Software Engineer - Data Platform

Cato Networks · Other US Location

Company

Cato Networks

Location

Other US Location

Type

Full Time

Job Description

Welcome to the future of cloud networking and security!  

Cato Networks is the first company to converge enterprise networking and security into one centralized and global service that is delivered by cloud. Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner. 

Cato is the brainchild of networking and security pioneers Shlomo Kramer (Check Point, Imperva) and Gur Shatz (Incapsula.) Cato Networks has raised $773 million dollars since 2015, achieving Centaur status with $100M+ in ARR, and a valuation of $3 billion dollars.

This is your opportunity to get on the rocket ship and join a company that is building a cutting-edge enterprise network and secure cloud platform and is on a fast track to becoming the worldwide market leader – don’t miss it!

Now we’re looking for an experienced Software Engineer for our Data group in Cato.
This role requires you to be a critical part of the data teams that build Cato Data Platform.
 

The position is based in Prague, and requires 3 days in the office per week.

Responsibilities: 

  • End-to-end development of company massive data infrastructures. 
  • Researching new technologies and adapting them for use in the company’s product 
  • Working closely with the product, DevOps, SRE, and Security teams

Requirements:

  • 8+ years of experience with massive large-scale data systems platforms 
  • Mastering data design principles - Data Modeling, Streaming vs Batch processing, Distributed Messaging 
  • Deep understanding of Object-Oriented Programming and software engineering principles  
  • Expertise in Java or/and Go programming languages
  • Hands-on experience with design and development production of large-scale distributed systems with an emphasis on performance 
  • Motivated fast independent learner and great at problem-solving  
  • A team player with excellent collaboration and communication skills.
  • Expertise in data technologies: Storm, Spark, Kafka, SQS, AWS Iceberg, AWS Athena - Advantage
  • Familiarity with no-SQL DBs and relational DBs Elasticsearch, MySQL, Clickhouse, Redis - Advantage
  • Experience with microservices, k8s - Advantage
  • BSc. in Computer Science from a known university - Advantage
Apply Now

Date Posted

06/05/2024

Views

31

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