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We are seeking a highly skilled and experienced Attack Team Leader to lead a specialized attack team focused on developing offensive, production-ready attack capabilities. This is a research and development (R&D) role at the core of our offensive security efforts. You will be responsible for architecting and delivering advanced low-level attack components used in evasion techniques, red team tooling, and adversary simulations.
You will be hands-on in both leadership and development, guiding technical direction, mentoring engineers, and contributing code to offensive attack components.
The Impact You Will Have
Lead the design, development, and deployment of production-grade offensive capabilities targeting application and OS CVEs exploits
Develop attack components for Windows/Linux including OS-level evasion mechanisms
Implement Python bindings to connect native low-level components with Python-based research tools and automation
Research and develop bypass techniques for modern security controls
Collaborate with the Research Team and other R&D stakeholders to implement and refine offensive concepts
Provide technical mentorship and drive engineering best practices within the team
Harness AI coding agents to streamline the above processes

Required Backend Developer (C# or Java)
Location: Petach Tikva
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

We are looking for an AI Enablement Tech Lead to lead the development of AI-native data capabilities and drive the adoption of AI across analytics workflows.
This role is part of the Analytics & AI Enablement group within the data department and is responsible for establishing the foundational data and AI capabilities that support advanced use cases, including chat with data, autonomous analytics, and AI-driven decision-making.
You will act as a technical and strategic bridge between data, engineering, and AI platform teams - owning the design of AI-ready data layers, and taking a significant part in the specification and orchestration of data-ready agent solutions and analytical workflows, from ideation to production.
You are a hands-on builder and a transformation leader, with proven experience delivering AI solutions and a strong foundation in data and analytics.
Hybrid
Full-time
What youll do: 
Define and build AI-ready data foundations, including semantic layers optimized for LLM and AI consumption
Design and standardize AI-native analytics workflows, combining data modeling, LLMs, and orchestration frameworks
Partner with Data Engineering and AI platform teams to shape infrastructure, tooling, and data interfaces for AI use
Drive experimentation with new AI capabilities and rapidly iterate from POC to scalable solutions
Establish best practices for AI usage in analytics, including prompt design, evaluation, monitoring, and governance
Act as a technical leader and mentor, driving AI knowledge and adoption across the analytics community.

As a part of a geographically distributed team, you will work with multiple company teams and open source communities around the globe.

To be successful in this role, you will need to have motivation, curiosity, passion for problem solving, and experience with Linux technologies, Kubernetes and open source development models. We can hire you in any EMEA or APAC country where our company has a legal presence.

What you will do

Define, contribute to, and collaborate with Telco partners on Blueprints and system architectures pairing our platforms with Partner technology

Establish long-term technical relationships with key Telco partners, gathering and analyzing partner requirements and use cases to deliver meaningful business outcomes

Play an active hands-on role in researching and then architecting various OpenShift and Telco specific features into a unified solution, proactively test the involved technologies, experiment and provide demonstrations

Collaborate across teams (Product Management, Engineering, QE, Consulting, Support) to influence future directions and be an advocate for feature development and support needed for strategic partners next generation offerings

Evangelize the team's work through blogs, web postings, or conference talks

Collaborate with cross-functional teams to identify opportunities for AI integration, driving continuous improvement and innovation in engineering practices

This is a highly hands-on leadership role, combining deep technical involvement with ownership of the domain and team. You will lead and grow a team of engineers while remaining closely involved in architecture, design, and critical parts of the system.

You will own the deployment domain end-to-end - from infrastructure and backend services to customer experience - and play a key role in shaping how delivers its product across AWS, Azure, GCP, and on-prem environments.

This role sits at the intersection of engineering, product, and customer-facing delivery, with direct impact on customer success and company growth.


