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Required Senior QA Engineer
Our offering is built on several software packages that together create a unique platform in the industry. We are pushing the boundaries by offering a secure software development lifecycle that includes Artifactory, security, distribution and MLOps, shifting left and bringing new and exciting features to both developers and DevOps. We are seeking a highly-motivated and experienced Senior QA Engineer to take our quality to the next level. In this role, you will lead and design our main quality initiatives across the entire organization, provide quality-focused technical leadership to developer teams, and improve our products.
As a Senior QA Engineer you will...
Work closely with hundreds of developers and Quality Engineers from different organizations in the company to better understand the main issues and bottlenecks across multiple platforms and cloud providers, including on-prem installations
Research the effect of every change on the system and its behavior, from the development stage to release and production
Perform hands-on work on new, complex cross-interacting features in the platform and modifications to existing ones, including research, test plan development, reviews, and approvals
Serve as the focal point for quality for cross-developed products a
Closely interact with developers, automation, and support engineers about customer production issues

We are looking for a Security Engineer to join us. In this role, you will take part in securing our companys production environments across network, data, and AI domains. You will work closely with SRE, DevOps, platform, and internal security teams to design, operate, and continuously improve security controls, reduce risk, and strengthen our detection and response capabilities in a fast-growing, cloud-native environment.
Responsibilities
Support, maintain, and operate network, data, and AI security controls across our companys production environments, and continuously improve protection, detection, and response capabilities.
Design, implement, and troubleshoot network security mechanisms, including segmentation, access controls, and traffic inspection, to reduce attack surface and lateral movement.
Secure sensitive data and databases by enforcing encryption, permissions, and access governance, auditing, and monitoring to prevent data leakage and misuse.
Identify security risks related to AI systems, data pipelines, and inference services, and help define controls to protect models, training data, and AI-driven workflows.
Collaborate with engineering, SOC, and platform teams to identify high-risk assets, abuse scenarios, and attack paths, and translate them into actionable security controls and detections.
Support incident response activities by serving as an escalation point for complex network, data, and AI-related security incidents.
Contribute to improving security visibility, detection logic, and response processes, including documentation and knowledge sharing across the Cyber Defense Group.

Wireless Network Engineer (Wi‑Fi, Cellular, IP Networking, Roaming)
The Wireless Network Engineer supports the design, deployment, monitoring, and troubleshooting of wireless connectivity systems across Wi‑Fi, cellular (4G/5G), cellular data roaming (IPX/GRX), and IP‑based networks. This role is ideal for someone early in their networking career who is eager to grow into advanced wireless engineering, RF optimization, roaming technologies, and carrier‑grade mobility systems.
Key Responsibilities
Wireless (Wi‑Fi, Cellular & Roaming)
Configure, deploy, and maintain Wi‑Fi networks (APs, controllers, authentication, RF tuning).
Support integration and testing of cellular connectivity solutions (LTE/5G routers, modems, SIM/eSIM management, private cellular).
Assist with cellular data roaming environments, including:
IPX/GRX connectivity
GSMA standards and roaming guidelines
ITU numbering and signaling frameworks
Roaming partner onboarding, testing, and troubleshooting
Perform RF troubleshooting, signal analysis, and coverage validation using standard tools.
Monitor wireless and roaming performance, identify issues, and escalate complex problems to senior engineers.
IP Networking
Configure and troubleshoot Layer 2/Layer 3 networking (VLANs, routing, switching, DHCP, DNS).
Support network security configurations (firewalls, VPNs, IPsec tunnels).
Assist in maintaining network documentation, diagrams, and configuration standards.
Participate in network monitoring, alert triage, and incident response.
Operations & Support
Provide hands‑on support for lab setups, field deployments, and customer pilots.
Collaborate with cross‑functional teams (DevOps, IT, Product) to validate new features and network changes.
Contribute to testing plans, device certifications, roaming tests, and performance benchmarking.
Maintain accurate logs, tickets, and reports.

we face with operating at scale to produce a best-in-industry solution and enable us to continue to provide unprecedented performance and reliability for our users. you will take on the challenges that come with operating and scaling our ever-growing gitlab deployment. in this role, you will design and code processes and automation tools to improve productivity managing and administering the scm systems and applications used by our globally distributed engineering teams.
what you'll be doing:
responsible for the full scm environment including application, os, and server hardware components, developing the continued automation and innovation needed for our large environment
create new solutions to improve the reliability and performance of our ever-growing infrastructure, and work with automated orchestration tools to deploy those improvements to hundreds of systems worldwide
be part of a global team and will evaluate technology alternatives, work closely with other project members to specify solutions, craft schedules, and lead ongoing enhancements and support
lead or contribute to gitlab upgrades and migrations, architectural reviews and design docs, root cause analysis and systemic fixes
learn and greatly improve the daily productivity of the worlds top chip designers and software engineers

