Principal Cyber Security Engineer
Highly skilled Principal Cyber Security Engineer with expertise in reverse engineering and cybersecurity product development is needed for our Monmouth County, NJ based client. This senior-level position requires deep technical knowledge and advanced problem-solving skills. If you have developed cyber security products for a software company, have strong computer science and programming skills, knowledge of reverse engineering ransomware, an understanding of low-level OS, and are looking for an outstanding opportunity, please contact us. This hybrid position offers good base salary, benefits, and generous stock options.
Key Responsibilities:
- Perform reverse engineering of ransomware, malware, exploits, and other cybersecurity threats.
- Analyze and deconstruct binary files (executables, DLLs, etc.) to identify their purpose, functionality, and vulnerabilities.
- Develop and implement cybersecurity solutions based on reverse engineering findings.
- Collaborate on creating advanced ransomware protection products leveraging Machine Learning (ML) and Artificial Intelligence (AI).
- Stay ahead of emerging cyber threats and adapt strategies to counteract them effectively.
- Produce detailed technical documentation and reports on findings and processes.
- Collaborate with cross-functional teams in the US and Asia, ensuring seamless coordination and knowledge sharing.
Required Skills and Experience:
- Reverse Engineering Proficiency: Ability to dissect ransomware, analyze binaries (executables, DLLs), and provide actionable insights.
- Understanding of Low-Level OS Internals: Expertise in computer architecture, assembly language, and operating system fundamentals.
- Strong Computer Science Foundations: Proficiency in data structures, algorithms, and operating system fundamentals.
- Software Development Expertise: Proven experience in C and Python, with a focus on low-level programming and reverse engineering.
- Cybersecurity Product Experience: Previous work in developing cutting-edge cybersecurity products in a software company.
- Analytical Skills: Ability to dissect and analyze software, uncover vulnerabilities, and recommend security measures.
- Collaborative Mindset: Capable of working effectively within a team in a matrixed organization across different time zones.
- Communication: Strong written and verbal communication skills for documenting findings and collaborating with diverse teams.
Preferred Qualifications:
- Experience in exploit development and vulnerability research.
- Familiarity with modern attack vectors and defense mechanisms.
- Hands-on experience with tools like SVN, Git, Jira, and Confluence.
- Knowledge of network protocols and cybersecurity trends.
- Bachelor’s degree in computer science or related field (advanced degree preferred).
- 7-10 years of professional experience in cybersecurity or related roles.
Senior Software Engineers, Machine Learning
Our client is a growing software company. Several key positions have opened because of this expansion including Software Engineers at Senior and Principal levels with machine learning experience. These are hybrid positions in Monmouth County. If you have solid computer science fundamentals (data structures, algorithms, etc.) and experience with C, Python and Linux you may qualify for one of these exceptional opportunities.
The Software Engineering - ML roles focus on developing and maintaining high-performance software with a strong foundation in software engineering fundamentals. The position requires expertise in designing, training, and optimizing machine learning models, particularly for anomaly and ransomware detection. The engineer will work collaboratively in a Scrum environment to deliver production-ready code, integrate components, and resolve customer issues. Proficiency in C, Python, and related libraries (e.g., pandas, scikit-learn) for Linux, along with a solid understanding of algorithms, data structures, and Agile methodologies, is essential. Strong communication, teamwork skills, and a commitment to continuous learning are key to success in this role. Full job description is available.
Requirements include: BS, MS or PhD in CS, CE, EE, Math, or other technical discipline; a few years of software development; Machine Learning knowledge; team player with great interpersonal skills; desire to contribute and learn;