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We are looking for a Linux Low Level Security Research team manager for our Tel Aviv R&D center. You will manage and lead a team that is responsible for researching the most recent Malwares, Kernel mitigations, EBPF, and advanced cybersecurity threats, as well as designing, developing and improving our Linux Agent ability to protect against different threats. The position includes researching Linux internals, Reverse engineering, malwares analysis, diving into internals of the Linux kernel and user-mode code, java, javascript and more.
Key Responsibilities
Leading the existing employees as well as hire future employees to join your team.
Be a thought leader around anti-malware detection and protection; designing, planning, and improving our anti-malware detection and prevention capabilities.
Lead the rapid response and find ways to prevent new critical vulnerabilities.
Respond to malware-based security events from customers.
Stay up to date with current malware and new attackers techniques.

Required Software Engineer Graduate - Israel- ETR
Job Description
Please note this posting is to advertise potential job opportunities. This exact role may not be open today but could open in the near future. When you apply, a representative may contact you directly if a relevant position opens.
Location: Caesarea or Tel-Aviv, Israel
Start Date: As soon as possible
Application will be received until further notice
What You'll Do:
You'll develop Core Software technologies at the heart of tomorrow's leading infrastructure solutions, tackling the entire range of challenges from user-facing API-s, through high-level algorithm
The silicon One team is leading the silicon development. We use the latest silicon technologies to build the largest scale and most complex devices at the edge of feasibility.
If you want to work with amazing people, developing the first iteration of world-class products, join us!
Who You'll Work With:
You'll be part of the Silicon One team - an amazing group driving our game changing next generation network devices. Our unique team works in a startup atmosphere inside a stable and leading corporate environment on the outside.
We are transforming the industry and building a new internet for the 5G era, providing a unified, programmable silicon architecture that is the foundation of all our future routing products.
Our design center is unique - hosting all silicon HW and SW development disciplines inside one site.
Our devices are designed to be universally adaptable across service providers and web-scale markets, designed for fixed and modular platforms. Our devices deliver high speed without sacrificing programmability, buffering, power efficiency, scale or feature flexibility.
We are a revolutionary, ground-breaking technology for our customers and end users for decades to come! The Internet now has a new faster, better, safer engine!

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

We are redefining how modern organizations secure software from open source and custom code to AI-generated components. As the creators of the first AI Native AppSec Platform, we help global enterprises stay safe, fast, and compliant in an era of AI-driven development. Our platform combines intelligent automation, deep risk visibility, and developer-first experiences, shaping the future of application security.

We are also committed to building a collaborative, empowering workplace. If you are excited about this role but do not meet every requirement, we encourage you to apply. Your perspective could be exactly what we need!

AI now writes code faster than any team could before. The hard part has moved to verification and trust: can you trust what was generated, and is it secure? That question is our category, and it is growing fast. At our company we make AI-speed engineering trustworthy for some of the largest enterprises in the world, and we are building the next version of the company to lead that category.

This is not a backlog-grooming role. We are looking for a PM who owns a bet end to end and runs it like a founder.

What youll own

A product bet from first idea to real usage by demanding enterprise customers

The business case behind it, covering both the technology and the go-to-market

Fast prototyping with AI to turn rough ideas into something people can react to

Clear kill criteria, and the honesty to act on them when the signal turns

Product direction and tight partnership with Engineering, who own execution

UX as part of the spec, not a finishing touch

A transparent roadmap with no surprises

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

we are looking for aSenior Software Engineerto join theSecrets Hubgroup and help evolve our modern, multi-cloud secrets management SaaS platform.
Secrets Hub integrates with AWS, Azure, GCP, and HashiCorp Vault to give organizations a centralized, secure, and seamless way to manage secrets across cloud environments. As a senior engineer, youll join a strong engineering team and contribute to the design, development, and scaling of core product services used by some of the largest enterprises in the world.
This is a hands-on role for someone passionate about solving deep technical problems, writing clean code, and working in a fast-paced, cloud-native environment.
Responsibilities:
Design, implement, and maintain secure and scalable backend services for Secrets Hub.
Collaborate with product managers, architects, and fellow engineers across multiple engineering teams.
Write clean, maintainable code in Python using AWS serverless architecture and AWS CDK.
Participate in system design discussions, architecture reviews, and code reviews.
Take part in the full development lifecycle, including planning, implementation, testing, deployment, and monitoring.
Investigate complex production issues and contribute to continuous improvement of reliability and observability.
Uphold high standards of quality, security, and performance.

