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We are seeking an experienced Cloud Backend engineer to work as a technical lead for the Identity Protection product group
You will be joining the Identity protection team that delivers detection and prevention of identity related incidents in the organizational network using the falcon sensor and cloud.
You will work with an experienced team of the best cyber-security developers, in establishing the Israeli R&D center at one of the most innovative and exciting software companies in the world today.
If you enjoy working with strong engineers and across a versatile technology stack, this job is for you.
In this role, you will lead multiple initiatives on the cloud-side of the Identity Protection modules supporting activity ingestion, detection processing, sensor telemetry, and policy management. You will be responsible for leading delivery of cloud-based solutions, while maintaining high engineering standards and working with cutting-edge technologies.
Tech Stack:
Java
Go
Python
Node.js
MongoDB
AWS
Kafka
Linux
Location:
Hybrid position.
This position is based in our Ramat Gan (Bursa), Israel office. offering the opportunity to work with a talented team on challenging technical problems at scale.

we are seeking a skilled and passionate backend engineer to join the Core Technologies Team.

As a part of our dynamic team, you will contribute to the development of the foundation of our SaaS Platform. In this role, you'll immerse yourself in a stimulating, fast-paced environment where creativity and innovation are the driving forces behind your decisions. You will have the opportunity to collaborate with our major clients, significantly influencing our business outcomes. Your primary focus will be on constructing Aqua's next-generation cutting-edge data lake, concentrating on the creation of large-scale data pipelines.

Responsibilities:

Design and develop core systems and software infrastructures, collaborating with research, product, and open-source teams.

Engage closely with engineers, researchers, product owners, and designers to identify and solve complex cybersecurity problems and spearhead the development of a new product line.

Take complete ownership of projects, from initial definition and design to development, testing, and post-deployment.

Construct multi-tenant scalable microservices deployed as part of our SaaS product.

Operate within a CI/CD environment alongside experienced and talented engineers, utilizing state-of-the-art technologies.

Plan and execute PoCs to evaluate new technologies and products.

Thrive in an environment that fosters individual growth.

At Infinidat, we help enterprises and service providers empower their data-driven competitive advantage at scale. We are a leading provider of enterprise-class storage solutions. The company’s software-focused architecture delivers sub-millisecond latency, full availability, and scalability with a significantly lower total cost of ownership than competing storage technologies. We’re looking for passionate and bright individual who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s S3 Protocol Development team. As a Software Engineer in the S3 Protocol Development team, you will design and implement core features of an S3-compatible object storage system. You will work on high-performance data paths, distributed systems logic, and protocol compliance to ensure seamless integration with high performance applications and data protection applications. Your work will directly.

Responsibilities:


* Design, develop, and optimize core S3 protocol components in a large-scale distributed storage system.
* Ensure compliance with AWS S3 API standards and extend functionality with advanced features.
* Collaborate with cross-functional teams on scalability and performance optimizations.
* Troubleshoot and resolve complex issues in development and test environments.
* Participate in code reviews, design discussions, and architectural decision-making.
* Continuously explore and evaluate new technologies and approaches to enhance protocol efficiency and system reliability.

Our DOCA team is seeking a highly motivated and hardworking experienced Engineer with hands-on capability technical experience, to design and implementation the SDK of the next generation Data Processing Unit Software, with a wide range of features related to cybersecurity and embedded systems.

This position offers the opportunity to have a real impact in a dynamic, technology-focused company impacting data centers across the world. We're united in our quest to transform the way Smart Adapters are used.

What you'll be doing:

Work with some of the best engineers to design and implement DOCA SDK and infrastructure
Responsibility for the E2E development of DOCA SDK features
Design and develop SDK libraries for networking, storage, cyber security, and high-performance computing.
Work with big companies to solve real issues that require innovation and customer orientation.

we are seeking a backend engineer with a strong foundation in building scalable, high-performance systems and a deep understanding of cloud infrastructure, distributed systems, and data pipelines. This role focuses on designing and optimizing backend services that support our machine learning (ML) operations and real-time personalization capabilities.
We foster a professional environment where experienced engineers collaborate to drive technical excellence, continuously improving our backend architecture and infrastructure. As a Backend Engineer, you will play a key role in building and maintaining the backend services that power our ML infrastructure, ensuring efficiency, scalability, and reliability.
Role & Responsibilities:
Design, develop, and optimize backend services that support ML pipelines, APIs, and real-time decision-making systems.
Architect and implement scalable and reliable data processing workflows, integrating ML models into production environments.
Build and maintain infrastructure for efficient model deployment, monitoring, and versioning.
Ensure high availability, performance, and security of backend services.
Lead initiatives to improve system architecture, reduce technical debt, and enhance development processes.
Collaborate with data scientists, ML engineers, and DevOps teams to streamline ML model integration.
Stay up to date with the latest advancements in backend technologies, cloud computing, and distributed systems.
R-263410

