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We are looking for a 100% hands-on Storage Services Software engineer to join the block storage group. You will be a member of a team that builds the next generation block storage capabilities. You will work closely with a variety of teams and architects including the networking team, and external customers. You will take part in defining the software architecture and implementation of the most advanced storage services! Services that will need to meet extreme performance and scalability demands! We have crafted a team of extraordinary people stretching around the globe, whose mission is to push the frontiers of what is possible today and define the platform of tomorrow.

We work, think and learn as a team. We thrive in a deeply strong environment, and we're passionate about a culture that demands innovation and the highest standards. The rewards are sweet and include collaborating with some of the smartest people in the industry, an aggressive compensation plan that rewards top performers, and the opportunity to work on products that transform the way people work and play.

What youll be doing:

100% hands-on coding role in C language, kernel and userspace.

Research, design, implement and test, new and existing, networking features for distributed storage services and features of our block storage solution, in both Host and DPU environments.

Acquire understanding of the algorithms, the technicalities and the interaction with other components across our block storage ecosystem.

Analyze and solve challenging bugs and customer cases in large scale production systems, identifying issues in our or inbox kernel modules and often in other components. Drive new solutions based on any issues that arise.

The Agentless Scanning team at our company is expanding our security platforms capabilities by delivering comprehensive cloud protection that complements our industry-leading agent technology. Weve evolved from pioneering Data Security Posture Management (DSPM) to building a unified agentless platform that combines data security with vulnerability scanning, providing complete visibility across multi-cloud environments.Our technology scans cloud workloads, identifies vulnerabilities, and secures sensitive data across AWS, Azure, and GCP - extending our companys protection to cover every aspect of your cloud infrastructure. Were solving some of the most challenging problems in cloud security: how to provide deep visibility and protection at scale across diverse cloud services and configurations.Were a team of builders and innovators who thrive on complex technical challenges. If youre energized by distributed systems, cloud-native architectures, and the opportunity to protect thousands of organizations worldwide, we want to hear from you.Join us in expanding our companys security platform, where innovation meets impact.
What Youll Do:
Architect and build scalable backend services that scan millions of cloud resources daily across multi-cloud environments
Design and implement distributed systems that process massive volumes of security data with high reliability and low latency
Develop agentless scanning capabilities for vulnerability detection, configuration assessment, and data security across cloud workloads
Collaborate cross-functionally with security researchers, product managers, and fellow engineers to deliver features that customers love
Own features end-to-end - from design and implementation through deployment, monitoring, and iteration
Drive technical excellence through code reviews, architectural discussions, and mentoring team members
Solve complex challenges in cloud security, data processing, and distributed systems at enterprise scale.

We are looking for a hands-on technical leader to drive the design, implementation, and evolution of our cloud infrastructure. Youll take ownership of building scalable, reliable, and secure systems that empower engineering teams to deliver with speed and confidence. Youll operate in a fast-paced environment, balancing innovation and pragmatism, and fostering a culture of continuous improvement and operational excellence.
Responsibilities:
Lead end-to-end technical initiatives to design and manage cloud infrastructure across AWS and other multi-cloud environments.
Build and evolve automation frameworks and internal tools using Python, Bash, and modern infrastructure-as-code technologies (Terraform or equivalents).
Architect, implement, and maintain CI/CD pipelines that streamline delivery and improve developer productivity.
Champion observability, reliability, and performance - establishing best practices around monitoring, alerting, and system health visibility.
Collaborate closely with cross-functional engineering teams to enable scalable deployments, efficient development workflows, and resilient production systems.
Drive technical tradeoff decisions that balance speed, cost, and reliability in a dynamic, growth-oriented environment.
Act as a mentor and advocate for DevOps culture, enabling teams to take ownership of infrastructure and operations.

We are looking for an excellent software first-level manager to join the NSV (Network Solutions Validation) group. In this role, you will lead major development efforts of high-performing software automation systems for NVIDIA's Data Center environments-driving data growth for some of the worlds largest companies. Youll work in a dynamic, fast-paced environment alongside dedicated engineers worldwide. Are you ready for the challenge?

What You'll Be Doing:

Lead and mentor a team of engineers, fostering a culture of collaboration, innovation, and continuous improvement.

Champion Agile methodologies and Scrum guidelines, facilitating sprint planning, daily stand-ups, retrospectives and sprint reviews.

Collaborate closely with product managers, architects, and collaborators to define priorities, refine requirements, and align on strategic technical goals.

Design and develop an automation platform for benchmarking, monitoring, and analyzing HPC data centers.

Perform Data analysis and data engineering on benchmarking results.

Integrate with external large-scale data storage solutions.

Create and maintain interactive dashboards in Power BI.

