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As a Software Engineer - Modi'in, you will take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world. You will be responsible for developing end-to-end features while working with cutting-edge technologies and handling real-world scale. You will collaborate closely with Product Managers, UX designers, architects, engineers, and cross-functional teams to shape product direction and deliver high-quality solutions. As part of a strong, experienced team, you will contribute to architectural decisions, and continuously push the boundaries of what our platform can do.

Key Responsibilities

Design, implement, and deploy end-to-end features and products, spanning from database and backend services to client-facing components.
Tackle complex, large-scale technical challenges, ensuring the performance, scalability, and reliability of platform and infrastructure.
Collaborate with Product Managers, UX designers, architects, and cross-functional teams to deliver high-quality, impactful solutions while shaping product direction.
Analyze and optimize the performance, scalability, and reliability of our products, infrastructure, and internal tools.
Work with GenAi coding assistants
Proactively research and implement emerging technologies to continuously enhance our platform offerings.

As a Senior Software Engineer , youll take part in building scalable, high-performance systems that power some of the largest digital marketing platforms in the world. Youll be responsible for developing end-to-end features - from database design and backend services to client-facing components - all while working with cutting-edge technologies and handling real-world scale. Youll collaborate closely with Product Managers, fellow engineers, and cross-functional teams to shape product direction and deliver high-quality solutions. As part of a strong, experienced team, youll contribute to architectural decisions, mentor others, and continuously push the boundaries of what our platform can do.



Responsibilities:

Design and implement end-to-end features and products, spanning from backend (including databases) to client-facing components.
Tackle complex and large-scale technical challenges in cutting-edge, high-performance systems.
Collaborate closely with Product Managers and fellow Engineers to deliver high-quality, impactful solutions.
Provide technical mentorship and support to team members, fostering a culture of learning and growth.
Analyze and optimize the performance, scalability, and reliability of products, infrastructure, and internal tools.
Stay up-to-date with emerging technologies and propose innovative ideas to continuously enhance our product offerings.

We are seeking a specialist who lives in the Network tab of DevTools. You will be responsible for designing, building, and maintaining the infrastructure that powers our data ingestion, ensuring our data pipeline delivers high success rates at scale.
What you will do:
Reverse Engineering: Dissect complex websites and mobile APIs (Android/iOS) to find hidden endpoints and efficiently extract data without rendering.
Infrastructure & Scale: Build and maintain scalable scrapers using Python that handle millions of requests daily.
Bypass Protections: Develop strategies to overcome anti-bot measures, including TLS fingerprinting, CAPTCHA solving, and header optimization.
Proxy Management: Orchestrate smart proxy rotation strategies.
Data Quality: Ensure the integrity and structure of harvested data, implementing automated validation.
Tooling: Maintain our internal scraping framework.

We are now seeking a highly motivated Lead Infrastructure & Simulation Technology expert to spearhead the evaluation and deployment of cutting-edge tools and infrastructure for our NIC architecture performance modeling team.

What you'll be doing:

Hands-on infrastructure development and maintenance using cutting-edge technologies.

Identify, evaluate, and integrate AI/ML tools specifically for hardware simulation workflows. Architect and manage the underlying infrastructure to support internal Large Language Model (LLM) projects.

Optimize SW Development Life Cycle (SDLC) & deployment: Architect and implement advanced Git branching strategies, robust CI/CD pipelines, and Docker containerization to streamline the software development lifecycle and accelerate deployment of simulation tools.

Architect scalable simulation automation: design and implement orchestration frameworks for executing large-scale hardware simulations efficiently and reliably.

We are looking for a passionate Software Engineer to join our Simulation development team. Our team is growing, and we are looking for hardworking and experienced engineers to take part in building advanced networking simulation solutions. You will be part of a team developing next generation Switch simulation, works closely with other SW R&D teams and SW Architects.

What you will be doing:

Design and develop advanced features simulating our world class Switches.

Develop solutions using advanced virtualization technology.

Write clean, efficient and maintainable code.

Collaborate with team members, SW R&D, Architects, Chip Design and FW.

XM Cyber is the leader in hybrid-cloud security posture management, using the attacker’s perspective to find and remediate critical attack paths across on-premises and multi-cloud networks. We're looking for a Senior Devops Engineer for our R&D team, who is passionate about application architecture, system design, and end to end implementation. Key Responsibilities: You will independently determine and develop architectural approaches and solutions, building automated deployment and testing environments, managing performance bottlenecks and continuously improving the security and resilience of our platform, and act as a knowledge source for other team members. If you’re a get-things-done, hands-on creative thinker and doer, this one’s for you.