Were looking for a Senior Software Engineer who is passionate about both browser-based JavaScript and backend development.
This role is ideal for someone who enjoys working across the stack, solving performance challenges in the browser, and building scalable backend systems.
What Youll Do:
Develop and maintain high-performance client-side scripts using Vanilla JavaScript, ensuring compatibility and minimal impact across diverse customer websites.
Optimize cross-browser rendering, troubleshoot performance issues, and implement best practices for browser behavior and security.
Build and maintain backend services using Node.js, focusing on scalability, reliability, and maintainability.
Collaborate with product managers, designers, and engineers to define technical requirements and deliver impactful solutions.
Participate in architectural discussions and contribute to the evolution of both frontend and backend systems.
Ensure high code quality through code reviews, testing, and adherence to best practices.
Work with infrastructure components such as Redis, OpenSearch, AWS services, and Kubernetes.
Support observability and performance monitoring using tools like Grafana and Prometheus.
Contribute to initiatives around script safety, measuring and minimizing impact on web page performance across various environments.
R-244739

As a Senior Data Engineer, youll collaborate with top-notch engineers and data scientists to elevate our platform to the next level and deliver exceptional user experiences. Your primary focus will be on the data engineering aspectsensuring the seamless flow of high-quality, relevant data to train and optimize content models, including GenAI foundation models, supervised fine-tuning, and more.
Youll work closely with teams across the company to ensure the availability of high-quality data from ML platforms, powering decisions across all departments. With access to petabytes of data through MySQL, Snowflake, Cassandra, S3, and other platforms, your challenge will be to ensure that this data is applied even more effectively to support business decisions, train and monitor ML models and improve our products.
Key Job Responsibilities and Duties:
Rapidly developing next-generation scalable, flexible, and high-performance data pipelines.
Dealing with massive textual sources to train GenAI foundation models.
Solving issues with data and data pipelines, prioritizing based on customer impact.
End-to-end ownership of data quality in our core datasets and data pipelines.
Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality.
Providing tools that improve Data Quality company-wide, specifically for ML scientists.
Providing self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise.
Acting as an intermediary for problems, with both technical and non-technical audiences.
Promote and drive impactful and innovative engineering solutions
Technical, behavioral and interpersonal competence advancement via on-the-job opportunities, experimental projects, hackathons, conferences, and active community participation
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions. Provide technical guidance and mentorship to junior team members.

As Senior Machine Learning Engineer, youll work with top notch engineers and data scientists from the team on bringing it to the next level and enabling optimal user experience. The work will focus on building, deploying and serving GenAI capabilities (Agents, Tools and the orchestration between them) using the most advanced technologies and models.
Key Job Responsibilities and Duties:
Deploying machine learning models: Design, develop and deploy in collaboration with scientists, scalable machine learning models and algorithms that provide content related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
Evaluating possible architecture solutions by taking into account cost, business requirements, emerging technologies, and technology requirements, like latency, throughput, and scale.
Generative AI Development: Contribute to the development of generative models such as GPT (Generative Pre-trained Transformer) variants or similar architectures for creative content generation, Q&A, translation or other innovative applications.
Deployment and integration: Work closely with software engineers to integrate machine learning models into production systems. Ensure seamless deployment and efficient model inference in real-time environments. Collaborate with DevOps to implement effective monitoring and maintenance strategies.
Owning a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and acting accordingly when violated.
Maintain clean, scalable code, ensuring reproducibility and easy integration of models into production environments, including CI/CD.
Collaborate with multidisciplinary teams: Collaborate with product managers, data scientists, and analysts to understand business requirements and translate them into machine learning solutions.

We are looking for a Senior Software Engineer to join our team developing software solutions to control our HW in Python on Linux for various internal engineering groups, including chip designers, algorithm engineers, PHY characterization engineers, optics engineers, and other R&D teams. Our work includes building and maintaining a framework, as well as developing GUI tools that support complex engineering workflows. This role combines advanced software engineering with a hardware-oriented perspective the ideal candidate should have both the interest and background in areas such as hardware, Linux systems, and low-level drivers.

Collaborate with the development team to improve existing framework and tools, suggest creative solutions, and develop new projects.

In our group, software engineers are responsible for the full lifecycle of solutions from defining requirements and designing architectures to implementation, integration, and delivery. This approach allows every team member to grow professionally, develop a broad skills, and unlock their full potential.

What youll be doing:

Design, develop, and maintain Python-based software solutions (framework, internal tools, GUI applications with PyQt).

Collaborate with internal customers including chip designers, algorithm engineers, optics engineers, PHY characterization engineers, and other R&D teams to understand requirements and translate them into robust solutions.

Take full ownership of projects: define the solution, design the architecture, implement, integrate, and support production-ready tools.

Extend existing framework and tools, while also designing and implementing new ones from scratch.

Work within Linux environments, integrating software with hardware interfaces, drivers, and engineering workflows.

Apply OOP principles and design patterns to build scalable, maintainable software architectures.