Develop AI infrastructure and agent-based solutions to improve usability, observability, and debuggability.

We are looking for a powerhouse Senior Software Engineer to join our founding R&D.
You arent just a developer; you are a core architect of our vision.
You will be responsible for building the infrastructure that secures the next generation of AI agents and SaaS ecosystms.
This is a high-impact role where you will own features from the initial napkin sketch through to production. Youll be working with a massive data scale, complex security integrations, and a cutting-edge stack.
What Youll Do:
End-to-End Ownership: Design, develop, and deploy mission-critical features across our entire stack (from React frontends to Spark data pipelines and K8s-orchestrated microservices).
Scale for AI Security: Build and optimize high-performance data systems capable of processing vast amounts of security telemetry using Clickhouse, Iceberg, and Spark.
Architect for Growth: Help define our system architecture as we scale from a small team to a large R&D organization.
Collaborate & Mentor: Work closely with the product team, to translate business needs into technical reality, while mentoring future hires as the team grows.

We are on an expedition to find you, someone who is passionate about creating intuitive, out-of-this-world production-grade AI infrastructure. This group builds scalable, high-performance AI systems for internal users and external customers, designed to run seamlessly across cloud and on-premise environments using the latest hardware advancements.
:Responsibilities
Design, build, and maintain scalable Kubernetes-based infrastructure for ML workloads across on-premise and cloud environments
Architect hybrid infrastructure solutions enabling seamless model flow from on-premise training environments to cloud-based inference deployments
Implement model registry and artifact management strategies that support cross-environment synchronization, versioning, and governance
Design secure, efficient data and model transfer mechanisms between on-premise and cloud (networking, storage replication, caching strategies)
Implement and manage GPU scheduling, resource allocation, and cluster autoscaling for heterogeneous compute environments
Build and maintain CI/CD pipelines for ML systems, including model versioning, testing, and promotion across environments
Develop observability solutions (logging, monitoring, alerting) for ML infrastructure across hybrid deployments
Collaborate with ML Engineers to define infrastructure requirements and SLAs for training and serving workloads

We are looking for an experienced and visionary Data Platform Engineer to help design, build and scale our BI platform from the ground up.
In this role, you will be responsible for building the foundations of our data analytics platform - enabling scalable data pipelines and robust data modeling to support real-time and batch analytics, ML models and business insights that serve both business intelligence and product needs.
You will be part of the R&D team, collaborating closely with engineers, analysts, and product managers to deliver a modern data architecture that supports internal dashboards and future-facing operational analytics.
If you enjoy architecting from scratch, turning raw data into powerful insights, and owning the full data lifecycle - this role is for you!
Responsibilities
Take full ownership of the design and implementation of a scalable and efficient BI data infrastructure, ensuring high performance, reliability and security.
Lead the design and architecture of the data platform - from integration to transformation, modeling, storage, and access.
Build and maintain ETL/ELT pipelines, batch and real-time, to support analytics, reporting, and product integrations.
Establish and enforce best practices for data quality, lineage, observability, and governance to ensure accuracy and consistency.
Integrate modern tools and frameworks such as Airflow, dbt, Databricks, Power BI, and streaming platforms.
Collaborate cross-functionally with product, engineering, and analytics teams to translate business needs into data infrastructure.
Promote a data-driven culture - be an advocate for data-driven decision-making across the company by empowering stakeholders with reliable and self-service data access.

We are looking for a forward-thinking Data Scientist with a passion for Generative AI (GenAI) and emerging AI technologies. This role is ideal for those who thrive in rapid prototyping, proof-of-concept (PoC) development, and iterative experimentation. You will work across multiple projects, transforming innovative ideas into practical AI solutions while engaging with clients for feedback and improvement.
Responsibilities
Generative AI Innovation & Research: Design PoCs with LLMs, RAG, RL, and agent-based AI. Apply emerging AI methods to real-world business needs.
Prototyping & Implementation: Translate research into scalable prototypes and production solutions. Ensure models are efficient, adaptable, and enterprise-ready. Lead integration, A/B testing, and phased rollouts.
AI Engineering & Deployment: Architect scalable GenAI solutions for banking. Own the full lifecycle: deployment, monitoring, incident response. Build dashboards, detect model drift, and integrate feedback loops.

