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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
our companys Secure OS group is responsible for designing, developing, upgrading, and maintaining GAiA OS - our companys Linux-based OS.
We are looking for a team leader who can lead such a team, research new technologies, navigate through an unfamiliar code, analyze the behavior of complex environments, and set a high standard when providing improvements and sophisticated solutions for our companys customers.
If you have a passion for Linux kernel and innovation - we are looking for you!

Were Looking for a Product Analyst - Join Our Data Driven Journey!
As a data-driven organization, insights from our Data Team are essential to shape our strategy and improve the experiences of our customers. Were looking for a highly motivated data analyst to join our team and work in a dynamic Big Data environment.
You are detail-oriented, analytical, and passionate about understanding user behavior. In this role, youll turn data into actionable insights, influence product decisions, and help drive the success of our platform.
Key Responsibilities:
Analyze user behavior: Monitor and evaluate website activity patterns and user flows to enhance usability and customer experience.
AB Testing: Conduct in-depth analysis of AB tests to provide stakeholders with actionable, data-driven recommendations for product and user value enhancements.
Metric Monitoring & Insights: Track product performance metrics, identify trends, and raise alerts on significant changes. Perform periodic and ad-hoc analyses to recommend impactful solutions.
Visualization & Reporting: Create and maintain dashboards, reports, and daily summaries that present key SaaS metrics and actionable insights.
Collaborate Cross-Functionally: Work closely with teams across Product, Marketing, Customer Success, Finance, and Management to support data-driven decision-making.

We are looking for a creative and passionate software developer to join our Identity Next R&D group and lead our companys new cloud identity offering.
Do you have a passion for creating scalable, cloud-architected microservices solutions and a desire to tackle complex technological challenges with a proactive approach to constant improvement? We want you!
We work with an exciting and diverse technology stack: Microservices, Kubernetes, AWS Cloud Technologies (Lambda, EKS, SQS, etc.), MongoDB, Postgres, Redis, and more.
Key Responsibilities
Lead all stages of the development cycle - from requirement to delivery to production, while developing multi-tenant, high-scaled, efficient, and secured code.
Be part of a growing and leading team developing state-of-the-art cloud technologies.
Suggest solutions for complex issues and technical challenges.
Use AI tools daily across the workflow, from research through implementation and testing.
Adapt and take on more responsibilities and own your share of the product.

We build Agentic Network Security Orchestration, a platform where autonomous AI agents reason over a live network, make decisions, and act. Our group sits at the center of our company's AI strategy. We turn some of the best cyber security data in the world into agents that keep enterprise networks understood, secured, and in control.
You'll own some of the platform's hardest problems:
Network reasoning and connectivity analysis - model a customer's live network as a knowledge graph of topology, routing, gateways, and policy. Answer what humans struggle to: can this reach that, and exactly which path does it take? This is the engine behind autonomous troubleshooting.
Structure at scale - find patterns in massive, messy networks. Group objects, traffic, and access patterns so agents can reason about intent, not one rule at a time.
Real networks. Real scale. Real impact on how enterprises secure their infrastructure.
What you'll do
Design and build the services that model, reason over, and answer questions about live enterprise networks
Turn network topology, routing, and firewall policy into a knowledge graph agents can navigate
Build clustering and analysis that find structure across millions of connections
Design scalable, reliable data pipelines and APIs that process network traffic at enterprise scale
Partner with data scientists to take models and agents from research into production
Own hard problems end to end - from a vague question to a system in customers' hands.

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.

The Architect leads the design and implementation of scalable AI platforms and central services for AI, creating shared capabilities, tools, and frameworks that transform how our company builds, delivers, and operates products.
Beyond architecture, this role drives strategic, high-impact projects with powerful ROI that positively disrupt operations and elevate customer outcomes, improving efficiency, innovation, and product value across the company.
Strategic Objectives:
Accelerate AI Transformation across the organization by designing and operationalizing central AI services and a unified platform framework that powers key transformation initiatives, including Agentic Workflows.
Institutionalize AI Engineering and Governance Standards through common architecture, services, and enablement frameworks ensuring scalability, security, quality, and compliance.
Deliver measurable transformation outcomes through strategic, ROI-driven projects that reshape how our companys products are built and operated, directly benefiting customers and business performance.
Drive sustainable transformation at scale, balancing rapid innovation with operational excellence and long-term maintainability.
Key Responsibilities
Architect the AI Transformation Framework
Design and own the end-to-end architecture that enables the companys AI Transformation vision - spanning data, models, pipelines, APIs, and governance layers.
Define blueprints and integration standards to embed AI and automation throughout the SDLC, from ideation to delivery.
Build Generative AI Platforms and Central Services
Lead the design and implementation of the AI Enablement Platform and central AI services powering transformation initiatives such as Agentic Workflows and the Knowledge Hub.
Create scalable, secure, and modular AI components that can be leveraged across product lines and engineering domains.
Partner with infrastructure, platform, and security teams to operationalize LLM-based services, retrieval systems, and agentic automation flows.
Drive Strategic Transformation Projects
Lead cross-functional initiatives that deliver tangible operational and business impact - improving speed, quality, and cost-efficiency across the product organization.
Develop strong business cases and ROI frameworks to prioritize and communicate transformation value at the executive level.
Translate successful outcomes into reusable playbooks and AI cookbooks that scale across teams, roles, and product domains.
Technical Leadership and Enablement
Act as the senior technical authority and coach for AI transformation initiatives, guiding teams through architecture reviews, proofs of concept, and scale-up phases.
Mentor internal architects and tech leads to develop AI-native architectural competencies.