We're looking for a Security Engineer - our company Product to spread the power of our company. The ideal candidate will have experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. Youll get to collaborate with our software development and DevOps teams to secure our companys products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap by utilizing our company-for-our company to assess, monitor, and harden our environments.
WHAT YOULL DO
Lead threat modeling and security review exercises across our companys production and CI/CD environments - identifying and mitigating risks in our products and the cloud services that support them
Drive vulnerability management and remediation efforts - prioritizing issues, implementing mitigations, and designing strategic preventative controls
Extend our detection and response capabilities - building scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents
Collaborate with our company Federal team - extending our DevSecOps and Product Security practices to our companys FedRAMP environment and ensure it meets key security requirements
Build deep functional partnerships with our companys engineering and operations teams - helping them deliver secure-by-design solutions.

We are seeking an experienced Staff Backend Engineer to lead the engineering efforts behind our homegrown platform for serving and operating production-grade AI models and AI based algorithms.

This is a mission-critical role for someone passionate about building highly-scalable, GPU-aware, cloud-native systems that act as the connective tissue between algorithm research and product innovation. You will play a pivotal part in re-designing and evolving the platform, while supporting both research and application teams across the organization, and contributing to MLOps initiatives.
Key Responsibilities

Platform Ownership
Own the architecture, stability, scalability, and performance of the system.
Design and implement platform features that support both synchronous low-latency and asynchronous compute-heavy algorithm execution.
Enhance GPU management, scheduling, and resource allocation for optimal performance and cost-efficiency.
Ensure robust Kubernetes-based deployment and observability for a highly dynamic system.

Cross-Team Collaboration
Act as the technical bridge between Research and Application teams by translating requirements into scalable system designs.
Collaborate closely with algorithm developers to streamline model deployment processes.
Partner with backend engineers (primarily working in Ruby and Go) to integrate the research group algorithms into services.

Engineering Excellence
Advocate for high standards in code quality, observability, testing, and security.
Guide engineering integration efforts when consuming the different platform APIs.
Provide mentorship, support, and best practices to other engineers interacting with the platform.
Take part in general R&D efforts, supporting a broader production environment.

Platform Extension and MLOps
Contribute to the evolution of our platform to support a wider range of algorithmic workloads and model types.
Help shape tooling and infrastructure for model versioning, rollout, monitoring, and testing.
Collaborate with DevOps and Infrastructure teams to maintain operational excellence, system observability, and robust infrastructure support

Required Offensive Security Team Lead
As an Offensive Security Team Lead, you will spearhead our offensive security operations and lead advanced threat research initiatives, playing a pivotal role in safeguarding our organization and customers from evolving cyber threats. You will develop and execute Red Team exercises, simulate real-world attacks, and identify security weaknesses in our systems and applications. We seek a highly skilled, proactive tech leader who thrives in challenging environments and is passionate about advancing security research and offensive strategies.
As an Offensive Security Team Lead, you will
Lead, plan, design, and execute Red Team operations, threat modeling, and adversarial simulations against our infrastructure and cloud environments
Drive threat research and intelligence initiatives to stay ahead of emerging cyber threats, attack techniques, and vulnerabilities
Develop and execute advanced attack scenarios to assess security defenses and provide actionable recommendations for improving our security posture
Collaborate closely with security engineering, DevOps, and software development teams to implement findings and enhance our defenses
Lead the development of tooling, frameworks, and methodologies to automate and optimize Red Team exercises
Mentor and guide a team of security professionals, fostering a culture of innovation, collaboration, and continuous learning
Participate in incident responses when Red Team exercises reveal vulnerabilities, providing expertise on attack techniques, forensics, and post-attack mitigation
Continuously assess and improve security processes, playbooks, and threat detection mechanisms.

We are seeking a Product Technical Architect to join the elite CTO Experts team, an exclusive and global group. Our mission is to spread the power of our company by mastering the product inside and out, guiding the world's leading cloud security teams to secure their cloud using an entirely new security approach. This role combines deep technical ownership with hands-on execution, driving product innovation and strategic influence while serving as a key bridge between Product, R&D, and customers.
WHAT YOULL DO
Own a critical technology domain.
Serve as the top technical authority for product architecture, complex escalations, and field challenges.
Identify & Close Critical Product Gaps: Proactively identify customer needs and product limitations, develop tools and Proofs-of-Concept (PoCs) to address them.
Hands-on Problem Solving: On any given day, you may model customer environments, write scripts, conduct tests, build dashboards, and implement product improvements.
Customer Engagement: Work closely with the world's leading cloud security teams, meeting directly with strategic customers to understand their challenges and architect bespoke solutions.
Develop Novel Tools: Continuously innovate by building new automations, analytical engines, and AI-driven PoCs (e.g., for test generation).
Internal Enablement: Formalize product knowledge for internal and external reference and build knowledge for customers and field technical experts.