Were looking for an experienced Platform Team Lead to drive the evolution of our Data Platform, the backbone that powers analytics, automation, and scalability across our rapidly growing fintech ecosystem.
Youll lead a talented team of up to five developers, guide architectural decisions, and help shape the technical direction as we move from a monolithic setup toward a modern, service-oriented platform
Our technology teams are the driving force of our business.
Our tech teams maintain a dynamic, start-up atmosphere that foters innovation and critical thinking. you'll collaborate with a diverse, global team of engineers, developers, architects, customer success, and product manager leaders, collectively shaping the future of our premier product suite and transforming financial planning and analysis for the future.
What You'll Do:
Lead and mentor a team of data platform engineers, fostering collaboration, ownership, and technical excellence.
Drive the evolution of our platform - from monolithic components to scalable, service-based architecture.
Design, build, and maintain data pipelines and ETL processes that enable reliable and high-quality data flows across the company.
Collaborate closely with Product, Architecture, and DevOps teams to design and deliver reliable, high-performance systems.
Oversee the development of new features and platform capabilities - ensuring code quality, maintainability, and on-time delivery.
Guide the migration from Celery-based workflows to Temporal, improving reliability and orchestration of data flows.
Take part in shaping best practices around CI/CD, monitoring, and cloud-native development (Kubernetes).
Encourage innovation and continuous improvement within the team.

we are looking for a Deployment Engineer.
Roles & Responsibilities:
Become an important figure in the onboarding process of new customers
Help design and deploy Pentera and all its products on our customers infrastructure - On-prem and Cloud
Guide our customers to an early start with our products by getting them to production stage
Help our customers to purchase suitable hardware
Pass network knowledge to the Solutions Architects and Customer Success Managers.

Join an amazing team driving AI solutions in the fintech industry, primarily focused on evaluating risk for lending products.
This Senior Staff role is a blend of leading the full AI/ML development cycle and acting as a Data Science Architect, responsible for all engineering aspects of the work to deliver excellent, high-quality, and operationally sound AI systems.
Responsibilities:
System Architecture & Operational Excellence:
Deliver robust AI/ML system designs that meet customer and systems requirements, including latency, throughput, cost, and maintenance.
Working with partners and architects, define the vision and align on architecture for integration, ensuring excellent deliveries in terms of quality, stability, security, compliance, and operational excellence.
Drive cross-functional end-to-end design architecture.
Lead conversations with partner architects to influence AI-driven product design and strategy
AI/ML Development & Modeling:
Lead the full cycle of iterative big data exploration, including hypothesis formulation, algorithm development, data cleansing, testing, and insight generation.
Apply advanced, predictive statistical modeling and testing to extract data-driven insights from complex, large-scale data sources (relational and non-relational).
Review complex and challenging work to help simplify and execute with speed.
Strategy & Consultation:
Provide guidance to business stakeholders on how best to harness available data and fully exploit the insights revealed through the research.
Drive the design and creation of reusable AI capabilities.

We are looking for a talented Full stack Engineer with a strong backend and UI orientation and exceptional skills to join our Harmony SASEs forefront team at Check Point, which building cutting-edge, large-scale solutions that redefine cloud security and network management.

As part of our team, youll work with the latest technologies, solve complex engineering challenges, and play a key role in developing scalable and resilient fullstack systems. If youre passionate about innovation, cloud security, and high-performance architecture, this is your opportunity to make an impact!

Key Responsibilities
End-to-end features development including research, design, testing, deployment and monitoring
Contribute to technological and architectural decisions
Develop testable, reusable, and effective code to create high performance application
Analyze and improve efficiency, scalability, and stability of various components in our system
Collaborate with Designers, Product Managers, Architects and Software Engineers to deliver the best product to our customers

We are looking for a Cloud Engineer to join our growing Infrastructure cloud team in Tel Aviv and to take part in our effort to improve our product, productivity, security and the ability to scale.

You will participate in the development of a new Linux-based security product using GoLang and C++. This role centers on designing and implementing core components of a multi-threaded Linux Agent that operates across Kernel and User space, with a strong emphasis on privilege management and threat detection.
Youll be deeply involved in:
Architecting scalable, modular, and testable systems.
Diving into Linux system calls, Kernel modules, User space and security frameworks.
Working across multiple Linux distributions to ensure broad compatibility and performance.
Developing and maintaining CI/CD pipelines using Jenkins.
Creating Python-based automation for testing and deployment.
This is a hands-on role requiring deep technical expertise, architectural vision, and the ability to work independently in a fast-paced environment.

?? Help Us Revolutionize Love with AI!?? Tel Aviv, Hybrid
Hey there! We're Mylo AI, a revolutionary dating startup changing how people find love by matching them based on their authentic vibes. We're looking for a fantastic Senior backend Developer to join our adventure and make a real impact!
What You'll Do:
? Architect, develop, document, and TEST highly scalable cloud microservices
? Analyze the landscape of existing and upcoming solutions for continual improvement of Mylos cloud infrastructure
? Work with our data teams to analyze and prioritize the development and release of new features
? Upskill and investigate our architecture and AI technology