Your Role: Drive, Build, and Shape
Build Scalable Solutions: Develop a robust, scalable system using a mix of languages, frameworks, and machine learning models. Youll take full ownership of features, guiding them from idea to live product.
Customer-Centric Development: Collaborate directly with customers to understand their needs and integrate valuable insights into your work.
Cross-Disciplinary Innovation: Engage in initiatives across various tech domains - from DevOps and infrastructure to data engineering and full-stack development - expanding your impact company-wide.

our company Digital Industries (DI) is an innovation leader in automation and digitalization. Closely, collaborating with partners and customers, we care about the digital transformation in the process and discrete industries. With our Digital Enterprise portfolio, we provide and encourage companies of all sizes with an end-to-end set of products, solutions and services to integrate and digitalize the entire value chain. Meaningful optimization for the specific needs of each industry, our outstanding portfolio supports customers to achieve greater efficiency and flexibility. We are constantly adding innovations to its portfolio to integrate groundbreaking future technologies. We have our global headquarters in Nuremberg, Germany, and have around 75,000 employees internationally.
We offer a role with responsibility, independence and the possibility to contribute proactive. We foster a teamwork culture with room for individual development
Area of responsibility
Designing and developing software components.
Working on complex software applications and dealing with different programming languages and frameworks.
Adding basic testing for implemented features, running test suite and investigating failures.
Writing professional Functional specifications and Design Documents.

we are a global technology leader in Electronic Design Automation, providing software solutions that help engineers around the world design and manufacture new and highly innovative electronic products. Each year, our customers use our tools to push the boundaries of technology and physics in order to deliver smaller, faster and more reliable products that run the worlds high tech devices.
We are targeting a highly motivated skilled software development engineer who will be a part of a team that develops our company analog circuit simulators represented in SolidoSim Platform. The candidates should be eager to challenge themselves with solving technical problems, passionate in learning bout high performance simulators. A successful candidate should have strong analytical and programming skills.
Job Description:
Teaming up with other developers in designing, developing, modifying, and implementing software for products (both internal and external), with focus on surpassing customers expectations by achieving high quality and on time delivery.
Main Responsibilities
Design, improve, implement, and release software that meets functionality, usability, reliability, performance, and supportability requirements.
Interface with other developers as needed to understand and manage interdependencies of project tasks, product, and flow integration issues. Participate in reviews and/or inspections of, designs, specifications, and code.
Participate in project planning and tracking - task investigation, work breakdown, and schedule estimation. Keep project team members, adjacent teams, QA teams, Customer Support and Marketing informed of project risks and status.
Write functional and design specifications.
Work with Marketing, QA to understand and support customer needs and requirements.

This candidate will be a member of a multi-disciplinary team and will develop design methodologies to exploit and expand use of our company Xpedition products. The candidate will need strong communication skills consulting and presenting to customers to articulate how the company Xpedition tool suite will help them to enhance the performance of the innovative technologies in their designs. The candidate will need to point out gaps in the customers design flow and articulate what is possible to increase the customers design capability while driving efficiencies in their development flow to meet their Time-To-Market (TTM) goals with high quality. The candidate must have experience in design and data management, ability to understand and accommodate customer IT architectures, databases, and strong programming and scripting skills associated with the intended focus.
We are looking for a person who is or can grow into a technical leadership position, potentially guiding new recruits in support of the overall System Practice. The candidate will liaison with our EBS product division, especially in areas of advanced development, customizations, development, and maintenance of CLS generated applications used in advanced processes in our customer base.

we are transforming how organizations build, run, and scale AI and accelerated compute workflows with NeuralMesh, our intelligent, adaptive mesh storage system. Unlike traditional data infrastructures, which become more fragile as compute environments grow and performance demands increase, NeuralMesh becomes faster, stronger, and more efficient as it scales - providing a flexible, adaptable foundation for enterprise and agentic AI innovation that maximizes GPU utilization, accelerates time to first token, and lowers the cost of innovation.
we are a growth-stage company backed by world-class venture capital investors and AI infrastructure industry leaders. Our technology, purpose-built for AI, has garnered over 140 patents and is trusted by more than 30% of Fortune 50 enterprises, as well as the worlds leading hyperscalers, neoclouds, and AI innovators. Our team is customer-obsessed and works accountably, boldly, and collaboratively to ensure customer success. If we sound like your kind of people, join us!
About the role
At our company, were building a next-generation platform for validating large-scale distributed systems. Our goal is to continuously ensure the correctness, performance, and resilience of the company Data Platform across every layer of the stack.
As a Senior Software Engineer, youll work hands-on on the systems and frameworks that test, stress, and validate complex distributed infrastructure under real-world conditions. Youll help design and build automated environments that simulate scale, concurrency, and failure scenarios, and youll contribute to evolving how we ensure reliability and correctness in modern infrastructure systems.
This role is ideal for engineers with a strong distributed systems background who enjoy deep technical problem-solving, working close to the system, and building tools that improve quality, stability, and confidence at scale.
What Youll Do
Design and implement core components of a distributed testing infrastructure and quality platform.
Build automated frameworks to validate functionality, performance, and resilience at scale.
Collaborate closely with infrastructure, storage, and platform teams to ensure quality is built into the development lifecycle.
Contribute to improving tooling, test coverage, and engineering best practices across the organization.

