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As the worlds leading vendor of Cyber Security, facing the most sophisticated threats and attacks, weve assembled a global team of the most driven, creative, and innovative people. At our company, our employees are redefining the security landscape by meeting our customers real-time needs and providing our cutting-edge technologies and services to an ever-growing customer base.
our company Software Technologies has been honored by Time Magazine as one of the Worlds Best Companies and recently Gartner rated our company email security as a market leader for product, detection and innovation. We've also earned a spot on the Forbes list of the Worlds Best Places to Work for five consecutive years (2020-2024) and recognized as one of the Worlds Top Female-Friendly Companies. If you're passionate about making the world a safer place and want to be part of an award-winning company culture, we invite you to join us.
our company Harmony Email Security and Collaboration (Previously AVANAN) is a unique email solution that fully secures cloud email and cloud platforms using AI.
we are seeking a promising and talented Chaos Engineer (Chaos DevOps) to join our DevOps group. If you thrive in a fast-paced, dynamic environment, can handle multiple requests simultaneously, and enjoy working independently as part of a cutting-edge DevOps team, this is your opportunity to help make the world a safer place!

Every millisecond and every bit per second matter when you're defending the world's largest networks. We're looking for a passionate Performance Engineering Manager to lead our performance lab - an effort that spans both development and testing. This isn't only about finding where the product breaks. It's about making our products faster, leveraging and improving our AI infrastructure, and making both our products and our testing dramatically more efficient and robust.
You'll lead a team of QA and R&D engineers who design and build the tests, run them, dig into the numbers and the product, and turn what they find into concrete optimization work with development. If you love pushing the limits as much as you love finding the bug that's costing you those limits, this is your role.
Key Responsibilities
Lead and grow a team of QA and R&D engineers covering both performance development and performance testing
Set the technical direction for performance testing methodology, standards, and best practices across the lab, spanning both hardware and software projects
Leverage our existing AI infrastructure to make the lab more efficient - faster test cycles, faster analysis, faster answers, and ultimately faster, more optimized products
Go beyond identifying regressions: analyze results and actively propose performance optimizations to development teams
Increase visibility into performance results across R&D and product leadership, with clear, accessible reporting and dashboards
Own the performance strategy for our product lines, from planning and development through execution and reporting
Push traffic generator platforms to their limits to simulate real-world network and application traffic at scale
Partner with R&D, product management, and architecture teams to define what "great performance" means for our customers
Chase down performance bottlenecks at the system, kernel, and network level, and work directly with engineering to fix them
Build and maintain lab infrastructure, tooling, and automation to keep the lab sharp and scalable.

We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

Join our companys AI research group, a cross-functional team of ML engineers, researchers and security experts building the next generation of AI-powered security capabilities. Our mission is to leverage large language models to understand code, configuration, and human language at scale, and to turn this understanding into security AI capabilities which will drive our company AI future security solutions.
We foster a hands-on, research-driven culture where youll work with large-scale data, modern ML infrastructure, and a global product footprint that impacts over 100,000 organizations worldwide.
Key Responsibilities
Your Impact & Responsibilities
As a Senior ML Research Engineer, you will be responsible for the end-to-end lifecycle of large language models: from data definition and curation, through training and evaluation, to providing robust models that can be consumed by product and platform teams.
Own training and fine-tuning of LLMs / seq2seq models: Design and execute training pipelines for transformer-based models (encoder-decoder, decoder-only, retrievalaugmented, etc.), and fine-tune open-source LLMs on our company-specific data (security content, logs, incidents, customer interactions).
Apply advanced LLM training techniques such as instruction tuning, preference / contrastive learning, LoRA / PEFT, continual pre-training, and domain adaptation where appropriate.
Work deeply with data: define data strategies with product, research and domain experts; build and maintain data pipelines for collecting, cleaning, de-duplicating and labeling large-scale text, code and semi-structured data; and design synthetic data generation and augmentation pipelines.
Build robust evaluation and experimentation frameworks: define offline metrics for LLM quality (task-specific accuracy, calibration, hallucination rate, safety, latency and cost); implement automated evaluation suites (benchmarks, regression tests, redteaming scenarios); and track model performance over time.
Scale training and inference: use distributed training frameworks (e.g. DeepSpeed, FSDP, tensor/pipeline parallelism) to efficiently train models on multi-GPU / multi-node clusters, and optimize inference performance and cost with techniques such as quantization, distillation and caching.
Collaborate closely with security researchers and data engineers to turn domain knowledge and threat intelligence into high-value training and evaluation data, and to expose your models through well-defined interfaces to downstream product and platform teams.

