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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.

We are looking for an R&D Escalation Manager to join our Harmony SASE R&D group and own the bridge between Customer Support and R&D - making sure our toughest production and customer issues reach the right team and get driven to resolution fast. This role owns the escalation system, not the escalation inbox: it is built for a driver, not a router. This is an individual-contributor role - a matrix lead who drives a cross-functional squad, with no direct reports.
Key Responsibilities
Own escalation outcomes end to end - proactively drive every escalated ticket to closure with the owning team (chase R&D, unblock stalls, guarantee SLA coverage), with no orphan issues.
Own the definitions, not just the tracking - define and periodically re-baseline escalation SLAs, severity criteria, and quality standards, and decide them independently rather than escalating the decision upward.
Lead ad-hoc task forces for critical and urgent production incidents, and ensure every severe incident produces a real post-mortem with action items that are tracked and actually closed.
Own escalation metrics and dashboards, enforce data quality, and use the escalation vantage point to spot recurring patterns and drive systemic fixes with R&D - not per-ticket firefighting.
Scale the escalation function without scaling headcount by making AI and automation the default: AI-assisted triage and routing, AIOps and auto-remediation to bring MTTR down, and continuous elimination of repetitive toil.

We are looking for an experienced DevSecOps Engineer to join our DevOps core platform team and help strengthen the security of our cloud-native infrastructure and development pipelines.
You will work closely with our CISO, DevOps team, and developers to integrate security practices across the entire software development lifecycle (SDLC), helping ensure a secure, scalable, and resilient platform across cloud and on-prem environments.
The Responsibilities:
Integrate security practices into CI/CD pipelines and across the SDLC
Design and implement automated security solutions (vulnerability scanning, compliance checks, threat detection)
Build and maintain Infrastructure as Code (IaC) for secure, scalable cloud environments (Terraform, Ansible)
Automate security controls and operational processes across cloud and Kubernetes environments
Design, implement, and optimize CI/CD pipelines with a focus on security, reliability, and performance
Secure cloud and on-prem environments (IAM, network controls, encryption best practices)
Manage and harden Kubernetes workloads, including configuration, access control, and image security
Collaborate with DevOps, developers, and security teams to improve system reliability and overall security posture
Conduct security assessments, penetration testing, and compliance audits
Monitor threats, respond to incidents, and improve incident response processes
Promote DevSecOps culture by guiding teams on secure coding, infrastructure, and deployment practices
Enhance observability by integrating monitoring, logging, and SIEM solutions

We are looking for a Technical Trainer to join our WW Technical Training team.
Who has a passion for teaching and inspiring others, who has a desire to develop and deliver comprehensive training programs.
In this role, you will leverage your expertise in training and development, instructional design, and technical knowledge to:
Train company employees and partners
Design and test engaging labs
Develop comprehensive courseware materials
Key Responsibilities
Deliver instructor-led training on our company products, technologies, and networking protocols.
Deliver a minimum of 30 training days per quarter.
Develop and build new courses for new products, technologies, and networking protocols.
Write exams and lab exercises for training.
Modify current materials of selected courses to keep them up-to-date with the latest trends and technologies.
Train both entry-level and advanced programs, including QA/TS programs in Israel and other technical courses by demand.
The position possibly requires travel 2-3 times a quarter.

We're building Cyber Threat Intelligence platform - an AI-first product that harvests, contextualizes, and serves threat intelligence at scale. We're looking for a Python-native backend engineer to own the infrastructure that makes this possible.
You'll design and build the systems that power both agentic AI workloads and large-scale data orchestration - exposing CTI insights as a service to UI components, APIs, and autonomous agents across the ecosystem. This is a greenfield opportunity where you'll shape foundational architecture decisions on a new product with a small, high-impact team.
The Responsibilities:
Build the tooling and infrastructure that enables AI agents to consume and reason over threat data.
Develop systems that harvest data from open and dark web sources, cross-reference signals, and contextualize raw intelligence into actionable insights.
Serve curated CTI data to various consumers - dashboards, internal services, and other agents in the platform.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Design and scale agent-based systems along with robust evaluation frameworks.
Instrument complex workflows with tracing and metrics - when things break in production, we need visibility to understand why.
Create developer tooling and experiences that make the platform usable for other engineers building on top of it.

