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We are looking for a hands-on, detail-oriented Integration Test Engineer to join our QA & Automation group.
In this role, you will work closely with R&D, DevOps, Automation, and Product teams to ensure all components of platform function seamlessly together.
You will be responsible for end-to-end testing across the agent, cloud services, APIs, and internal data flows, ensuring robust releases and high system stability.
Responsibilities:
Execute and maintain end-to-end integration tests across the agent, backend Execute end-to-end integration tests across agent, backend services, APIs, and data flows.
Validate new features and system workflows in staging environments.
Perform manual and semi-automated tests and help identify integration gaps.
Analyze logs and system behavior in Linux and networking environments.
Investigate defects, find root causes, and collaborate with developers for resolutions.
Support DevOps during deployments and verify hotfixes/releases.

We are seeking a highly skilled AI Engineer to join our AI & Data Security Innovation team at the Tel-Aviv R&D center. This team is a specialized unit within the Quality group, focused on creating production-grade AI Innovations that revolutionize our security assurance and development processes. We build the platform and services that power our company's internal AI and Security validation capabilities, enabling our colleagues and customers to work smarter and faster.
We need an experienced engineer with a passion for building, deploying, and scaling our Security AI systems and environment. This is a hands-on role that combines research, devops and data science. The role requires a constant creative trailblazing mindset and novel non-linear thinking. You will develop and enhance complex agentic AI products, architect for scale, and optimize for performance. Additionally, you will be responsible for turning innovative AI concepts into robust, efficient, and reliable services for multiple teams.
Your Impact
Research, Evaluate and leverage the power of AI and LLMs in cybersecurity
Perform complex AI evaluations on LLM based cybersecurity features and products
Implement and optimize advanced AI/LLM systems, including complex RAG pipelines and efficient multi-tool agentic workflows
Develop and contribute to AI frameworks and services that provide game-changing capabilities
Transform strategic vision into production-grade reality
Perform Data-driven research on big data platforms.

We are looking for an experienced Security Architect to lead the design and implementation of advanced security solutions across our infrastructure, products, and cloud environments. In this role, you will work closely with engineering, DevOps, product, and SOC teams to ensure end-to-end protection, threat resilience, and security-by-design architecture.

Your Chain of Impact:

Design and implement scalable, secure architectures across cloud, application, and data environments
Lead security reviews, threat modeling, and risk assessments for new and existing systems.
Collaborate with R&D and DevOps to embed security best practices into development and deployment processes.
Define and maintain security standards, policies, and frameworks (Zero Trust, IAM, network controls, data protection, etc.)
Oversee integration of security controls, monitoring systems, and automated detection capabilities.
Partner with SOC teams to enhance detection, response, and incident management workflows.
Evaluate new security tools and technologies; lead POCs and drive strategic decisions.
Provide security guidance during architecture planning, code reviews, and product design.

As a Senior Automation Lead , you will design, build, and maintain our test automation infrastructure, ensuring it meets the highest standards of availability, reliability, and quality. Youll own the testing lifecycle end-to-end, collaborate closely with cross-functional teams, and play a key role in strengthening both product quality and the automation ecosystem.

Responsibilities
Lead and mentor a team of automation engineers, providing technical guidance, reviews, and growth opportunities.
Define and maintain automation strategy, aligning with company goals and release pipelines.
Oversee test automation across multiple domains backend (API, microservices), frontend (web).
Mobile - advantage.
Streaming - advantage.
Manage automation project roadmaps, priorities, and integrations into CI/CD and DevOps workflows.
Establish best practices for structured test design, code quality, and maintainable architecture.
Collaborate closely with development, product, DevOps, and AI teams to ensure full test coverage and visibility.
Drive GenAI adoption in automation including AI agents, self-healing tests, and intelligent reporting.
Define automation metrics and dashboards for visibility into product quality, velocity, and test health.
Champion continuous improvement in test processes, tooling, and developer experience.