Were seeking passionate professionals who thrive in a fast-paced, creative, and collaborative environment those who want to be part of the next generation of airspace security innovation.
Join our company and help make the world a safer, smarter place.
Become a worker! Work with the worlds leading cyber-takeover counter-drone technology provider and shape the future of safe airspace.
we are actively seeking a highly skilled and versatile Senior Full Stack Engineer to join our dynamic team. we are the leading global provider of cyber-takeover, counter-drone solutions for sensitive and challenging environments. As we continue to grow and innovate, we recognize the critical role that talented individuals play in shaping our core software features and driving our success in addressing the most difficult counter-drone challenges.
As a Senior Full Stack Engineer, you will play a key role in the development of our cutting-edge solutions to detect, track and mitigate drones. Your primary responsibility will be to successfully implement high quality and efficient FE and BE software tasks, and continuously develop new features and capabilities for our up-to-date response to new drones, while collaborating with our sensor logic engineers. This includes coding/understanding our node and react codebases, which serve a plethora of products. In addition, you will implement Scrum and Agile methodologies in your tasks, while taking features from the early requirement stage through design, implementation, integration, and then handing it over to our validation team.

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

We are seeking a Senior Network Engineer to join our AI datacenter development team. This role involves testing, validating, and scaling advanced network infrastructure across multi-vendor environments. You will be responsible for replicating real-world AI datacenter topologies, validating performance under stress, and ensuring network solutions deliver uncompromising reliability, scalability, and performance.
Key Responsibilities
Define and execute regression, functional, performance, and scale test suites for network infrastructure
Investigate complex performance and scaling bottlenecks in AI datacenters
Design and build customer-scale testbeds emulating diverse network architectures
Write and debug automation scripts (Python, Bash) to drive traffic generators and manipulate test environments
Analyze large-scale test data to identify root causes of hardware/software issues across multi-vendor platforms
Collaborate with R&D and architecture teams to validate ASIC and micro-architectural behaviors
Support POC efforts, innovation initiatives, and customer use-case reproductions
Generate comprehensive test reports highlighting results, insights, and recommendations
Validate network protocols and hardware-software interactions in AI workloads.

Senior software engineer Computer Vision We are seeking a highly motivated and experienced Senior software engineer to lead the development of an advanced Vision software stack for cutting-edge unmanned aerial systems.
In this role, you will own the design, integration, and optimization of key capabilities such as Visual-Inertial Odometry, Tracking, ATR, Motion Detection, image preprocessing and stabilization, as well as data -link and video-streaming solutions. You will work closely with Infrastructure, Mission Control, Systems Engineering, Flight Operations, and Product teams to deliver high-performance, reliable, Real-Time autonomy software for operational environments.
Responsibilities:
Contribute to the architecture, design, and implementation of Vision software modules. Lead the development of complex features from concept to production. Collaborate with mission control, systems, infra, and flight teams to ensure robust system integration.
Translate cutting-edge research and PoCs into production-grade solutions. Mentor and support junior engineers.
Ensure high performance, robustness, and Real-Time operation under constrained conditions.

As part of the Data Infrastructure team, youll help build data platform for our growing stack of products, customers, and microservices.

Our platform ingests and processes data from operational databases, telematics, and diverse product sources. Youll build robust backend services and data processing pipelines, leveraging state-of-the-art frameworks and cloud-native solutions, all while collaborating with Data Engineers, ML Engineers, Analysts, and Product Managers to turn real-world needs into resilient systems.

In this role youll:
Design & Develop Backend Services: Lead the design and implementation of backend systems and APIs for our distributed data platform

Build Data Ingestion & Processing: Architect and develop scalable ingestion pipelines with streaming ETL, Change Data Capture, and large-scale batch and stream processing

Own Data Platform Infrastructure: Implement and optimize scheduling, workflow orchestration, and data governance tools to support high-quality, compliant data flows

Drive Engineering Standards: Establish and promote backend best practices, ensuring high reliability, code quality, and maintainability across the team

Cross-functional Collaboration: Work closely with data engineers, ML engineers, product managers, and analysts to translate business needs into scalable backend systems

Mentorship: Share your backend and infrastructure expertise by collaborating, reviewing, and mentoring fellow engineers.

Join the Growth Tech TLV team to build platforms, interfaces, and telco‑facing products that accelerate growth for our company .
Senior Software Engineering Manager - Growth Tech Responsibilities
Contribute to the broader technical and organizational strategy. Identify opportunities for innovation, influence technical direction, and help shape the long-term strategy for the team and organization
Direct the planning, execution, and delivery of complex technical projects. Ensure high-quality engineering standards, remove roadblocks, and drive the team toward successful outcomes that align with organizational goals
Lead, mentor, and develop a team of managers, fostering growth, collaboration, and high performance. Provide regular feedback, support career development, and ensure team members are engaged
Partner closely with product, design, data, and other engineering teams to define priorities, set clear goals, and deliver impactful solutions. Facilitate effective communication and alignment across stakeholders.