At our company, what you do matters. Every day, we protect over 100,000 organizations worldwide from increasingly sophisticated cyber and AI-driven threats, securing their AI transformation.
Our prevention-first approach safeguards hybrid networks, cloud environments, digital workspaces, and AI systems, stopping attacks before they happen.
This is where innovation meets real-world impact. Youll help customers across industries operate with confidence in a rapidly changing digital world, working alongside smart, curious people who take ownership, challenge assumptions, and solve complex problems.
Were proud to be recognized by TIME, Newsweek, and Forbes for excellence and workplace culture.
What really sets our company apart is the opportunity to grow, contribute, and help companies navigate their AI transformation securely.
If youre excited to work at the forefront of AI-driven security on a global scale, this is the place to do it.
Key Responsibilities
We are looking for a Technical Support Engineer to join our Support team and provide high-quality technical assistance to customers and partners.
In this role, you will work with advanced networking and cybersecurity technologies, troubleshoot challenging technical issues, and play an active role in ensuring a reliable and secure customer experience.
You will take part in resolving real-world technical problems across diverse environments, working closely with customers while collaborating with internal teams to deliver effective and professional support.
Major Responsibilites
Provide first-line technical support to customers and partners via chat, phone, and email
Assist customers with basic configuration, troubleshooting, and usage of security and networking solutions
Handle support service requests end-to-end, including proper logging, tracking, escalation, and follow-up
Perform initial fault isolation and analysis for networking and security-related issues
Review logs, traffic captures, and system data to help identify root causes of technical problems
Collaborate closely with senior support engineers and internal teams to resolve customer issues effectively
Follow established troubleshooting methodologies, documentation standards, and best practices
Continuously learn and develop technical skills through training, mentoring, and hands-on experience.

We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.

ThreatCloud AI is the intelligence engine powering our company's entire security ecosystem. We're looking for a talented, passionate and highly motivated software developer who gets excited about building mission-critical systems that can't go down.
You'll architect and scale cloud-native services that analyze threats and stop attacks as they happen - not tomorrow, not in five minutes, but now. Every line of code you write directly impacts the security of enterprises worldwide, operating at massive scale with zero tolerance for downtime.
Key Responsibilities
Design, develop and maintain real-time threat detection services that operate at global scale
Build distributed systems using a mix of relational and non-relational databases to handle high-velocity threat intelligence
Apply cloud deployment best practices to ensure high availability and performance under extreme load
Collaborate in an agile environment where your technical decisions directly impact customer security.

Appdome's mission is to protect every mobile app in the world and the people who use them. We are the leader in AI-native mobile business protection, providing cyber and fraud teams with an agentic platform that builds, monitors, and maintains security defenses in Android and iOS apps — with no SDKs, no coding, and no disruption to engineering cycles.
Our platform delivers over 400 security, anti-fraud, anti-bot, and API protection capabilities, powered by deep learning models trained on a decade of mobile defense data and trillions of live threat events. From build time to runtime, Appdome's AI Agents help mobile brands detect, investigate, and respond to threats faster than ever — recognized as the best AI Platform for Cyber Resilience at RSA Conference 2026 for the second consecutive year. Leading financial, healthcare, m-commerce, and B2B brands rely on Appdome to secure over 50,000 mobile apps and protect more than 1 billion end users globally.
Appdome is an Equal Opportunity Employer. We are committed to diversity, equity, and inclusion in our workplace. We do not discriminate based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other characteristic protected by law. All qualified applicants will receive consideration for employment without regard to any of these characteristics.
?About the Role
We are looking for a Data Assurance Engineer with strong experience in data validation, automation, analytics testing, and large-scale event pipeline quality.
This role is focused on ensuring the accuracy, stability, and reliability of data across our analytics and security event systems. The ideal candidate will be responsible for building automated validations, investigating data discrepancies, monitoring data quality, and working closely with engineering, data, and product teams.
Responsibilities

