Sr. Staff Engineer
Dem
Posted on 3/15/2024
INACTIVE
Netskope

1,001-5,000 employees

Global cybersecurity leader providing Zero Trust cloud, data, and network
Company Overview
Netskope, a prominent player in global cybersecurity, offers a unique blend of cloud, data, and network security solutions, underpinned by Zero Trust principles, which sets them apart from competitors. Their Intelligent Security Service Edge (SSE) platform provides unparalleled visibility into cloud, web, and private application activity, trusted by over 25 Fortune 100 companies. The company's commitment to partnerships with other industry leaders further enhances their ability to secure customers' cloud journeys, demonstrating their adaptability to evolving threats, technology shifts, and regulatory changes.
Data & Analytics
Cybersecurity

Company Stage

Series G

Total Funding

$1.5B

Founded

2012

Headquarters

Santa Clara, California

Growth & Insights
Headcount

6 month growth

8%

1 year growth

17%

2 year growth

40%
Locations
Washington, DC, USA
Experience Level
Entry
Junior
Mid
Senior
Expert
Desired Skills
TCP/IP
Rust
Python
Apache Kafka
Redis
Data Analysis
Google Cloud Platform
CategoriesNew
Backend Engineering
Software Engineering
Requirements
  • 12+ years experience in designing and coding scalable distributed systems
  • Experience in building big data pipelines that manage petabytes of data and ingest billions of data items every day.
  • Experience with big data analytics
  • Excellent algorithm, data structure, and coding skills with Python, Go, C++ and / or Rust
  • Experience coding with OSS like Kafka, Redis, and Clickhouse, as well as cloud infrastructure, ideally GCP
  • Excellent written and verbal communication skills
  • Bonus points for proficiency in networking protocols and network security such as TCP/IP, TLS, IPSec/GRE, PKI, etc.
  • Bonus points for contributions to the open source community
Responsibilities
  • Designing and implementing planet-scale distributed data platforms, services and frameworks including solutions to address high-volume and complex data collections, processing, transformations and analytical reporting
  • Working with the application development team to implement data strategies, build data flows and develop conceptual data models
  • Understanding and translating business requirements into data models supporting long-term solutions
  • Analyzing data system integration challenges and proposing optimized solutions
  • Researching effective data designs, new tools and methodologies for data analysis
  • Providing guidance and expertise to other developers on the effective implementation of data models, and building high throughput data access services
  • Providing technical leadership in all phases of a project, from discovery and planning through implementation and delivery.