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Were hiring a QA Automation Infrastructure Engineer to help build and maintain core automation infrastructure.

In this role, youll develop the shared frameworks, tools, libraries, CI/CD integrations, reporting capabilities, and self-service solutions that enable QA engineers and developers to create, run, debug, monitor, and maintain automated tests efficiently.

This is a hands-on engineering role focused on building scalable automation infrastructure that supports quality across R&D.



What youll do

Design, implement, and maintain shared QA automation infrastructure.
Build frameworks, libraries, utilities, and internal tools for automation at scale.
Enable self-service testing for developers and QA engineers.
Support component, integration, system, API, backend, frontend, and E2E testing.
Integrate automated tests into CI/CD pipelines.
Improve test execution reliability, scalability, performance, and debugging experience.
Build reporting, dashboards, and monitoring capabilities for automation KPIs and quality trends.
Troubleshoot automation framework issues, flaky tests, infrastructure failures, and CI/CD pipeline problems.
Collaborate closely with QA Architects, QA Automation Developers, developers, DevOps, and QA leadership.

Contribute to documentation, best practices, templates, and training materials.

As an AI Researcher on Research group, youll research, develop and productionize LLMs powered applications and AI-agents. Youll partner closely with Product and Engineering to turn open-ended data-security challenges into measurable experiments and shipped features. Youll own the end-to-end lifecycle - from problem framing and data strategy to evaluation, deployment, and ongoing monitoring - helping customers discover, protect, and govern their data at scale.



What Youll Do

Responsible for the end-to-end research process. This includes identifying problems, preparing data, tuning and developing models, deploying to production, and analyzing outcomes.
You will be a hands-on domain leader, laying the foundations of our data science workflows and algorithms. This is an excellent opportunity to work with endless amounts of data and creatively generate insights that will increase the ability to classify tons of data.
Develop, evaluate, and maintain deep learning and NLP solutions to enhance core capabilities in sensitive data classification.
Design and architect production-grade agentic workflows. Establish rigorous evaluation pipelines to benchmark agent accuracy, latency, and cost, ensuring reliable, scalable solutions for real-world customer problems
Innovation and creative thinking are the keys! Implementing ML models to the entire research process - clustering, text extraction, document analysis, and tabular data classification.
Join a full stack AI group, including research engineering, MLEs, data operations, and security researchers. You will accelerate the path from research to production, ensuring results are both quick and precise.

As a Full Stack Team Lead on the AI Team , you'll lead, mentor, and grow a talented team of engineers while staying hands-on in building the AI experiences that power our platform end-to-end.



Lead and mentor a team of full-stack engineers, providing technical guidance, architectural direction, and support to ensure successful delivery.
Design, build, and ship production-grade AI agents, including agent workflows, tool integrations, orchestration, memory, and safe execution capabilities, enabling users to reason over data and take action with confidence.
Work with massive-scale datasets. Our customers manage petabytes of cloud assets and sensitive data, and you'll build systems that extract insights and deliver them through AI, APIs, and intuitive user experiences.
Collaborate closely with Product Managers to shape product direction, with UI/UX designers to craft exceptional AI-powered experiences, and with engineering teams across the company to integrate AI capabilities throughout the platform.
Continuously improve performance, reliability, developer productivity, and the quality of our AI systems while maintaining a high engineering bar.
Deliver meaningful customer value quickly without compromising quality.

Were looking for a senior and strategic Solution Architect to join our Solution Architecture team. In this role, youll act as a technical leader and domain owner, bridging the gap between the field and R&D. Youll work hands-on with customers during pre-sale and post-sale engagements, designing and implementing solutions, resolving technical challenges, and influencing the roadmap based on real-world needs. Your expertise will help improve internal processes, shape product capabilities, and enable scalable success across the organization.



What Youll Do

Act as the senior technical point of contact for complex customer engagements across pre-sale and post-sale efforts.
Partner with customers to design and implement technical solutions that align with security, compliance, and operational requirements.
Lead Proof of Value and production rollout initiatives, ensuring smooth implementation and strong adoption.
Own a product domain, working closely with R&D to resolve friction, contribute to roadmap development, and drive ecosystem growth.
Build reusable solution assets including internal documentation, technical guides, automation scripts, and enablement content.
Collaborate cross-functionally with Product, Engineering, Sales Engineering, Customer Success, and Marketing to drive platform adoption and customer success.
Troubleshoot and resolve complex technical issues across data sources, cloud infrastructure, and enterprise systems.
Continuously improve internal workflows, tooling, and best practices to support a growing customer base and field team.