* Design, build, and maintain automated validation processes for large-scale event pipelines.
* Validate end-to-end data flows across ingestion, processing, storage, and dashboard layers.
* Create SQL-based validations to verify event counts, unique devices, metadata accuracy, schema
* consistency, latency, and data freshness.
* Investigate discrepancies between production systems, staging environments, data warehouses, object
* storage, and customer-facing dashboards.
* Monitor event volume, data latency, anomalies, spikes, drops, duplicates, and missing data.
* Build and maintain CI/CD validation jobs using tools such as Jenkins or GitLab CI.
* Create clear automated reports, dashboards, and email summaries for validation results.
* Work closely with backend engineers, data engineers, QA teams, and product stakeholders to identify,
* report, and validate fixes for data quality issues.
* Support performance and scalability testing for analytics dashboards, queries, and data pipelines.
* Help improve internal data assurance processes, data observability, and production monitoring.

At Infinidat, a Lenovo company, we empower enterprises and service providers with cutting-edge storage platforms that redefine performance, reliability, and cyber resilience at scale. We’re looking for passionate and bright individuals who wish to take part in the design, development and all technical-related aspects of INFINIDAT’s Core team. The selected candidate will be part of a professional team that develops in C++ over Linux high-performance, multi-threaded, clustered, mission-critical, server-side products.

Responsibilities:

* Design, develop, and maintain Core backend services in C++ on Linux.
* Develop and optimize high-scale I/O flows, metadata management, persistence layers, and storage-related data paths.
* Maintain and optimize databases, caching, and configuration-management solutions for clustered environments.
* Develop infrastructure that serves user requests and integrates with higher-level system components.
* Investigate and resolve complex production issues while improving performance, scalability, stability, and resource efficiency.
* Collaborate closely with developers, architects, QA engineers, and product teams throughout the development lifecycle.

ISI is looking for an experienced Embedded Software Engineer to join our software team. You’ll be the single owner of the software stack on one of our satellite programs - ground station through flight computer to payloads. The code, the builds, the CI, and the system integration are yours. You’ll work alongside hardware engineers during system bring-up and the wider software team day-to-day. We’re looking for someone who reads documentation and ships independently.

Responsibilities:

* Own the software stack across ground station, flight computer, and payloads
* Maintain Yocto-based payload software: build, package, deploy
* Write and maintain the embedded and host-side software
*  Integrate code contributions from adjacent teams and turn them into shippable software
* Partner with hardware engineers on system bring-up and integration
* Debug across hardware, kernel, and userspace
*  Write and maintain automated tests and technical documentation

Advantages:

* Background in defense or other embedded-system-of-systems environments
* Experience with constrained or resource-limited Linux platforms
* Docker / containerization experience
* Familiarity with embedded interconnect protocols (I2C, SPI, UART, RS422/485) and integrating drivers that use them

As a Senior Backend Engineer , you will play a pivotal role in shaping the architecture and evolution of our backend services.The technical depth of the product means you'll have real influence over how features get defined, not just how they're built.

What you'll be doing

Design, build, test, and ship cloud-native microservices, with scalability, reliability, and observability built in.
Own features from definition to release, working with product managers and customer-facing teams to land on requirements that make sense technically and commercially.
Take on problem areas that aren't yet defined - research them, form a view on how they should work at Blink, and present a direction before building it.
Work across a range of tech stacks, particularly cloud services, Linux, and containerized environments like Kubernetes and Docker.
Design and build with security at the forefront, applying key security concepts to protect our customers and their data.