Responsibilities
Team Leadership & Ownership

Lead and grow the Backend & Deployment team, including hiring, mentoring, and developing engineers.
Drive execution, prioritization, and delivery while maintaining high engineering standards.
Foster a strong ownership culture and create clarity in a fast-paced, evolving environment.
Take full end-to-end ownership of the deployment domain, including reliability, scalability, and customer experience.
Partner closely with Product, R&D, Sales Engineering, and Customer Success to align priorities and deliver customer value.
Hands-on Technical Leadership

Remain deeply involved in the system - contributing to architecture, design, and critical development efforts.
Lead the design and evolution of deployment architectures across multi-cloud (AWS, Azure, GCP) and on-prem environments.
Work hands-on with Kubernetes, Infrastructure-as-Code (Terraform), and backend services.
Drive improvements in scalability, automation, observability, and resilience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

This role sits at the intersection of cloud infrastructure and backend engineering. You'll build and maintain the Infrastructure-as-Code and tooling that customers use to deploy Sentra across AWS, Azure, and GCP - including Kubernetes-based, VM-based, and on-premise environments. Alongside that, you'll develop the backend services that power the deployment lifecycle: orchestration, provisioning, environment management, health monitoring, and deployment verification - time-critical services where reliability directly impacts the customer experience.

The role blends hands-on engineering, cloud architecture, and customer-facing technical work. You'll collaborate with Solutions Engineering, Support, and customers directly to ensure deployments are smooth, secure, and scalable.


Responsibilities
Customer Deployment

Develop and maintain Infrastructure-as-Code (Terraform, CloudFormation) that customers use to deploy and integrate the product into their cloud environments.
Design customer-deployable cloud architectures across AWS, Azure, and GCP, including networking (VPC/VNet, routing, NAT, PrivateLink / private endpoints) and security primitives.
Build and maintain deployment tooling (CLI tools, installers, templates, automation) to simplify customer setup and upgrades.
Develop and maintain our Kubernetes-based deployment (Golang, Helm) for either cloud-native or on-prem environments.
Backend Deployment Services

Build and maintain backend services (Python, TypeScript) that power the deployment lifecycle - including orchestration, provisioning, and environment management.
Develop health monitoring and deployment verification services that ensure reliable, validated deployments with minimal customer friction.
Design and improve APIs that manage customer environments, ensuring they are robust, well-documented, and easy to integrate with.
Own the reliability and performance of time-critical deployment services where latency and correctness directly affect customer experience.
Collaboration & Customer-Facing Work

Act as a technical escalation point for customer deployment and integration issues, working closely with Solutions Engineering and Support.
Collaborate with external-facing teams (Customer Success, Solutions Engineering, Sales Engineering) on customer deployments and integrations, including participating in calls or troubleshooting sessions when needed - sometimes during US business hours.

We are looking for a Senior Backend Engineer to join our R&D team and play a pivotal role in building Sentras multi-cloud scanning system. This position is ideal for engineers who excel in solving large-scale challenges within a fast-paced startup setting, and who are passionate about pushing the boundaries of data security in a cloud environment.


Responsibilities
Lead the design and development of our cloud scanning orchestration system, ensuring efficiency and scalability across multiple cloud environments.
Handle multiple system interactions, working with microservices and cloud-native components to build a robust and flexible scanning solution.
Research various Datasources APIs in order to develop connectors and perform efficient data scanning.Develop and implement efficient data scanning connectors by researching the APIs of various data sources.
Collaborate closely with cross-functional teams, including R&D engineers, product managers, and solution engineers, to deliver end-to-end features and tackle complex engineering challenges.
Gain a high-level architectural perspective while maintaining the ability to dig into technical specifics and optimize system performance.

We are looking for a Senior Data & Machine Learning Engineer to operate at the intersection of data platform engineering and machine learning enablement. This role is responsible for building scalable, efficient, and reliable data systems while enabling Data Science and Analytics teams to develop and deploy ML-driven features.

You will take ownership of the data and ML infrastructure layer, ensuring that pipelines, storage models, and compute usage are optimized, while also shaping how data workflows and ML solutions are designed across the organization.


