招聘
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. It is led by networking and security pioneer Shlomo Kramer (Check Point, Imperva) and early investor (Palo Alto Networks, Exabeam, Trusteer and more). Cato’s unique technology inspired a brand-new product category, later named “SASE” by Gartner and a market expected to reach $28.5 billion by 2028.
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!
We’re looking for an experienced Software Engineer to join our Data Platform Group. In this key role, you will develop our data platform, working on cloud-based microservices data pipelines. As we are building the company data platform, it has direct impact on our customers and also enables many of the other groups in the organization. You will also be responsible for building microservices that need to work on big data scale (about 1M records/sec) in a law latency as part of a dynamic team.
Key Responsibilities:
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End-to-end development of company massive data infrastructures and services.
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Researching new technologies and adapting them for use in the company’s product
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Working closely with the product, DevOps, and security teams
Requirements:
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4+ years of experience with massive large-scale data systems platforms (Flink, Spark, Kafka, SQS...) and design principles (Data Modeling, Streaming vs Batch processing, Distributed Messaging...)
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Expertise in one or more of the following languages: Java, Scala, Go
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Hands-on experience with design and development production of large-scale distributed systems with an emphasis on performance
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Familiarity with no-SQL DBs and relational DBs. We’re using technologies such as Clickhouse, Document DB, My
SQL and Redis:
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Deep understanding of Object-Oriented Programming and software engineering principles
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Experience with microservices, k8s
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Advantage
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Familiar with AWS platform- Advantage
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Motivated fast independent learner and great at problem-solving
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A team player with excellent collaboration and communication skills.
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Bsc. in Computer Science from a known university
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关于Cato Networks

Cato Networks
Series DCato Networks Ltd. is a Tel Aviv, Israel-based network security company that develops Secure Access Service Edge (SASE) technology, which combines enterprise communication and security capabilities into a single cloud-based platform. The company was founded in 2015.
501-1,000
员工数
Tel Aviv
总部位置
$2.5B
企业估值
评价
3.9
10条评价
工作生活平衡
3.2
薪酬
3.1
企业文化
4.1
职业发展
4.0
管理层
3.4
72%
推荐给朋友
优点
Supportive and respectful management
Great team culture and collaborative atmosphere
Good career advancement opportunities
缺点
Heavy workload and frequent overtime
Fast-paced and stressful environment
Management communication and clarity issues
薪资范围
2个数据点
Junior/L3
Junior/L3 · Business Analyst
0份报告
$124,375
年薪总额
基本工资
-
股票
-
奖金
-
$105,719
$143,031
面试经验
64次面试
难度
3.4
/ 5
时长
14-28周
录用率
31%
体验
正面 68%
中性 22%
负面 10%
面试流程
1
Phone Screen
2
Technical Interview
3
System Design
4
Behavioral
5
Team Fit
常见问题
Tell me about a challenging project
System design question
Coding problem
Why this company
新闻动态
RSAC 2026: Nimmy Reichenberg, Cato Networks, SVP, Product Marketing - Yahoo Finance
Yahoo Finance
News
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3d ago
[HIRING] a Social Media Manager at Cato Networks! in Cato Networks
Company: Cato Networks Location: San Francisco, California, United States 📍 Date Posted: April 13, 2026 📅 Categories: #marketing #content #senior #fulltime Apply & Description 👉 https://jobboardsearch.com/redirect?utm_source=reddit&utm_medium=bot&utm_id=jobboarsearch&utm_term=digitalmarketingjobs.com&rurl=aHR0cHM6Ly9kaWdpdGFsbWFya2V0aW5nam9icy5jb20vam9icy80NDE0MTE5ODYtc29jaWFsLW1lZGlhLW1hbmFnZXI=
·
5d ago
·
1
De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine
In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil
·
6d ago
·
1
De Financiële Impact van Auto-Adaptieve Dreigingspreventie: Een Analyse van Cato Networks' Nieuwe Engine
In het huidige cloud-native landschap worstelen veel organisaties met de financiële en operationele last van traditionele beveiligingsmodellen. Statische security policies, die handmatig moeten worden geconfigureerd en onderhouden, zijn niet langer opgewassen tegen de dynamiek van moderne infrastructuren. Dit leidt tot een kostbare cyclus van constante aanpassingen, waarbij security-teams overbelast raken en het risico op menselijke fouten toeneemt. Een misconfiguratie kan niet alleen een veil
·
6d ago
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1