דרושים » תוכנה » Senior Security Researcher

ActiveFence is seeking an experienced Malware Research Director to build and manage multiple teams dedicated to malware research. This role presents an exciting opportunity to establish a new operation from the ground up, creating processes, optimizing and setting up cross-team collaboration while serving as the primary client interface. The position is primarily leadership, client-facing, creating solutions and requiring exceptional team-building and operational setup skills. The ideal candidate demonstrates high technical skills, proven experience in building teams from scratch, establishing new operations, and strong client relationship management capabilities.
Key Responsibilities:
* Establish operational processes, workflows, and quality standards for the new teams
* Coordinate with other departments to integrate the new operation into the existing infrastructure
* Serve as primary client interface, managing relationships and ensuring client satisfaction
* Present research findings and malicious evidence to clients and stakeholders
* Advise on technical aspects for malware research challenges and automated solutions
* Create training programs and onboarding processes for new team members
* Develop performance metrics and evaluation frameworks for team effectiveness
* Lead client meetings, requirement discussions, and project planning sessions
* Collaborate with sales and business development teams on client engagements


About ActiveFence:
ActiveFence is the leading provider of security and safety solutions for online experiences, safeguarding more than 3 billion users, top foundation models, and the world’s largest enterprises and tech platforms every day. As a trusted ally to major technology firms and Fortune 500 brands that build user-generated and GenAI products, ActiveFence empowers security, AI, and policy teams with low-latency Real-Time Guardrails and a continuous Red Teaming program that pressure-tests systems with adversarial prompts and emerging threat techniques. Powered by deep threat intelligence, unmatched harmful-content detection, and coverage of 117+ languages, ActiveFence enables organizations to deliver engaging and trustworthy experiences at global scale while operating safely and responsibly across all threat landscapes.

Hybrid:
No

Were looking for an exceptional Lead Security Researcher to join our world-class Security Research organization. This is a hands-on technical leadership role for a senior researcher who wants to drive research direction, depth, and real-world impact.
This role sits at the intersection of deep offensive research and strategic defensive thinking - influencing how modern cloud-native attacks are detected, understood, and stopped at scale.
What Youll Do:
Provide technical leadership and mentorship to security researchers, setting a high bar for research quality, depth, and execution.
Research and analyze advanced attack techniques targeting Linux-based cloud-native environments (containers, Kubernetes, serverless).
Reverse engineer Linux malware to uncover behavior patterns, execution flows, and persistence mechanisms.
Study real-world threat actor techniques and translate insights into actionable detection, prevention, and hardening strategies.
Design and prototype advanced detection and observability mechanisms, including kernel- and runtime-level approaches (e.g., eBPF).
Turn cutting-edge research into scalable security capabilities that protect large-scale production systems.
Collaborate closely with engineering and product teams to ensure research outcomes are practical, impactful, and production-ready.
Influence Aquas long-term security strategy through research-driven insights.

we are looking for an experienced and proactive Senior IT Systems Engineer to join our growing IT team. This role will be pivotal in managing our modern, cloud-first infrastructure with a focus on Azure, AWS, Office 365, Intune, and enterprise security platforms. The ideal candidate is a senior-level engineer who thrives on automation, scalability, and supporting a dynamic, hybrid workforce.
Key Responsibilities:
Design, manage, and secure systems across Azure, AWS, Office 365, and Docker-based environments.
Oversee device management policies and compliance via Microsoft Intune across Windows, macOS, and mobile platforms.
Lead onboarding and offboarding workflows, integrating automation and security best practices.
Develop self-service solutions and automated workflows for IT operations using tools like PowerShell, Python, Azure CLI, AWS CLI, and code/no-code platforms (e.g., Workato, Torq).
Administer Entra ID (Azure AD), including conditional access, MFA, and role-based access control (RBAC).
Enforce endpoint and cloud security using CrowdStrike, firewalls, and Cato Networks, and conduct routine audits.
Troubleshoot and manage complex network environments, VPNs, and cloud-based firewalls.
Provide advanced technical support and guidance to internal IT and service desk teams.
Maintain comprehensive documentation and mentor junior staff.

We are looking for a talented Automation Engineer to join our team.
As a team, we are focused on delivering high-quality, scalable infrastructure and backend features.
In this role, youll be responsible for developing and maintaining automation tests and infrastructure, while also contributing to MANUAL QA efforts when needed. Youll collaborate closely with developers, product managers, and QA professionals to ensure the reliability and performance of our systems.
What Youll Do:
Develop and maintain automation tests and infrastructure to support backend and data -intensive features. Be responsible for performance, system, and correctness tests for the team. Expand automation TEST coverage across multiple components and environments. Participate in manual testing efforts when needed, especially during regression cycles or critical releases. Collaborate with developers, product managers, and other QA engineers to ensure seamless workflows and high-quality deliverables. Participate in code reviews and provide feedback on quality and performance-related issues. Be an integral part of grooming, retrospective, and sprint planning meetings to help shape priorities, improve processes, and ensure team alignment. Stay current with industry trends and best practices in automation and Quality Assurance.

Position Intro:
We are the premier provider of mission-critical, cloud-based intelligent decisioning across pricing, rating, underwriting, and product personalization. These fully-integrated solutions provide ultra-fast ROI and are designed to transform how global insurers and banks are run by unlocking value across all facets of the business. We have been innovating for insurers and banks since 2001 with customers in over 35 countries across six continents and offices in the Americas, Europe, Asia Pacific, and Israel.

You will be part of our copmpany's REM (Road Experience Management) department which is responsible for the automatic High Definition map-making process, which is a key technology in our copmpany's autonomous driving and high-end Driving Assistance systems. This process involves running advanced algorithmic code in a massively parallel way, utilizing Big Data technologies, and as such is a complex system that requires a deep understanding of our map creation process as well as advanced technical abilities. You will be part of our algorithmic teams, being a key team member and owner of development processes.
What will your job look like?
Write clean, modular, and maintainable code in Python to implement algorithms efficiently.
Design and optimize data structures to support algorithmic solutions, ensuring scalability and performance.
Work closely with cross-functional teams.
Write efficient, reliable, and maintainable code to implement algorithms, ensuring high performance and scalability. Debug and troubleshoot software issues as needed.
Contribute to the design and architecture of software systems, ensuring that algorithmic components integrate seamlessly.
Analyze and optimize algorithms for speed, memory usage, and efficiency. Implement parallel processing and optimization techniques to enhance algorithm performance.