Description: As a SOC Manager, you will be responsible for leading and managing the Security Operations Center 24/7. Your primary responsibilities include security events monitoring, management, and incident response - ensuring incident identification, assessment, quantification, reporting, communication, mitigation, monitoring. Additional responsibilities include:
Ensuring compliance with SLA, process adherence, and process improvisation to achieve operational objectives.
Revising and developing processes to strengthen the current Security Operations Framework, reviewing policies, and highlight the challenges in managing SLAs.
Perform threat management, threat modelling, identify threat vectors, and develop use cases for security monitoring.
Creation of reports, dashboards, metrics for SOC operations, and presentation to Sr. Mgmt.
Co-ordination with stakeholders, build and maintain positive working relationships with them.
Requirements: 3+ years of experience working in Cyber-security related positions.
2+ years of management experience.
Familiarity with endpoint security.
Previous experience as a SOC Manager – an advantage.
Proficient in Incident Management and Response.
Experience in security device management and SIEM / Big Data tools.
In-depth knowledge of security concepts such as cyber-attacks and techniques, threat vectors, incident management, etc.
Experience in threat management, malware analysis, and reverse engineering – an advantage.
Knowledge of various operating system flavours including but not limited to Windows, Linux, Unix.
Proficient in the preparation of reports, dashboards, and documentation.
Excellent communication and leadership skills.
Ability to handle high-pressure situations with key stakeholders.
Excellent Analytical skills, Problem-solving, and Interpersonal skills.
an IoT security startup, is looking for a senior AI / ML researcher to lead the algorithmic research and development of our AI network security anomaly detection solution, leveraging unique diversified company IP.
The ideal candidate is a strong AI / ML researcher, looking to work in a dynamic startup environment, solving challenging real world problems with state of the art algorithmic technologies (Coreset, outlier detection, deep learning, decision trees).
As part of the job the candidate will also research large datasets from real-world use cases, participate in generating the company’s intellectual property, and engage with customers’ Data Science teams
Model and implement anomaly detection algorithms as part of the company's products, based on the
Research, model and implement anomaly classification mechanisms
Work closely with university-based AI/ML research teams
Research large scale and diverse IoT data sets
Design and implement an innovative IoT security technology
Participate in generating the company’s Intellectual Property
company's break-through Coreset technology...