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Security Engineer


Imunify360 Security Suite is a product of CloudLinux Inc., the maker of the #1 OS in security and stability for hosting providers. Imunify is an innovative security solution designed specifically for shared and VPS/Dedicated servers. The automated, easy-to-use solution with the six-layer approach to security delivers comprehensive and complete attack prevention.

We are looking for someone who embodies our company values:

  • Curious: Be willing to do research and design experiments by being hands-on
  • Tenacious: Creating something new is hard work, and our Analytics team never gives up
  • Customer Passion: Be the backbone of our solution and help us stay ahead of malware developers.
  • Design for Scale: Work with the rest of the analytics and engineering team to make web-protection at scale possible
  • Agile: Some days you may spend researching and designing experiments while others are spent using your analytical toolbox to surface insights into real-time incidents and file infection.
  • Roll Up Your Sleeves: Partner closely internally to learn from others, and succeed as a team.

How you’ll have an impact:

  • Performing exploratory data analysis and building production machine learning models that identify malware, reveal hidden patterns in incidents, and help to determine file infections and malicious behavior.
  • Writing production and offline analytics code in Python
  • Working with distributed data pipelines
  • Communicating complex ideas effectively to a variety of audiences
  • Collaborate with engineering teams to strengthen our comprehensive security solution for web-hosting servers

Requirements

Past experience you’ll need:

  • Bachelor’s degree in computer science, applied mathematics, or an analytical field or equivalent practical experience
  • Hands-on statistical analysis with a solid fundamental understanding
  • Designing experiments and collecting data
  • Practical SQL knowledge
  • Experience in web development, specifically, the development in Python/PHP/JS
  • Understanding web-based security fundamentals
  • Familiarity with the Linux command line
  • Fluent in English

It would be plus:

  • Experience as ML/DS engineer
  • Building production ML models

Benefits

What’s in it for you?

  • A focus on professional development;
    • Training reimbursements
    • Mentor programs
    • Knowledge-Exchange programs
    • Interesting and challenging projects
  • Flexible working hours
  • Paid 24 days of vacation per year and unlimited sick leave
  • Medical insurance reimbursement
  • Co-working and gym/sports reimbursement
  • The opportunity to receive a reward for the most innovative idea that the company can patent.

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