Bangalore London Paris Melbourne Taipei and Tokyo. Our core values are openness honesty and transparency and we purposely developed our open desk layouts and large meeting spaces to support and promote partnerships collaboration and teamwork. From catered lunches and office celebrations to employee recognition events and social professional groups such as the Awesome Women of Netskope (AWON) we strive to keep work fun supportive and interactive.Visit us atNetskope Careers. Please follow us on LinkedIn and Twitter@Netskope.
About the role:
Please note this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.
As a DevOps Engineer you will be critical to designing provisioning and managing scalable cloud infrastructure and environments for our Agenti AI platform. You will collaborate closely with application teams to build robust CI/CD pipelines ensure reliable deployments and maintain highly available Kubernetes clusters. Your expertise will extend to Infrastructure as Code (IaC) observability cluster scaling and release management across multiple environments. You will ensure production environments are secure scalable and efficiently managed while continuously improving automation and operational excellence.
Whats in it for you
You will be critical to deploying and managing core infrastructure and platform systems that power our products. This means you wont just maintain existing systems; you will be building and standardizing foundational environments using Infrastructure as Code. Your role is crucial in enabling engineering teams to ship reliably and at scale. If you thrive on solving complex distributed systems challenges improving deployment velocity and operating large-scale Kubernetes clusters this is the environment for you.
What you will be doing
- Work closely with the engineering team AI/ML engineers to design and architect scalable secure cloud environments for Agentic Applications using Infrastructure as Code (Terraform).
- Design implement and manage CI/CD pipelines to ensure safe repeatable and reliable deployments across environments.
- Manage and improve release processes including versioning rollback strategies blue/green and canary deployments.
- Provision and manage Kubernetes clusters across multiple environments ensuring high availability and scalability.
- Implement auto-scaling strategies for infrastructure and workloads to optimize performance and cost.
- Set up and manage monitoring logging and alerting systems for infrastructure and application workloads.
- Operate and oversee large Kubernetes clusters supporting production workloads.
- Improve reliability quality and time-to-market of our software delivery lifecycle.
- Measure and optimize system performance proactively identifying bottlenecks and implementing improvements.
- Provide primary operational support and engineering for multiple large-scale distributed systems and cloud environments.
- Operate and oversee large Kubernetes clusters with GPU workloads.
Required skills and experience
- 8 years of professional experience building and operating core infrastructure systems.
- Strong hands-on experience with Infrastructure as Code tools such as Terraform.
- Deep experience with Kubernetes and container orchestration at scale.
- Experience with major cloud providers (AWS Google Cloud or Azure).
- Experience designing and managing CI/CD pipelines (GitHub Actions GitLab CI Jenkins or similar).
- Strong scripting skills using languages like Python or Bash and experience with Git and GitHub workflows.
- Experience implementing monitoring and observability solutions using tools such as Prometheus Grafana or similar.
- Proven track record of building and operating scalable reliable and secure production systems.
- Strong troubleshooting skills across distributed systems and cloud-native architectures.
- Proactive attitude in identifying reliability risks performance bottlenecks and automation opportunities.
- Comfortable working with ambiguity and rapid change in a dynamic environment.
- Familiarity with LLM development deployment and optimization techniques
- Familiarity with high-performance large-scale ML systems and their unique infrastructure needs.
Education
- BSCS or equivalent required MSCS or equivalent strongly preferred
#LI-SM1
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.
Netskope respects your privacy and is committed to protecting the personal information you share with us please refer toNetskopes Privacy Policyfor more details.
The application window for this position is expected to close within 50 days. You may apply by filling out the below information or visiting ourNetskope Careers site.
Required Experience:
Staff IC
Key Skills
- Computer Science
- Docker
- Kubernetes
- Python
- VMware
- C/C++
- Go
- System Architecture
- gRPC
- OS Kernels
- Perl
- Distributed Systems
About Company
Netskope, a global cybersecurity leader, is redefining cloud, data, and network security to help organizations apply zero trust principles to protect data.