We are looking for
For our Aerospace Division site in Haifa, we are looking for an Architect with extensive experience in signal processing and 3D imaging to join a multidisciplinary systems and algorithms group developing an innovative and groundbreaking Imaging Radar solution for airborne platforms
This is a unique opportunity to be part of the development of advanced defense technologies, work on complex multidisciplinary systems, and contribute to cutting-edge radar imaging capabilities with real operational impact
In this role you will
Develop and implement advanced radar signal processing algorithms and 3D image reconstruction capabilities
Define, execute, and analyze laboratory, field, and flight experiments
Analyze data and derive conclusions for implementation within the product
Develop and operate dedicated simulation tools for algorithmic research
Integrate complex systems
Work within a multidisciplinary team environment
Collaborate closely with technical management, mechanics, software, hardware, operational research, system engineering, and product management teams.

We are seeking a highly skilled Senior Communication PHY Algorithms Engineer.
This senior role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals.
Responsibilities:
Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
Develop and maintain simulations using MATLAB and Python.
Design digital receiver modules to be implemented either by FPGA of SW.
Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.
Accompany the integration process of the feature until its end-to-end operation.

Were looking for a Senior Data Engineer to join our Research Engineering Team and play a pivotal role in shaping the data infrastructure that powers innovative solutions. In this role, youll design, build, and scale data pipelines and data warehouses from the ground up, creating the backbone for the worlds leading data classification engine. Youll collaborate closely with researchers and machine learning experts to enable the development of advanced models, ensuring a seamless flow of high-quality, reliable, and well-structured data. Your contributions will directly impact the scalability, performance, and precision of our platform, advancing our mission to protect critical data.

What Youll Do

Design and build scalable batch and streaming data pipelines that process complex datasets from diverse sources, enabling reliable and high-performance model training and inference.

Collaborate closely with researchers and data scientists to deliver high-quality, structured datasets that accelerate experimentation and model iteration.

Lead large-scale historical backfills and migration initiatives to ensure data consistency and integrity across evolving storage and compute platforms.

Optimize data workflows through advanced query tuning, indexing, partitioning, and cost optimization strategies to support efficient large-scale analytics.

Architect and maintain high-performance cloud-based data platforms using modern data stack components across AWS, GCP, or Azure.

Operate distributed data processing engines to handle massive volumes of structured and unstructured data.

Design and implement event-driven architectures using large-scale queue systems such as Kafka or SQS to ensure reliable and efficient data movement.

Develop automated monitoring and validation systems that guarantee uptime, schema compatibility, and pipeline reliability.

Deploy and manage data infrastructure in containerized, Kubernetes-based environments to support scalable and resilient services.

We are seeking a Communication PHY Algorithms Engineer.
This role is focused on the end-to-end research, design, and implementation of digital receivers for proprietary drone communication signals.
Responsibilities:
Mathematically characterize complex communication and signal detection problems. Analyze and assess design trade-offs based on both performance metrics and implementation complexity.
Develop and maintain simulations using MATLAB and Python.
Design digital receiver modules to be implemented either by FPGA of SW.
Implement features directly in SW or technically lead and verify the FPGA implementation efforts of the FPGA engineer.
Accompany the integration process of the feature until its end-to-end operation.

Required ML-Engineering Lead
What You Will Do:
End-to-End Ownership: Lead the full technical execution of ML projects, ensuring every stage-from data acquisition to deployment-meets our rigorous standards.
R&D Collaboration: Partner closely with R&D departments to design data collection strategies and integrate ML-based tools and agents into their specialized workflows.
Versatile Implementation: Develop models and intelligent systems for a variety of use cases, ranging from real-time field performance to autonomous research-support tools.
Technical Authority: Act as a founding voice for ML implementation and strategy within the CTOs office.

we are looking for a Senior Full Stack Engineer - AI Team
Responsibilities



Direct contribution to the codebase as part of a product team.



Build and evolve customer-facing AI agents and agentic workflows powered by LLMs and AI models.



Work on product experiences that combine full-stack engineering, AI capabilities, security context, and customer value.



Collaborate closely with backend, QA, infrastructure, product, and design teams to understand, challenge, and translate end-user requirements into practical technical solutions.



Identify, document, and communicate technical improvements within your area of responsibility.



Participate in cross-team engineering initiatives as an individual contributor.



Help shape how AI agents are embedded into platform and used by customers to solve real security challenges.

We are seeking an exceptional Platform Engineer who combines deep software engineering with a robust DevOps approach to help propel development infrastructure to the next level. , SPEED is integral to our DNA. AI transforms the way we develop at speed, and our development infrastructure is key to the scale and hypergrowth.



The DevX team is a multi-disciplinary group of DevOps and development experts focused on building and operating internal tools, infrastructure, and services to make engineering easy and intuitive SPEED.



Your mission is to build a top-tier Continuous Integration and Delivery (CI/CD) platform. You will own both the application services and the infrastructure that supports them, ensuring speed, stability, and reliability for our entire R&D organization.