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.

The Exposure Management group is one of our company's newest and fastest-growing organizations, built around a vision to reinvent how companies manage cyber risk. We bring together threat intelligence, AI, cloud-scale platforms, attack surface management, exposure validation, and automated remediation into a unified security platform used by enterprises worldwide.
Joining our team means working on cutting-edge cybersecurity products, solving complex technical challenges at scale, and helping define how organizations operationalize Continuous Threat Exposure Management (CTEM). You'll collaborate with world-class engineers, researchers, product leaders, and security experts to build solutions that transform security intelligence into meaningful action.
This is a unique opportunity to join a high-growth organization where you'll have the agility, ownership, and impact of a startup, backed by the scale, resources, and global reach of our company. Together, we're building the next generation of cybersecurity solutions that help organizations stay ahead of emerging threats.
We're seeking a Senior Full Stack Engineer to build core features for our cybersecurity platform. You'll work with a small engineering team, to deliver features that directly impact user security and experience.
Key Responsibilities
What You'll Do
Lead end-to-end feature development
Architect scalable solutions for our React/NestJS platform
Collaborate with Product, Design, and Security teams on user-facing features
Optimize application performance and security for enterprise customers
Builג scalable systems to onboard and serve a growing customer base.

We are looking for an experienced Backend Team Lead to join our Harmony SaaS Security group and lead the development of our Data Loss Prevention (DLP) platform.
Our team was born from a successful cybersecurity startup acquisition and operates with a startup mindset inside a global cybersecurity leader. We focus on building advanced security solutions that protect organizations from sensitive data exposure across modern SaaS environments.
As a Backend Team Lead, you will own the architecture and evolution of a large scale DLP platform responsible for detecting, analyzing, and protecting sensitive data across thousands of organizations and millions of SaaS events.
You will lead a team of highly skilled backend engineers, working with a modern cloud native stack including Go, GCP, Kubernetes, Kafka, and Postgres, and will design systems that process and analyze massive volumes of security data in real time.
This role combines technical leadership, system architecture, and hands-on development, with opportunities to shape the future of our platform, introduce AI-driven security capabilities, and drive engineering excellence across the team.
If you enjoy building large scale distributed systems, leading strong engineers, and solving complex security problems, we would love to meet you.
Key Responsibilities
Lead and grow a team of backend engineers, fostering a culture of ownership, innovation, and engineering excellence.
Own the technical direction and architecture of the DLP product and its backend services.
Design and build high scale distributed systems that ingest, process, and analyze large volumes of SaaS security events.
Drive architectural decisions around event driven systems, data pipelines, and cloud native infrastructure.
Collaborate closely with product managers, security researchers, and data teams to deliver impactful security capabilities.
Mentor engineers through technical guidance, architecture discussions, and code reviews.
Ensure high standards for performance, reliability, scalability, and observability.
Build and optimize systems leveraging technologies such as Kafka, Kubernetes, and GCP services.
Drive innovation by exploring and integrating AI-based capabilities for advanced data classification and security detection.
Maintain operational ownership of production systems, including monitoring, troubleshooting, and continuous improvements.

Join our company's Threat Prevention group and help shape the next generation of cyber security technologies.
We are looking for a highly technical and passionate Team Leader to lead the development of advanced Threat Prevention solutions, including next-generation security engines powered by AI and machine learning.
In this role, you will lead a team of engineers responsible for designing, building, and scaling innovative security technologies that protect organizations against modern cyber threats. You will combine strong technical leadership with hands-on development, working closely with architects, researchers, product teams and customers to deliver cutting-edge security capabilities.
Work on core technologies that protect millions of users worldwide.
Lead the development of next-generation Threat Prevention and AI-based security engines.
Influence product strategy, architecture, and innovation.
Be part of one of the industry's leading cybersecurity organizations.
Key Responsibilities
Lead and mentor a team of talented software engineers
Drive the design and development of advanced Threat Prevention technologies and security engines
Lead the development of new AI-powered detection and prevention capabilities
Own the team's technical roadmap, architecture, and execution
Take an active hands-on role in the design and implementation of core system components
Build highly scalable, high-performance backend solutions focused on security, reliability, and operational excellence
Drive innovation and introduce new technologies, methodologies, and security approaches.
Develop backend components using C++, C, and Python.

We are seeking an experienced Senior FinOps Engineer to join our growing FinOps organization. As part of our team, you'll play a crucial role in optimizing cloud spend, driving financial accountability, and implementing best practices across our technology infrastructure.
As a Senior FinOps Engineer, you'll bridge the gap between finance, technology, and business stakeholders to establish a culture of cost awareness and financial responsibility. You'll leverage your technical expertise and financial acumen to implement FinOps practices that align business value with cloud costs.
What We Offer
Career growth opportunities in a rapidly evolving field
Collaborative and innovative work environment
Opportunity to work with cutting-edge cloud technologies
Flexible work arrangements
Professional development support and certification reimbursement
Key Responsibilities
Lead the implementation and enhancement of FinOps practices across the organization
Design and implement cost allocation strategies, tagging policies, and showback/chargeback mechanisms
Develop and maintain cloud cost forecasting models and budgets
Identify cost optimization opportunities through detailed analysis of cloud resource usage
Create and maintain dashboards and reports to provide visibility into cloud spending
Collaborate with engineering teams to build cost-aware architectures and implement cost controls
Partner with finance teams to incorporate cloud costs into financial planning processes
Drive automation of FinOps processes where possible
Stay current with evolving cloud pricing models and optimization strategies
Educate and mentor teams on FinOps principles and cloud cost management.

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.