Research SW Engineer

Cato Networks; United States; On-site; USD 120,000 - 170,000; Full time

Job summary

Cato Networks is seeking a Software Engineer to join the Research & Infrastructure team within the Security Research group. You’ll build systems behind Cato's security research and help translate that research into product capabilities.

You’ll work with researchers to understand needs and own solutions end-to-end from requirements and architecture to implementation and delivery. Our team builds platforms for threat intelligence, malware hunting, and attack analysis, with scalable data pipelines.

Qualifications

• 3+ years of server-side development in Python.
• 3+ years of web development with modern frameworks.
• Strong knowledge of architecture and end-to-end development.
• Experience with relational and NoSQL databases.
• Fluent English and clear written communication.

Responsibilities

• Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces.
• Build threat intelligence, malware hunting and attack analysis platforms that support Cato's security operations and its MDR service.
• Build tools that let researchers investigate threats, develop security content and create detection signatures.
• Design the workflows and infrastructure that bring research outputs into Cato's customer-facing products.
• Build scalable data processing and analysis solutions on the Cato Cloud data warehouse, automate protocol analysis, and integrate with internal and external services.

Skills

Python (server-side)

Web development

System architecture

Stakeholder requirements

Databases (MongoDB/Elasticsearch/MySQL

AI tools usage

English communication

Education

BSc in Computer Science

Tools

MongoDB

Elasticsearch

MySQL

Redis

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. 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.

Cato Networks is looking for a Software Engineer to join the Research & Infrastructure team in our Security Research group.

You’ll build the systems behind Cato's security research and help turn that research into product capabilities. You’ll work closely with researchers across the group to understand what they need, and you’ll own each solution from requirements and architecture through implementation and delivery.

Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day.

Responsibilities

• Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces.
• Build threat intelligence, malware hunting and attack analysis platforms that support Cato's security operations and its Managed Threat Detection & Response (MDR) service.
• Build tools that let researchers investigate threats, develop security content and create detection signatures.
• Design the workflows and infrastructure that bring research outputs into Cato's customer-facing products.
• Build scalable data processing and analysis solutions on the Cato Cloud data warehouse, automate protocol analysis, and integrate with internal and external services.

Requirements

• 3+ years of server-side development in Python.
• 3+ years of web development with modern frameworks.
• A strong grasp of software engineering fundamentals, including system architecture, code design and end-to-end development.
• Proven ability to turn stakeholder needs into clear requirements and working technical solutions.
• Experience with relational and NoSQL databases such as MongoDB, Elasticsearch, MySQL and Redis.
• Ability to use AI tools effectively in daily engineering work and critically evaluate their output.
• Strong ownership, initiative and organizational skills.
• Excellent communication and collaboration skills, with fluent English.
• BSc in Computer Science or a related field.

Advantages

• Experience with React.
• Experience with big-data technologies such as Apache Spark.
• Background in security or networking.