SecOps Research Specialist

Company Overview:

Tencyle is an innovative cybersecurity startup committed to revolutionizing the industry with cutting-edge solutions. We are assembling a top-notch core team to redefine the cloud security market. Our solution detects attacks in real-time and helps SOC analysts respond up to 10 times faster while covering many use cases. Our platform significantly improves speed, efficiency, and productivity and enables you to deal with the cloud SecOps talent shortage.

About the Role:

As a SecOps Research Expert, you’ll join a dynamic and innovative startup environment focused on leveraging generative AI to enhance and automate SecOps processes. In close collaboration with GenAI engineers, you’ll research and provide insights into the daily challenges, workflows, and priorities of SecOps teams while testing and improving the solutions. Your contributions will help define and design AI-driven solutions, ultimately improving how SecOps teams operate and enhancing their efficiency through automation.

Responsibilities:

• Identify and define the needs of SecOps teams by researching processes and workflows and translating SecOps needs into actionable AI development steps.

• Design the reasoning structure of AI-based solutions in collaboration with AI engineers to ensure alignment with real-world SecOps requirements.

• Provide continuous feedback on the AI system’s output, helping to refine and improve the AI’s accuracy and relevance over time.

Required Skills and Qualifications:

• Experience: Minimum of 2 years of experience in blue team and defensive cybersecurity, including exposure to various cybersecurity systems (SIEM, EDR, SOAR) and domains (networking, systems, cloud).

• Technical Knowledge: Proficiency in key cybersecurity fields with a demonstrated

ability to quickly learn and adapt to new tools and systems. Familiarity with major cybersecurity solutions and vendors is essential.

• Analytical Skills: Strong analytical skills with a focus on problem-solving, critical thinking, and generating innovative solutions.

• Communication and Teamwork: Effective communicator with the ability to collaborate across diverse teams, including GenAI engineers and other stakeholders.

• Adaptability and Self-Learning: Quick learner with a proactive approach to self-learning and an eagerness to enhance skills through hands-on experience.

• Coding Skills (Advantage): Basic knowledge of coding is a plus, as it will assist in understanding AI structures and contributing to automation initiatives.

• Curiosity in AI: Enthusiasm for AI and a keen interest in exploring its applications in cybersecurity.

Key Technologies:

• Experience or willingness to learn and adapt to all major cybersecurity solutions and vendors as the role requires working with various tools.

Success Metrics:

• Demonstrates innovation and out-of-the-box thinking to advance AI capabilities.

• Shows dedication, a strong work ethic, and a passion for driving progress and achieving meaningful outcomes.

• Contributes to the ongoing development of AI solutions tailored to real SecOps needs.

• No formal certification is required, but a strong foundation in defensive cybersecurity is essential.

• Relevant certifications (e.g., CISSP, CEH) are advantageous.