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Netskope

Staff Site Reliability Engineer

Reposted 5 Days Ago
Remote
Hiring Remotely in United States
Expert/Leader
Remote
Hiring Remotely in United States
Expert/Leader
The Staff Site Reliability Engineer will enhance AI/ML infrastructure, manage CI/CD pipelines, ensure system reliability, and troubleshoot applications, focusing on cloud-based operations.
The summary above was generated by AI
About Netskope

Today, there's 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 at Netskope Careers. Please follow us on LinkedIn and Twitter@Netskope.

About the role

We are a team of software engineers focused on improving reliability, availability, latency, performance, efficiency, monitoring, emergency response, and capacity planning of the engineering stacks. If you are passionate about solving complex problems and developing cloud services at scale, we would like to speak with you.

As a SRE, you will be writing software to solve operational problems and drive cutting edge reliability and observability practices. Your expertise will also extend to setting up and maintaining monitoring, logging, and alerting systems to oversee extensive training runs and client-facing APIs. You will ensure that training environments are optimally available and efficiently managed across multiple clusters, enhancing our containerization and orchestration systems with advanced tools like Docker and Kubernetes.

  • Partner closely with service owners and engineers to develop reliable services driven by best practices
  • Develop software and tools to solve a variety of problems across service and infrastructure 
  • Set up and manage monitoring, logging, and alerting systems for extensive training runs and client-facing APIs.
  • Ensure training environments are consistently available and prepared across multiple clusters.
  • Develop and manage containerization and orchestration systems utilizing tools such as Docker and Kubernetes.
  • Improve reliability, quality, and time-to-market of our suite of software solutions
  • Measure and optimize system performance, with an eye toward pushing our capabilities forward, getting ahead of customer needs, and innovating for continual improvement
  • Provide primary operational support and engineering for multiple large-scale distributed software applications

Is this you?

  • Someone who works with a sense of ownership
  • Takes pride in building and operating scalable, reliable, secure systems
  • Are comfortable with ambiguity and change
  • You have a knack for troubleshooting complex systems and enjoy solving challenging problems
  • Proactive in identifying problems, performance bottlenecks, and areas for improvement
  • Has experience in working and collaborating with teams based across different geographies and time zones

Preferred skills and experience:

  • Software programming experience in any programming language
  • Good understanding of principles of distributed systems
  • Deep understanding of Kubernetes and Docker
  • Understanding of data technologies like Kafka, Yugabyte, Redis etc
  • Good understanding of AWS ecosystem
  • Basic understanding of networking
  • Exposure to Infrastructure as code tools like Terraform
  • Familiar with monitoring tools such as Prometheus, Grafana, or similar
  • 8+ years building core infrastructure

Nice to have experience

  • Experience in operating and monitoring services communicating across AWS and private clouds
  • Experience operating Kubernetes at scale

#LI-SC1

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 to Netskope's Privacy Policy for more details.

Top Skills

AWS
Azure
Bash
Docker
Git
Git
GCP
Grafana
Huggingface Transformers
Kubernetes
Llm
Prometheus
Python
PyTorch
Tensorrt
Terraform

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