We are seeking a Senior Backend Engineer to join the Sightline detection engineering team. You will design, build, and operate high-scale, low-latency backend services that score and protect web and API traffic against automated abuse, working at the core of our real-time detection platform.
What youll do:
High-Scale Engineering: Design, build, and maintain distributed, high-throughput backend services processing hundreds of thousands of requests per second with strict tens-of-milliseconds latency targets.
End-to-End Ownership: Own services from architecture and implementation to deployment and reliability. This includes full-stack instrumentation (monitoring, alerting, and tracing) to detect and mitigate production issues.
Product Innovation: Implement and evolve real-time detection and decisioning flows within the Sightline Cyberfraud Defense platform, collaborating with security researchers, data science, and product teams.
Cloud-Native Operations: Build and operate services in a Kubernetes environment using a modern GitOps stack (Go, Kafka, Redis, MongoDB, BigQuery, ArgoCD, Pulumi, Crossplane), ensuring robust rollout strategies and safe migrations.
AI-Forward Engineering: Demonstrate a deep passion for the AI-first development frontier and an expert-level ability to leverage assistants and agents to radically accelerate the entire lifecycle - from architectural scaffolding to automated tasks, skills, and complex debugging/testing.
Cross-Functional Collaboration: Partner with adjacent teams to design end-to-end flows that balance security, performance, and customer experience.
Technical Leadership: Contribute to technical design reviews and code reviews, raising the bar for quality and operational excellence across the team.

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.

We are looking for a seasoned, strategic Senior Fullstack Engineer to help shape the future of our work in Agentic AI. This critical role involves end-to-end development of advanced client and server features, handling large-scale data, aggregations, and cutting-edge UI/UX design. You will work on mission-critical technologies, collaborating with engineering, design, and data science teams to deliver impactful solutions.
What you'll do:
Design and implement scalable fullstack architectures using React and Node.js.
Develop and maintain high-performance services and data pipelines, managing large-scale data aggregations.
Collaborate with cross-functional teams - including product, design, and research - to integrate and ship new features.
Troubleshoot complex production issues and optimize system performance.
Champion secure coding practices and clean code standards.

Were looking for a hands-on Senior Automation Engineer to join our QA Automation team and play a key role in shaping the quality, scalability, and reliability of SaaS cyber platform.
In this role, youll own and evolve automation strategy, design robust testing systems, and influence engineering practices across teams. Youll work on complex cloud, security, and data-driven flows, while using AI tools as part of your daily workflow to accelerate development, improve test coverage, investigate failures, and increase automation efficiency.
The Responsibilities:
Lead the design, development, and maintenance of automated tests across UI, API, and integration layers.
Collaborate closely with developers and QA engineers to define robust test strategies and drive quality from the ground up.
Build and evolve scalable, maintainable test frameworks that empower fast and confident delivery.
Integrate automation into CI/CD pipelines, maintaining high coverage across services and components.
Participate in feature planning to align test efforts early and ensure full lifecycle coverage.
Leverage infrastructure-as-code and scripting to streamline and optimize testing environments.

We are seeking a Senior Applied Researcher/ Data Scientist to join core product organization, where you will build and deploy next-generation AI models powering real-world cybersecurity use cases across our diverse product portfolio (Posture, Detection, and CTI). The role centers on building and scaling intelligent systems powered by LLMs, advanced ML techniques, and agent-based architectures.
You will join a team within Cyber R&D organization, leading the companys core product portfolio-while driving AI innovation and setting best practices across the domain. The group focuses on developing next-generation technologies, including training and optimizing LLMs and building advanced multi-agent workflows, while mentoring data scientists across R&D.
As a key technical leader, you will guide the evolution of our AI capabilities-converting cutting-edge ideas into impactful, production-ready systems and shaping our long-term direction.
We are looking for visionary applied researchers eager to take on ambitious challenges and push the boundaries of AI in cybersecurity.
The Responsibilities:
Design and build advanced AI models and systems that power core products and address real-world cybersecurity challenges.
Own initiatives end-to-end from identifying customer-driven problems and shaping solutions to experimentation, prototyping, and production deployment.
Drive forward new ideas and research directions, turning emerging concepts into practical, scalable solutions.
Influence the organizations roadmap and contribute to long-term technical strategy across AI and product landscape.