לוח משרות דרושים הייטק תוכנה במרכז

Cynet is looking for an experienced Windows C++ Developer to join our award winning Windows EDR team!


What will you do:

* As a core member of the Windows development group, you will take part in designing and implementing drivers, services, and low-level components of Cynet’s EDR agent.
* You will work in a complex multithreaded environment, collaborate closely with security researchers, and develop innovative detection and protection capabilities across Windows OS internals.
* You will own features end-to-end from design and architecture, through hands-on implementation, performance tuning, and integration into our production environment.

About Us:
Cynet is a leader in threat detection and response, designed to simplify security for organizations of all sizes. Our mission is to empower lean security teams and their partners with an AI-powered, unified platform that autonomously detects, protects, and responds to threats - backed by 24×7 security experts. With a Partner First mindset , we focus on helping customers and partners stay protected, operate confidently, and achieve their goals. Our vision is to give every organization true cybersecurity peace of mind, providing fast, accurate protection without the noise or complexity.

we are seeking a talented data Scientist to join our team. In this role, you will develop and implement ML models to support risk assessment and decision-making processes. The ideal candidate combines strong analytical skills with practical experience in building and deploying Machine Learning models in a financial or fintech environment. Responsibilities:
* Develop, validate, and implement Machine Learning models (Regression, Classification, Supervised/Unsupervised).
* Analyze large datasets to extract insights and support decision-making.
* Collaborate with cross-functional teams to integrate models into production systems.
* Apply Gen-AI techniques where applicable to enhance model performance.
* Document model development processes and results.

We are seeking a Data Engineering Lead to own and scale data platform infrastructure

Build our new data Lakehouse to support various product and business needs
Support cutting-edge AI Agents and cybersecurity use cases
Be part of the Data and AI Algorithms group
Collaborate closely with dev teams, AI/ML engineers, security researchers and business teams
Ensure the availability, reliability and quality of our data infrastructure
Help define best practices for data modeling and orchestration at scale

We're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with software engineers and product managers, we want you to join our team.



Responsibilities:

Take responsibility and lead the development of multiple components of the system in a dynamic environment.
Design, implement, and innovate features using cutting-edge technologies.
Design, implement, and innovate end-to-end major features from frontend to backend.
Work closely with product managers, architects, and software engineers to deliver the best customer and user experience.
Lead the growth of the frontend infrastructure, both individually and by working with others.
Promote high-quality design and testing of frontend components and infrastructure.

This is a research‑first role focused on deeply understanding LLM internals to improve the security of AI agents. Youll design careful experiments on activations and interpretable features- e.g., probing, attribution & ablation/patching, representation‑geometry analyses-to uncover mechanisms behind jailbreak, indirect prompt injection, and other attacks. Then translate those insights into signals that can be used for detection and analysis of a model response.

The field of LLM interpretability at scale is exploding, with several major publications in the last months, and major opportunities for innovation.



What Youll Do

Investigate model internals, including activation/features analysis, unsupervised clustering, discovery of directions in latent space, etc. It may also require training specific model parts to improve interpretability metrics.
Design security‑grounded evaluations: curate datasets for different attack types, evaluate performance of different white box (model internals) methods compared to black box (input/output only) baselines.
Publish and share: produce Zenity Labs posts and open artifacts; when the work is strong, aim for tier‑1 ML venues (NeurIPS, ICML, etc.) and security forums. A publication of code and/or trained models in cases of community relevant novelty.
Build tools: Several open source libraries exist (like Anthropics attribution graphs infra), but the research in the field is very dynamic, which will require you to build and adapt tools to your own research directions. This also includes agents to automate research work and distill knowledge from designed experiments.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.