Responsibilities
Data Platform & Infrastructure

Design, build, and maintain scalable data pipelines and storage systems supporting analytics and ML use cases
Ensure compute and cost efficiency across pipelines, storage models, and processing workflows
Own and improve data orchestration, transformation, and serving layers (e.g., Spark, DBT, streaming/batch systems)
Build and maintain shared infrastructure components, including:
IO managers and data access abstractions
Integrations with DBT, Spark, and other data frameworks
Internal tooling to improve developer productivity and reliability
ML Enablement & Collaboration

Partner closely with Data Science to design and productions ML solutions for new features and research initiatives
Translate experimental models into robust, scalable production systems
Support feature engineering, training pipelines, and inference workflows
Help define best practices for ML lifecycle management (training, validation, deployment, monitoring)
Data Quality, Governance & Best Practices

Enforce best practices for building and maintaining data processes across Data Analyst and Data Science teams
Define standards for:
Data modeling and transformations
Pipeline reliability and observability
Testing, versioning, and documentation
Improve data quality, consistency, and discoverability across the organization
Performance & Reliability

Optimize systems for performance, scalability, and cost efficiency
Monitor and troubleshoot data pipelines and ML systems in production
Implement observability (logging, metrics, alerting) across data workflows

we are looking for a talented, experienced, and hands-on leader for our Product department,to build its strategy, implement relevant work processes, and take the team to the next level, building world-class digital adherence solutions for our consumers and business clients.


The Opportunity

You will own the product vision, strategy, and execution across our entire B2B2C platform.
Youll shape what we build, how we build it, and how fast we move.
Youll partner directly with executive leadership, influence company direction, and build a high-performing product organization that delivers measurable patient and business outcomes.
If you love turning strategy into shipped product, scaling teams, and building in a fast-moving digital health environment - this role is for you.
Responsibilities:

Responsible for the execution and success of B2B2C product suite.
Improve competitiveness, scale and broaden the companys offering in order to achieve competitive advantage.
Responsible for designing and building internal tools to increase our implementation efficiency and scalability.
Attend client meetings, alongside Sales to present and demonstrate the Product - US Time zone
Be an active partner in building product strategy and roadmap.
Oversee all product-related activities including prioritization, feature definition, user experience, UI/UX and quality.
Defining the Product teams growth plan and strategy.
Managing, coaching, and mentoring your team members (Product Managers and UI/UX designers).
Work closely with cross-functional teams to plan and develop scope, deliverables, required resources, work plan, budget and timeline for new initiatives.

We are looking for a seasoned and execution driven R&D Team Lead. This role focuses on leading a software engineering team, developing and delivering strategic business impact. As part of this role you will build and grow a strong team of engineers. You will be part of shaping our R&D technological excellence, driving new initiatives and defining the architecture to support our evolving business growth. You will work in a global environment with highly-skilled product managers, analysts and other engineering teams reporting to the VP R&D.

Build and lead a strong team of 4-6 software engineers fostering a culture of ownership, collaboration, and technical excellence.
Take end-to-end ownership of key domains within a complex, high-impact system, driving technical decisions, execution, and outcomes.
Use AI-powered development tools and agentic technologies to improve teams velocity and quality.
Remain hands-on across a modern full-stack environment contributing directly to production while guiding others.
Our stack - GCP (and AWS), React/Node.js (TS), Golang and MySQL.

Were looking for a strong and hands-on Product Analytics Team Lead to join our data organization. In this role, youll lead the Product Analytics function, partnering closely with Product, Growth, and Engineering to drive data-informed product decisions across our app portfolio. Youll combine leadership and execution, guiding analysts, shaping analytical best practices, and personally diving deep into product data to uncover insights that drive growth and optimization.