Key Focus Areas & What You'll Do



Improve CI/CD pipelines and CI workflows (e.g., GitHub Actions) with a focus on speed and reliability.
Reduce CI flakiness and improve overall pipeline stability through systematic triage and root-cause analysis.
Shorten developer feedback loops by optimizing test strategy, pipeline consistency, and local development workflows.
Strengthen CD and release processes for secure, repeatable, and fast deployments.
Promote best practices such as GitOps and progressive delivery where they fit.
Track and improve delivery metrics, with emphasis on Lead Time for Changes and Deployment Frequency.
Partner with engineering teams to identify friction and deliver scalable automation and paved paths.

We are seeking an exceptional Platform Engineer who combines deep software engineering with a robust DevOps approach to help propel development infrastructure to the next level. , SPEED is integral to our DNA. AI transforms the way we develop at speed, and our development infrastructure is key to the scale and hypergrowth.



The DevX team is a multi-disciplinary group of DevOps and development experts focused on building and operating internal tools, infrastructure, and services to make engineering easy and intuitive SPEED.



Your mission is to build a top-tier Continuous Integration and Delivery (CI/CD) platform. You will own both the application services and the infrastructure that supports them, ensuring speed, stability, and reliability for our entire R&D organization.



Key Focus Areas & What You'll Do



Improve CI/CD pipelines and CI workflows (e.g., GitHub Actions) with a focus on speed and reliability.
Reduce CI flakiness and improve overall pipeline stability through systematic triage and root-cause analysis.
Shorten developer feedback loops by optimizing test strategy, pipeline consistency, and local development workflows.
Strengthen CD and release processes for secure, repeatable, and fast deployments.
Promote best practices such as GitOps and progressive delivery where they fit.
Track and improve delivery metrics, with emphasis on Lead Time for Changes and Deployment Frequency.
Partner with engineering teams to identify friction and deliver scalable automation and paved paths.

Landa is seeking a highly skilled and hands-on Backend .NET Developer to join our agile R&D team. In this role, you will design, develop, and maintain enterprise-grade software systems with integrated hardware components, leveraging modern Microsoft .NET technologies.

Responsibilities:
· Provide technical leadership and mentorship to development team members. · Design, develop, and maintain scalable enterprise-grade software solutions. · Promote and enforce high standards of software quality, development best practices, and coding standards. · Participate in architecture discussions, solution design, and peer code reviews. · Drive best practices in clean code, design patterns, code reuse (DRY), and code review processes. · Collaborate on modernization and migration of legacy applications to modern technology stacks. · Troubleshoot and provide remote support for production and field systems when required. · Act as a technical advocate for innovation, continuous improvement, and emerging technologies.

Attributes:
· Strong problem-solving, debugging and troubleshooting skills. · Excellent interpersonal skills with the ability to work cooperatively in a team environment as well as with cross-organizational functions (other developers, testing, engineering, and customer support). · Hands-on, proactive, and highly accountable. · Strong technical leadership with a collaborative mindset. · Strong mentoring and coaching abilities, with a collaborative approach to knowledge sharing and team development. · Detail-oriented with a strong commitment to software quality and maintainability. · Curious, adaptable, and open to continuous learning. · Comfortable working in dynamic environments and balancing strategic thinking with execution. · Clear and effective oral and written English communication skills.

Were looking for a Senior Technical Writer who goes beyond standard documentation - someone who sees content as a product, embraces AI as a force multiplier, and thrives in a fast-paced, high-growth environment.

documentation is a core part of the product experience and a key driver of customer adoption. You will own documentation across multiple product areas, working closely with Product, R&D, and Customer Success to deliver clear, high-impact content.

Youll operate in rapid release cycles, collaborating with multiple stakeholders and managing parallel workstreams in a dynamic, evolving environment.





What Youll Do

Shape and scale best practices for technical communication
Leverage AI tools and automation to improve documentation workflows
Use data and user insights to continuously improve content effectiveness
Contribute to documentation strategy in a fast-growing, AI-driven company
Own end-to-end documentation for multiple product domains (typically working with 5-10 PMs simultaneously) across rapid 6-week release cycles
Create and maintain high-quality content including user guides, API docs, release notes, onboarding flows, and in-product microcopy
Leverage AI tools (e.g., Claude, internal automation workflows) to streamline writing, editing, research, and documentation operations
Identify opportunities to automate manual documentation workflows and continuously improve efficiency and scalability
Collaborate deeply with Product, Engineering, and Customer Success to translate complex technical concepts into clear, actionable content
Participate in feature design, demos, and implementation flows to build deep product understanding
Drive documentation quality through structured authoring, review processes, and alignment with product releases
Use analytics and user behavior insights to optimize content effectiveness and user experience
Contribute to evolving documentation strategy, standards, and best practices in a scaling organization