Responsibilities:

Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

As a Senior MLOps Engineer , you will design, build and scale our machine learning infrastructure. You will lead the end to end model lifecycle, from data and training to deployment and monitoring, ensuring reliable and high performance ML systems in production. You will work closely with our research and engineering teams to bring advanced AI models into production and help shape the future of our AI capabilities.

e're seeking an individual who not only possesses technical skills but also boasts a strong intuition for UX and product considerations. If you thrive on collaborating closely with product managers, UI/UX designers and software engineers, we want you to join our team.



Responsibilities:

Take responsibility and lead the development of multiple frontend components and modules of the system in a dynamic startup environment.
Design, implement, and innovate, high quality user interfacing features and designs
Work closely with product managers and designers to deliver the best customer and user experience.

Assume ownership of features and deliver value to customers
Design scalable Big Data pipelines using cutting-edge technologies
Deliver high-quality engineering applying common engineering principals
Work on building GenAI & Copilots security solutions
Think creatively about complex problems and deliver technological Innovation
Collaborate with others via open discussions, Design Reviews and Code Reviews

This role demands a unique blend of deep, code-level execution with a broad, system-wide architectural vision that spans our entire data, cloud, and AI stack.



Responsibilities:

Rapidly code and build functional proofs of concept (PoCs) and prototypes to explore and validate new architectures, data platforms, data processing frameworks, and GenAI capabilities.
Validate technical feasibility, scalability, and business impact through working software, not just diagrams or documents.
Partner closely with engineering, product and data science teams to translate emerging technologies into production-ready, scalable systems.
Lead architecture design reviews, proactively identify scalability and performance bottlenecks, and embed security principles into the design process from day one.
Serve as a technical leader and mentor, elevating the team's skills through pair programming, in-depth code reviews, and deep-dive sessions on system design and software craftsmanship.

Student for Computer Science or Software Engineering in semester 3 and above from a University.
GPA of 90 or higher.
Technical Skills: Wide knowledge of technologies and programming languages.
Real passion for computers and computer science.
Work experience in software development is required.
Ability to work at least 2.5 days a week from the company office in Tel Aviv.

As an Engineering Manager, you will need to manage, lead and guide a team of software engineers and identify and improve processes, procedures, technical knowledge and expertise of the team.
You will assume ownership of features and deliver value to customers, understand their domain & use cases and provide solutions to their problems
Design, implement and maintain micro-services implemented various technologies and services on AWS and Azure
Deliver high-quality reusable & maintainable features covered by unit tests, components and E2E tests with metrics and monitoring capabilities to enable proper deployment to production
Collaborate with team members and other groups via open discussions, design reviews, code reviews, etc

The Principal Software Architect role involves defining, leading, and evolving the technical architecture of our flagship product. Youll be the driving force behind critical architectural decisions, ensuring our systems are scalable, reliable, and secure. This is a hands-on leadership role where youll balance long-term architectural vision with the immediate needs of delivery.

Beyond designing robust solutions, youll play a key role in shaping our engineering culture. Youll provide technical guidance across the entire software development lifecycle, and collaborate closely with cross-functional teams, including DevOps, QA, Automation, Product, Support, Sales, and Engineering leadership.

Key Responsibilities
Define and evolve the technical architecture of our product across its SaaS, client-server, and multi-OS deployments.
Ensure the scalability, security, performance, and maintainability of our microservices-based systems.
Lead the technical design and execution for new features, from initial concept to final deployment.
Collaborate with DevOps on containerization, orchestration, and advanced CI/CD pipelines (e.g., Docker, Podman, Kubernetes).
Partner with QA & Automation to guarantee testability, resilience, and high-quality delivery.
Work closely with product teams to translate business requirements into robust technical solutions.
Mentor and provide technical guidance to developers, team leaders, and group leaders to foster a strong engineering culture.
Drive the adoption of architectural best practices in code quality, design patterns, and system integration.
Collaborate with Support & Sales to understand customer needs and inform architectural improvements.
Serve as the technical authority for governance, reviewing designs, enforcing architectural guidelines, and ensuring consistency across all engineering teams.