The Team Lead is a key leadership role responsible for designing, developing and maintaining scalable Backend and Frontend systems in both cloud and on-premise environments. The role leverages cutting-edge technologies to build cloud capabilities, platforms and infrastructure. Additionally, the position oversees the implementation and maintenance of control, monitoring and governance.

We're looking for an experienced Full Stack Developer to join our highly dynamic team.
As a senior developer, you will be responsible for maintaining and developing operational Full-Stack system, which deal with large-scale data and requirements for low-latency performance.
You will be the team's Tech Lead, and will be responsible for keeping the system up-to-date with the most advanced stack and technologies.

Were looking for a Cloud Architect to help shape and evolve our global cloud infrastructure.
In this hands-on role, you'll design and build secure, scalable cloud environments using Azure and AWS, solving real-world challenges and driving innovation across the organization.
How will you make an impact?
Design and implement secure, scalable, and resilient cloud architectures across Azure and AWS
Lead modernization and migration initiatives for critical workloads
Drive cloud security practices - identity, encryption, compliance, zero trust
Collaborate with cross-functional teams to translate business needs into technical solutions
Support infrastructure-as-code and automation to improve reliability and speed
Continuously optimize our cloud setup for performance, cost, and security.

We are seeking a Senior Backend & Data Engineer to join its SaaS Data Platform team.
This role offers a unique opportunity to design and build large-scale, high-performance data platforms and backend services that power our cloud-based products.
You will own features end to end-from architecture and design through development and production deployment-while working closely with Data Science, Machine Learning, DevOps, and Product teams.
Key Responsibilities:
Design, develop, and maintain scalable, secure backend services and data platforms on AWS
Build and operate batch and streaming ETL/ELT pipelines using Spark, Glue, Athena, Iceberg, Lambda, and EKS
Develop backend components and data processing workflows in a cloud-native environment
Optimize performance, reliability, and observability of data pipelines and backend services
Collaborate with ML, backend, DevOps, and product teams to deliver data-driven solutions
Lead best practices in code quality, architecture, and technical excellence
Ensure security, compliance, and auditability using AWS best practices (IAM, encryption, auditing).

We are looking for a visionary, hands-on leader who can take an idea from zero to product, work closely with Product and customers, run experiments fast, and inspire a small team of strong builders. You will contribute to both the technical and product direction of this new line.

This is a key founder-mindset role inside a scaling startup. A rare opportunity to define an entirely new capability within a company - one that can become a pillar of the business.



What Youll Do



Build & lead a new business unit

Establish and lead a small, competent, multidisciplinary team.
Recruit, mentor, and inspire top talent.
Define & build the agentic AI product

Design and develop an agentic workflow system.
Define system architecture, agent patterns, interaction models, orchestration, observability, and safety.
Balance experimentation with production-grade engineering and reliability.
Partner with Product & customers

Work nearly day-to-day with the Product team.
Engage directly with design partners and later with early adopters.
Translate vision into experiments, MVPs, and short-term roadmaps.
Help shape UX, system behavior, product packaging, and pricing logic.
Collaborate across the company

Integrate with our Data, App, and DevOps teams.
Leverage existing infrastructure while building new, independent components.
Influence the broader companys approach to agentic AI systems.

Were hiring a Customer Success Engineer to work directly with customers to implement, troubleshoot, and optimize the company platform- across Linux, Kubernetes, IAM, and secure access workflows. Youll be the primary technical contact: diagnosing issues, guiding best practices, collaborating with Product/Engineering on escalations, and turning learnings into repeatable runbooks that keep deployments stable and effective.
Responsibilities:
Deliver a smooth onboarding experience and drive adoption/expansion for existing customers.
Investigate and resolve our company cases (secret access, authentication, certificate workflows, remote access) while guiding secure configuration and best practices.
Reproduce issues in test environments (Linux, Docker, K8s) to isolate root causes.
Write KB articles to streamline troubleshooting and improve customer experience.
Learn customers business and challenges; log and communicate requirements; partner with Product & Engineering to escalate/validate fixes, contribute to team processes, internal tooling, and advocate for customers.
Act as a trusted advisor and support critical issues.