Required Cloud Architect
Tel Aviv, Israel
About us:
We are international Multi-Cloud experts, utilizing the power of the cloud for smart digital transformation. With 5 sites over 4 continents around the globe, +450 experts, +1000 customers, and +30 years of proven experience, our mission is to deliver the best Multi-Cloud service to our customers, accelerate their business and help them grow. As tech-savvies, To help our customers stay on top of their game, our teams are constantly developing new strategies and tools that will help them improve cloud performance, spending, visibility, control, and automation. Our cloud experts will make any digital transformation a quick, smart, and easy process
What You'll Do:
Realization and implementation of the architecture on the variety of technological components and services
Implementation of automations and scripts based on Infrastructure As A Code (for example: Terraform)
Implementation and implementation of protection and security solutions in the cloud
Maintaining regular interfaces with the security and cloud protection teams in the organization
Locating and implementing new technological opportunities in the cloud field
Maintaining regular interfaces with companies and organizations in the cloud field in Israel and in the community.

We are looking for a Private Cloud Solution Architect to join our team
This is a unique opportunity for a Delivery or Professional Services Engineer who has mastered the world of implementation and support and is now looking to make a transition into the Architectural/Presale world.
In this role, you will manage the technical sales process throughout our sales cycles and across our offering, for local and global customers.
The role includes conducting consulting engagements with customers to deliver Private Cloud solutions, writing technical papers and documentation, leading technical discussions during the presale process, conducting demos, PoCs, and more.
We are looking for someone with a growth mentality, a team player who really understands the engine under the hood and is eager to expand into Kubernetes and AI environments.
Responsibilities
Design and architect private cloud solutions across VMware VCF, Kubernetes, and datacenter solutions.
Lead technical discussions during the pre-sales process and assess customer needs
Develop high-level design (HLD) documents and define the scope of work
Align technical solutions with customer business challenges
Maintain strong technical expertise to deliver product demonstrations
Understand our vision and priorities as a company
Grow adoption of our solutions among our customers and partners
Address technical objections and position competitive differentiation
Manage your customers together with the account managers and act as a trusted technical advisor while leveraging subject matter experts required during the sales process

We are looking for an experienced and motivated R&D Team Leader to join our engineering organization.
This role combines hands-on technical leadership with team management responsibilities, leading the development of a complex and scalable solution.
The ideal candidate will guide the team in building high-quality products while driving architectural decisions and ensuring strong engineering practices.
If you are passionate about technology, excited about AI innovation, and thrive in a proactive, ownership-driven environment - wed love to meet you.
Responsibilities:
People Leadership & Team Development:
Lead hiring processes and build a strong, high-performing team.
Provide regular feedback to team and conduct 1:1 meetings to support professional growth, especially of junior team members.
Facilitate and lead team rituals to foster collaboration, alignment, and continuous improvement.
Technical Leadership & Execution:
Demonstrate proficiency in the teams technologies and guide technical direction.
Own the delivery of high-quality solutions, reviewing code and designs, while remaining fully hands-on.
Drive sprint planning and execution, ensuring timely delivery of features with high quality and low defect rates.
Identify, communicate, and escalate risks and blockers to maintain progress.
Product & Collaboration:
Understand the product and user domain, ensuring team work aligns with product goals and customer needs.
Work closely with Product Managers, designers, and QA to ensure alignment and smooth development.
Communicate updates and progress transparently to stakeholders.
Adjust team priorities and plans in response to changing circumstances and constraints.
Innovation & Continuous Improvement:
Encourage the team to experiment and try new approaches to solving problems.
Explore and promote the use of generative AI tools (e.g., Copilot, ChatGPT) to enhance coding, documentation, and daily workflows.
Make data-informed decisions, balancing priorities, technical constraints, and business needs.

