Sr. Staff Engineer, Observability

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4 months old

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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, 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 (pre and hopefully post-Covid) 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

Please note, this team is hiring across all levels and candidates are individually assessed and appropriately leveled based upon their skills and experience.

The Observability team works on some of the most challenging problems in cloud-scale observability, with a mission to achieve the highest standards of customer success. We build the tools and infrastructure used by every engineering team to develop, debug, scale and monitor the services that form the backbone of the Netskope Security Cloud Platform.

What’s in it for you

This is a highly visible and impactful role that spans all facets of our products, platform and services. You will be working with cutting edge, cloud-native technologies and solving the most challenging problems in cloud-scale observability and monitoring. The outputs of your work will help to ensure the Netskope Security Cloud provides a world-class experience for our rapidly-growing global customer base. 

What you will be doing

  • Partner with Site Reliability Engineers, Product owners, Application Developers, and Infrastructure engineers to design, develop, and manage telemetry (logs, metrics/APM, distributed tracing) solutions for large scale enterprise cloud.
  • Create scalable data mining and data analytics framework using cutting edge tools and techniques
  • Apply machine learning and data analytics to detect changes in data patterns for operational intelligence as well as business intelligence
  • Apply data modeling and predictive analysis to proactively predict possible issues ahead of time
  • Proactive system monitoring & alerting.

Required skills and experience

  • 10+ years of experience in software development
  • Minimum of 3 years of development experience in related fields like Observability, Site Reliability Engineering, Distributed Computing, Anomaly Detection, etc..
  • Strong expertise in data structures, algorithms, and software design.
  • Expert knowledge developing and debugging in GoLang or Python
  • Strong experience in one or more of the following areas: data mining, machine learning, recommendation systems, or artificial intelligence
  • Experience in the data warehouse space, custom ETL design & implementation
  • Experience developing applications on Container and Container Orchestration Tools (Docker, Kubernetes).
  • Direct exposure to the internals of Prometheus, influxdb, telegraf, grafana, m3db is a huge plus
  • Large distributed systems design and development experience is a bonus
  • Strong interest in learning new technologies.
  • Key words: Observability, Telemetry, Time Series Database (TSDB), Logging Drivers, Log Management, Alerting, Monitoring, Distributed Tracing, m3db, Cortex Metrics. 

Education

  • BSCS or equivalent required, MSCS or equivalent strongly preferred

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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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