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
Staff Engineer, Core Infrastructures: Key Responsibilities
The Staff Engineer for Core Infrastructures, part of our company's Core group, is a hands-on technical leadership role vital to the reliability, performance, and overall quality of our distributed data platform. This position involves direct contributions to, and technical guidance for, the team focused on developing and maintaining essential internal tools (for testing, debugging, and development) and the core build infrastructure.
Core Responsibilities:
Lead Build and Development Infrastructure Evolution: Spearhead the design, development, and adoption of our company's next-generation build system to significantly enhance developer experience and velocity. This includes improving workflows, unit/component testing, and debug/instrumentation tools.
Boost Cross-Organizational Efficiency: Collaborate closely with DevOps, QA, and development teams to ensure a unified approach that maximizes overall quality and efficiency across the engineering lifecycle.
Integrate AI for Scale: Scale the development environment by incorporating AI-driven solutions for automated test generation, intelligent workload synthesis, and proactive anomaly detection.
Technical Leadership & Mentorship: Lead global development efforts (Israel and Europe) while maintaining a strong hands-on involvement (at least 60% of time spent on development). Act as a key influencer and mentor, cultivating a high-velocity, efficiency-focused engineering culture across teams.

We are currently looking for a Senior Machine Learning Engineer to design and implement scalable and integrate machine learning solutions into production. You will work with modern technologies like Node.js, Python, Kafka, MongoDB, and OpenSearch, AirFlow, while driving architectural decisions and CI/CD best practices. This role combines backend engineering excellence with ML deployment expertise.

The Senior Machine Learning Engineer will report directly to the Director of R&D.

Your key responsibilities will include:

Architect and develop MLE services using Python, ensuring high performance, reliability, and scalability.
Collaborate with Data Science teams to productionize ML models (model serving, monitoring, retraining pipelines).
Build and maintain CI/CD pipelines for automated testing, deployment, and monitoring.
Design and implement system architecture for distributed, event-driven systems.
Integrate and optimize Kafka for real-time data streaming and event processing.
Design and manage MongoDB schemas and queries for optimal performance.
Implement and maintain OpenSearch clusters for search and analytics use cases.
Ensure security, observability, and fault tolerance across all services.
Mentor team members and contribute to engineering best practices.

we are architecting a new approach to the enterprise data stack built for the AI era. The company Data Platform sets the standard for AI infrastructure with a cloud and AI-native software solution that can be deployed anywhere. It transforms legacy data silos into data pipelines that make GPUs, AI, and other performance-intensive workloads run faster, work more efficiently, and consume less energy.
we are a pre-IPO, growth-stage company on a hyper-growth trajectory. Weve raised $375M in capital with dozens of world-class venture capital and strategic investors. We help the worlds most innovative enterprises and research organizations, including 12 Fortune 50, reach discoveries, insights, and outcomes faster and more sustainably. Were passionate about helping our customers overcome complex data challenges to accelerate their innovation and help grow their businesses. We invite you to join us on this exciting journey if you share our passion.
As a Software Engineer, youll:
Be a key part of our companys Filesystem product area, dedicated to enhancing the quality, robustness, and performance of the core features of our large scale storage solution. Youll be working closely with highly experienced developers to develop and expand the capabilities of our storage solution, with emphasis on quality and high performance.
Key Responsibilities
Assist in the development and enhancement of distributed file system components to support data management features such as snapshots, replication, and tiering.
Work closely with senior developers, assisting them on projects while gaining insights and understanding of complex tasks and workflows.
Have a strong focus on quality with emphasis on designing and implementing unit tests.
Contribute to performance optimization efforts by learning to identify bottlenecks and implementing effective solutions.
Engage in ongoing learning to enhance the productivity, reliability, and maintainability of software solutions.
Collaborate on the design, architecture, and implementation of next-generation storage architecture.

At our company, were building the next-generation testing platform that will redefine how complex distributed systems are validated at scale. Our mission is to create an automated, intelligent testing environment that continuously validates the correctness, performance, and resilience of the company Data Platform across every layer of the stack. This is an opportunity to reinvent how next-gen infrastructure is tested, leveraging both proven engineering techniques and the latest AI-driven approaches. Youll work on solving some of the hardest challenges in large-scale systems engineering: How do you validate correctness in deeply parallel I/O systems? How do you uncover reliability gaps that appear only under extreme concurrency? How can AI tools help us automatically generate test scenarios, analyze failures, and predict weak spots before they occur? As a Staff Software Engineer, youll be at the center of these questions. Youll set the technical direction, design testing frameworks that scale with our product, and partner across engineering to raise the bar for quality.
What Youll Do:
Design and implement a next-generation testing and quality framework for distributed systems, enabling automated validation of functionality, performance, and resilience.
Leverage AI-driven tools to scale the testing environment, including automated test generation, intelligent workload synthesis, and anomaly detection.
Create end-to-end testing environments that simulate real-world scale, stress, and failure conditions.
Define and drive the technical strategy for testing across our company, setting the standard for quality engineering.
Mentor and influence engineers across teams, fostering a culture of technical rigor and reliability obsession.
Collaborate with product and infrastructure teams to ensure the testing platform is deeply integrated into our development lifecycle.