We are looking for a backend engineer who can design, build, and operate highly reliable Node.js services on AWS that enable generative‑AI capabilities across our products and internal workflows.
You will create scalable APIs, data pipelines, and serverless architectures that integrate large‑language‑model (LLM) services such as Amazon Bedrock, OpenAI, and open‑source models, enabling teams to safely and efficiently leverage generative AI.
What Youll Actually Be Doing
Design and implement REST/GraphQL APIs in Node.js/TypeScript to serve generative‑AI features such as chat, summarization, and content generation.
Build and maintain AWS‑native architectures using Lambda, API Gateway, ECS/Fargate, DynamoDB, S3, and Step Functions.
Integrate and orchestrate LLM services (Amazon Bedrock, OpenAI, self‑hosted models) and vector databases (Amazon Aurora pgvector, Pinecone, Chroma) to power Retrieval‑Augmented Generation (RAG) pipelines.
Create secure, observable, and cost‑efficient infrastructure as code (CDK/Terraform) and automate CI/CD with GitHub Actions or AWS CodePipeline.
Implement monitoring, tracing, and logging (CloudWatch, X‑Ray, OpenTelemetry) to track latency, cost, and output quality of AI endpoints.
Collaborate with ML engineers, product managers, and front‑end teams in agile sprints; participate in design reviews and knowledge‑sharing sessions.
Establish best practices for prompt engineering, model evaluation, and data governance to ensure responsible AI usage.

Were hiring a ML Engineer to accelerate AI-driven innovation across our B2B SaaS platform.

Youll be at the forefront of building intelligent systems that power core product experiences and automate internal operations, driving efficiency, speed, and scale across the organization. This is a high-impact, hands-on role in a fast-growing, AI-first company where machine learning is a foundational pillar, not a bolt-on feature. You'll partner with product, engineering, and operations teams to design and implement powerful ML and LLM-based solutions that make a measurable difference.

What You Will Do:
Build Intelligent Systems: Design and develop ML/LLM-powered solutions that solve real-world challenges across our product and internal workflows.
Own Full Lifecycles: Take projects from concept all the way to production, including model training, evaluation, integration, and monitoring.
Leverage State-of-the-Art Tools: Work with leading frameworks like LangChain, Hugging Face, TensorFlow, and PyTorch to deliver cutting-edge functionality.
Collaborate Cross-Functionally: Partner with product managers, engineers, and stakeholders to embed AI capabilities into user-facing features and backend services.
Ship at Scale: Build and maintain scalable APIs and services, integrating best practices in CI/CD, observability, and cloud infrastructure.
Report with Impact: Share progress, challenges, and results clearly with technical and executive stakeholders.

We are seeking an exceptional Data & AI Infrastructure Team Leader to join our Point of Care and Handheld Ultrasound AI team in Haifa.
In this role, you will lead the development of data pipelines, workflows, and infrastructure, and drive the creation of frameworks and APIs that integrate AI components into our clinical ultrasound applications.
You will deliver modern, scalable engineering solutions that support the growing AI needs of a fast‑moving, regulated medical domain.
Job Description
Responsibilities
Lead and mentor a team of engineers driving the design and development of data and integration infrastructures supporting ultrasound AI development.
Design, develop, and maintain data pipelines, data workflows, and scalable data infrastructure for clinical and algorithmic needs.
Build and operate frameworks and APIs that integrate AI components into ultrasound applications and engineering workflows.
Own end‑to‑end data quality, metadata, traceability, and compliance required for clinical and regulatory workflows.
Drive automation, CI/CD practices, testing rigor, and engineering efficiency across data and AI‑related processes.
Implement and promote the use of GenAI tools to improve development, documentation, and data operations.
Collaborate closely with AI, Clinical, Verification, and SW teams to support end‑to‑end AI delivery.

We are looking for a highly motivated AI Full stack Engineer with GenAI background in production to join our team and help us shape the future of the Agentic engineering platform (AEP).
What youll do:
At our company, were a platform by developers, for developers. Your role will encompass end-to-end design, implementation, and daily feature delivery across both backend and frontend systems.
You will:
Implement high scale AI-powered features deeply integrated into our platform
Design and build production-grade backend systems serving a wide and growing user base
Build agent-based workflows using frameworks such as AI SDK
Integrate LLMs into real production systems with attention to reliability, latency, observability, and cost
Work across frontend (React + TypeScript) and backend (NodeJS, Python, Go) to deliver complete AI-driven user experiences
Own features end-to-end: design, implementation, testing, deployment, and monitoring
Help define standards and best practices around AI reliability and evaluation
Contribute to technical planning, mentor teammates, and help recruit top talent
Develop retrieval-augmented generation (RAG) pipelines over structured and unstructured data
Our stack includes React + TypeScript on the frontend, and NodeJS + TypeScript, Python, and Golang on the backend, and Vercels AI-SDK + AWS Bedrock + Azure OpenAI for GenAI. We use Kafka + Kafka Connect, Redis, PostgreSQL, MongoDB and other modern infrastructure components.