As QA Engineer of COST team you will focus on cross team integration testing performed by imitating real customer environments and scenarios.

your main responsibilities will be:

Maintaining and extending large environments configured with real-life data loaded by automated and manual activity. Preform stability and integration tests on complicated customer environments.

a global leader in advanced human-guided autonomous drone systems, is looking for an Embedded Team Lead to join our R&D organization and lead the development of the firmware and low-level software that power our real-time autonomous and mission-critical systems used by defense and security forces worldwide.

In this role, you will combine hands-on technical leadership with people management, guiding a team of embedded engineers while actively contributing to the design, implementation, and bring-up of firmware for our airborne platforms and payloads. You will own the embedded layer end-to-end - from microcontroller firmware and low-level drivers, through hardware/software integration, to production support and field-deployed systems.

This is a unique opportunity to lead development at the point where software meets hardware, in systems that operate in the most demanding real-world environments.

Responsibilities:

Lead and mentor a team of embedded software engineers, fostering ownership, accountability, and technical excellence
Take full ownership of embedded delivery, from architecture and board bring-up through serial production and field deployment
Act as a hands-on contributor to embedded C development for real-time, resource-constrained, mission-critical platforms
Drive hardware/software integration together with electrical, mechanical, and systems teams - from prototype through production
Ensure reliability, deterministic real-time behavior, and efficient resource utilization of firmware running on fielded systems
Conduct code and design reviews, enforce best practices, and maintain high development, testing, and documentation standards
Manage sprint planning, task prioritization, technical roadmap alignment, and delivery timelines within an Agile framework
Support recruitment, onboarding, and professional development of embedded engineers

We are looking for an experienced Senior Linux Kernel Engineer to join our Runtime Security Group and help build the technology that protects workloads at runtime - where sophisticated attacks need to be detected and stopped.

This is a highly technical, hands-on role at the intersection of Linux kernel development, cybersecurity, cloud-native technologies, and runtime protection.

Youll work on complex, low-level challenges that directly impact Aquas runtime security platform, designing and building scalable components for both cloud and on-prem environments.

If you're passionate about Linux internals, kernel development, eBPF, and solving deep technical security challenges, this is an opportunity to work on technology that operates at the heart of modern cloud security.

What You Will Own

Design and implement robust, scalable runtime security components for cloud and on-prem environments
Work deeply with Linux kernel internals, kernel modules, syscalls, and kernel/user-space interaction
Develop and optimize low-level components that enable runtime threat detection and protection
Leverage technologies such as eBPF for tracing, observability, security monitoring, and runtime protection
Take end-to-end ownership of complex technical initiatives - from architecture and design through implementation, testing, code review, and production delivery
Collaborate closely with software architects and senior engineers to shape technical direction and solve complex system-level challenges
Lead and contribute to technical PoCs evaluating new technologies and approaches
Work across the full software development lifecycle, maintaining high standards for code quality, performance, reliability, and security
Contribute to the evolution of Aquas next-generation cloud-native runtime security platform

A Defense-Tech company developing advanced AI and real-world technology is looking for a Senior DevOps Engineer (Backend Oriented) to take ownership of its infrastructure and deployment environment. The role combines hands-on DevOps with real backend development, Docker, and production on-premises environments.



What Youll Do:

Design, build, and own production infrastructure across on-premises and cloud environments, including customer deployments, upgrades, remote management, and recovery.
Build and maintain Dockerized services and multi-container deployments using Docker Compose.
Own CI/CD, Infrastructure-as-Code, release processes, and deployment strategy from development through production.
Build observability across the stack, including monitoring, logging, alerting, and operational practices.
Manage GPU-based workloads and ensure AI workloads run reliably on real hardware.
Contribute to backend services and APIs, improving performance, data processing, database access, and real-time event handling.
Own networking, secrets management, security hardening, and infrastructure reliability.
Work closely with backend, ML, and product teams to improve scalability, deployment, and operational excellence.