Platform Engineer

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 Linked In and Twitter@Netskope.

About Us:

We are seeking a detail-oriented and insightful Engineer to join our Platform Growth Engineering team  this role, you will be responsible for transforming raw data from systems and services into actionable insights. Using these insights, you will work with both business and technical teams to drive critical decisions and coordinate schedules with a focus on optimizing platform performance and scale.

This is a highly collaborative role. You will work closely with various internal and external stakeholders to understand their needs, analyze complex datasets, and communicate your findings effectively. If you have a passion for uncovering trends, solving problems with data, and helping an organization leverage its information assets, we want to hear from you.

• Work with internal and external stakeholders to gather situational inputs that will impact platform-product growth analysis
• Identify and track platform-product gaps and drive to resolution
• Collaborate with SRE and engineering development teams on data analysis for various systems and services
• Identify and gather relevant data from internal sources
• Apply statistical techniques and methodologies to analyze complex datasets
• Perform exploratory data analysis to identify trends, patterns, correlations, and anomalies

• Must be a U.S. Citizen and eligible to obtain or hold a security clearance (e.g., Public Trust, Secret, or higher).
• Familiarity with Fedramp High and PBMM compliance environments
• Degree holders in STEM-related fields or equivalent experience
• Deep knowledge of networking and distributed systems with emphasis on data analysis for the purpose of balancing between scale and performance
• Proficiency in at least one programming language for data analysis (e.g., Python with libraries like Pandas, Num Py, Matplotlib, or R).
• Strong understanding of data modeling and best practices for event capture, ETL, and warehousing
• Experience with data visualization tools (e.g., Tableau, Grafana, Google Data Looker Studio).
• Understanding of network protocols and how data networks work