Key Responsibilities

Lead, mentor, and develop a team of Product Analysts, setting high standards of analytical excellence.
Partner closely with Product Managers to define KPIs, success metrics, and measurement frameworks.
Drive product performance analysis across user funnels, engagement, retention, and monetization.
Lead and oversee experimentation initiatives, ensuring high-quality design, execution, and analysis of A/B tests.
Translate complex product questions into structured analyses and actionable recommendations, while establishing clear and consistent product metrics across dashboards and reporting tools.
Collaborate with Data Engineering and Data Product teams to improve data models and semantic definitions.
Present insights and strategic recommendations to senior leadership and key stakeholders.

We are a dynamic R&D department that designs and develops Call Recording solutions, looking for a long-term relationship with Developer to be a part of a team developing cutting edge, SaaS enterprise solution enabling to capture, organize, and share meeting content.
We are looking for a professional who is passionate to investigate, learn and implement new technologies, as well as happy to go beyond the immediate job description.
Responsibilities:
Design and architect scalable backend services using cloud-native technologies
Lead integration strategies for complex 3rd party services and APIs
Analyze and translate business requirements into technical solutions
Drive architectural decisions through research, POCs, and technical leadership
Champion Test Driven Development and code quality best practices across the team
Optimize system performance and identify bottlenecks proactively
Mentor junior developers and conduct code reviews

Required Senior QA Engineer
The Dream Job
We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world product quality. Youll work closely with developers, product managers, and automation engineers to plan, execute, and continuously evolve our testing strategy-ensuring every feature we ship meets the highest standards.
The Dream-Maker Responsibilities
Own the end-to-end quality of features from planning through release.
Design and execute comprehensive test plans covering exploratory, functional, regression, and integration testing.
Advocate for quality early by actively participating in product and feature design discussions.
Identify edge cases and gaps by collaborating with developers and automation engineers.
Support automation efforts by validating coverage and assisting with test integration.
Report bugs clearly and constructively, and help triage issues across teams.
Contribute to QA documentation and share testing knowledge with the broader team.

We are looking for a senior Windows developer who is passionate about software design, code quality, and performance. The job involves writing production-grade and highly performant code that will be shipped to thousands of endpoints. The role includes developing for the Windows kernel to collect the necessary data as well as writing user-mode code for integrating the kernel driver into our sensors architecture.
The Dream-Maker Responsibilities
Write production-grade C/C++ code to create robust and high-performance software drivers and applications for Windows.
Investigate possibly undocumented system behavior to enable product features or to resolve software issues.
Optimize code for maximum efficiency and resource utilization, ensuring the smooth operation of our solutions.
Collaborate closely with operating system internals to gather essential data for analyzing abnormal behavior on endpoints.
Participate in code reviews with an emphasis on design and code quality, ensuring the team adheres to best practices.
Work effectively within a team, contributing to a collaborative and innovative development environment.
Apply your problem-solving abilities to address complex technical challenges in the cybersecurity domains.

We're building our Cyber Threat Intelligence platform - a system that harvests, contextualizes, and serves threat intelligence at scale. This includes AI-powered Copilot experiences, analyst-facing dashboards, and the services that connect them.
We're looking for a versatile Full-Stack Engineer to own features end-to-end, from backend services to the UI that puts intelligence in analysts' hands.
You might be stronger on the frontend or backend - that's fine. What matters is your ability to work across the stack, take ownership of entire features, and ship with autonomy. You'll collaborate closely with product, UX, and CTI researchers to translate complex data into intuitive experiences, all within a fast-moving environment with short development cycles.
The Dream-Maker Responsibilities
Own features end-to-end - from data layer to UI -delivering complete solutions that serve real analyst workflows.
Build core components of the CTI platform, including AI Copilot experiences, dashboards, and data visualization tools.
Develop backend services and APIs that process and expose threat data to client applications.
Craft responsive, maintainable frontend experiences using Vue, TypeScript, and modern tooling.
Collaborate with product and UX to translate requirements into well-designed, documented solutions.
Drive engineering best practices across the stack - code quality, testing, and maintainability.