Checkpoint Products NGTX is looking for a personal contributor and top-notch Tech Lead who can join our group that focuses on Cyber Security Engines both on Cloud and on-prem, both heuristic engines and Machine Learning Models.
You are:
A team player on how to share knowledge has a natural ownership approach and is motivated to do his best for a common goal. That wants to get his hand dirty and build the next generation Cyber Security engines with real passion to help our customers from real world malware infections. Using our cloud platform and on-prem solution that serves thousands of customers and millions of endpoints.
Key Responsibilities
Hands-on through expertise in owned domains of expertise. Recognition of people cross organization in leadership of such domains.
Focused on designing, leading, and hands-on development of cloud and on prem platforms.
Provide technical guidance, methodologies, tools and coaching to developers and Data Scientists.
Provide technical solutions based on Machine learning models and/or heuristic solutions based on data analysis.
Ensure software meets all requirements of quality, reusability, security, scalability, modifiability, extensibility, future architectural needs, etc.
Requires specialization and expertise in Networking, interfaces, components, and design patterns, Operating systems
Requires Expertise in Cyber Security and Threats, always be on top of latest malware attacks techniques and patterns
Requires Expertise with Relevant CheckPoint Products.
Lead and perform POC for concepts and new approaches.
Innovate and Create new Engines and new Capabilities to perform Cyber Security.
Technically sync all R&D functions to a complete and coherent solution.
Requirements: Can Do approach, self-taught, Capable of taking an idea to a working solution with proven results.
Experience of at least 7+ years in design, hands-on development of distributed software applications and cloud platforms focus on AWS.
Experience in software development and coding in various languages, Especially C/C++ & Python.
Experience in Machine learning models and Data analysis.
Experience in messaging and integration technologies and components.
Excellent knowledge of software and design.
Experience and deep background with Linux-based OS.
Experience with software as a Service (SaaS), Platform as a Service experience in PaaS, e.g. Kubernetes, Docker, using at least one of the following platforms: AWS, MS Azure, Google Cloud.
Understanding of the security world and cloud security.
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