In this role, you will be responsible for designing and building the heavy-duty backend systems that power our application security platform. You will work on complex, multi-integrated systems that require deep technical expertise, architectural thinking, and the ability to navigate a fast-paced environment with frequent context switching.

Responsibilities

System Architecture: Lead the design and development of scalable, high-performance backend systems from concept to deployment.

Core Development: Develop efficient and reliable backend services primarily using Java.

Infrastructure & Scaling: Optimize application performance and ensure the reliability of services running in a cloud-native environment.

Data Management: Design and maintain complex databases, ensuring data integrity and query efficiency across relational and non-relational systems.

Complex Integrations: Manage and implement multi-system integrations, handling high levels of complexity and technical interdependencies.

Collaboration: Work closely with cross-functional teams to define project objectives and participate in rigorous code reviews to maintain high quality.

Innovation: Stay current with emerging technologies and trends to ensure our company remains at the forefront of the industry.

As a key member of our best-in-class CAD Group, you will be part of building innovative designs. We will apply your hands-on experience in power EM/IR analysis to develop, define and refine the methodologies and flows for gate-level, as well as transistor level designs. Major tasks will include functional static / dynamic IR analysis, scan mode IVD analysis, package and interposer model handling, 3DIC and multi die analysis, power EM analysis, SigEM, power switch modeling, design abstract and reuse for EM/IR purposes, IP / SoC level EMIR sign-off / ECO, and much more.

In this highly visible role, your primary responsibilities will include:
- Development of custom EM/IR solutions that scale with accuracy and capacity challenges.
- Streamline and automate EM/IR flow with ownership of the entire flow.
- Support and collaborate with design groups (Physical-design and integration, Circuit-design / Power / Package & System / Technology) on their EM/IR requirements for various post-layout flows.
- Work side by side with EDA vendors and foundries for tool qualification, debug, and enhancement.

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale
Your Impact:
Design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market.
Design and develop solution-oriented enterprise DevOps Platforms and tools.
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms.
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

We are building a new team focused on redefining the future of code analysis infrastructure, combining advanced GenAI techniques with deep static code analysis. We're looking for a highly motivated Agentic code analysis engineer to join us on this mission.
We're working in a hybrid model: 3 days in the office, 2 days from home.

You are invited to meet the R&D team here!

In this role, you will:

Research and develop next-gen code analysis and remediation algorithms

Work hands-on with GenAI models and integrate them into detection workflows

Tackle complex software analysis problems (e.g., call graphs, control/data/taint flow analysis)

Collaborate closely with Product Managers, Algorithm software engineers and application software engineers to prototype, validate, and productize your innovations

Responsibilities:

Design and implement machine learning and algorithmic solutions for code analysis

Build GenAI-powered developer tools for static and semantic code analysis

Enhance our existing detection infrastructure with intelligent, context-aware insights

Translate cutting-edge research into practical, scalable product features

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are seeking an experienced Senior Staff Backend Engineer for our new generation Digital Vault (DV) SaaS product. You will be responsible for building core SaaS offerings on top of an AWS serverless stack using Python, CDK, and other cloud technologies. You will work with a collaborative team of developers, architects, DevOps, and QA to produce top-notch services from planning through production.
Your Impact
Build and maintain core SaaS products using an AWS serverless stack, Python, and CDK.
Collaborate within an agile team through the entire development lifecycle, including architecture, design, testing, and automation.
Work with developers, architects, DevOps, and QA members to produce high-quality services and maintain high standards.
Engage in all aspects of the development lifecycle, including handling production-care and responding to customer feedback.