דרושים » ניהול ביניים » Principal Automation Engineer (Data Security)

we are looking for a Software QA Engineer with a strong background in networking and automation to join our infiniband (ib) and nvlink (nvl) switch QA team. our team is responsible for qualifying software stack for our ib switch, router, gateway and nvlink systems, delivering world-class networking solutions.
you will work at the heart of cutting-edge technology, validating software management features, designing topologies, developing automated TEST suites, and collaborating with engineering and product teams to ensure delivery of robust and scalable systems.
what you'll be doing:
design, develop, and execute manual and automated tests as part of software stack releases.
define, build, and manage testbed topologies for functional, regression, and performance validation.
analyze architectural designs and feature requirements for new networking capabilities.
debug failures, identify root causes, and verify fixes delivered by development teams.
schedule TEST runs, track testing progress, and generate TEST status reports with detailed defect documentation.
write and maintain automation tests across multiple frameworks ( Python, PERL ), enhancing TEST efficiency and scalability.
collaborate with cross-functional global teams including r&d, Product Marketing, and system verification.

As a Senior Software Engineer on the Cortex Platform Application team, you will be a hands-on technical leader responsible for designing, building, and operating critical backend platform services and customer facing features used across Cortex. This role is for an engineer who can combine deep platform/backend expertise with strong ownership, practical execution, and cross-team influence. You will help build scalable and reliable services, guide technical decisions, improve engineering methods, mentor engineers, and raise the quality of how the team designs, ships, documents, tests, and operates its systems. The team owns a broad set of platform capabilities, including areas such as application configuration, dashboards and reporting infrastructure, metrics, multi-tenant and MSSP infrastructure, log forwarding, notifications, auditing, access and permission engines, filtering and querying infrastructure, and other shared application platform domains. We develop customer facing features, as well as internal capabilities serving other development teams within cortex. We are looking for someone who is not only strong technically, but also enjoys being a part of a high-performing team, taking ownership from within, and helping turn strong execution into repeatable engineering practice. A successful candidate will quickly become a trusted part of the team by shipping meaningful work, learning the team's domains, and helping others move faster. Over time, this person will help the team increase delivery capacity while also improving how work is designed, documented, tested, operated, and shared across the organization. The right person will not act as an external advisor or abstract architect. They will join the team's day-to-day work, earn trust through execution, and help create organized technical influence from inside the team.
Design, build, and operate scalable, reliable, and secure backend services for the Cortex Platform.
Act as a hands-on technical leader, writing and reviewing production code for critical platform services.
Lead technical design for complex backend and platform domains, balancing long-term architecture with practical delivery.
Own and improve core platform capabilities used by internal engineering teams and Cortex customers.
Drive operational excellence, including observability, monitoring, alerting, incident response, reliability, and participation in on-call.
Improve engineering methods around documentation, testing, design reviews, ownership models, and production readiness.
Mentor senior, mid-level, and junior engineers through design guidance, code reviews, production work, and day-to-day collaboration.
Collaborate closely with product managers, architects, security experts, QA, DevOps, and other engineering teams.
Help internal customers use platform capabilities correctly by creating clarity, alignment, and practical technical guidance.
Identify gaps in systems, processes, and ownership, and lead improvements without adding unnecessary process or friction.
Contribute to a calm, practical, low-ego engineering culture focused on ownership, execution, and continuous improvement.

what if your Python automation caught a critical asic bug before the physical silicon was even manufactured? our simulation platforms make that happen every release cycle! we are the system ethernet QA team at our r&d center, responsible for the testing and qualification of virtual networking silicon (simx) and software-from l2 forwarding and l3 routing to overlays, qos, and security. with simx, developers and QA engineers get hardware-free, early access to the asic for better debugging.
we are looking for a senior QA software engineer who combines network protocol expertise with strong Python automation skills. does debugging a bgp evpn route leak excite you as much as refactoring a TEST framework? then we should talk!
what you'll be doing:
we don't just complete checklists; we collaborate closely with r&d to lead the quality of new features from design to deployment. in this role, we:
review architectural designs and requirements for new features introduced to the product
drive the design, development, and execution of tests across functional, performance, and security scopes as part of sw ga and update releases
develop Python automation suites built on clean oop principles
chase down defects and validate fixes until we fully resolve the root cause
leverage the simx platform to validate code and debug the asic long before hardware arrives

Join our Security Autonomous SOC Team as a Principal AI Engineer to transform innovative AI/LLM research into impactful cybersecurity product features. You will leverage and augment our existing infrastructure, including BI systems and CI/CD pipelines, to design, develop, and deploy advanced LLM and Agentic capabilities. Your expertise in software development, AI engineering, and modern LLM technologies will directly drive the evolution of our security operations. By building robust, production-ready AI solutions, you will make a tangible difference in protecting our digital world against complex threats.
Key Responsibilities
Design and build Agentic security solutions to improve detection, response, and remediation capabilities.
Architect, implement, and optimize end-to-end LLM pipelines ensuring scalability from data ingestion to deployment.
Develop and deploy AI agents leveraging LLMs to automate complex security decision-making tasks.
Integrate LLM APIs and fine-tune models for specific cybersecurity use cases.
Transform promising AI and LLM research concepts into mature, robust, and scalable production-ready features.
Augment established BI data systems and CI/CD pipelines to support advanced AI development and experimentation.
Develop specialized tools and frameworks extending infrastructure to support AI-driven security research and remediation.
Collaborate with cross-functional teams to integrate AI innovations into customer-facing XDR, EDR, and SOAR platforms.

Were looking for Principal Cloud Security Researcher with a strong security background to join our innovative Research team.

EDR protects the endpoint. our company protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business.

our company is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure - cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools cant see, our company provides Zero-Impact Breach Prevention, in runtime.

The Role

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.

You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.



What You'll Do

Drive Groundbreaking Research

Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team

Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

At Palo Alto Networks, we're not just building products - we're revolutionizing cybersecurity. As the Principal Product Manager for Cortex Platform, you'll lead our mission to secure the world's digital transformation. If you're ready to lead the charge in revolutionizing cloud security, we want to hear from you.
Why Cortex?
Market Leader - Join the fastest-growing cloud security platform, trusted by many customers worldwide
Innovative Culture - Work alongside some of the brightest minds in cybersecurity, constantly pushing boundaries
Massive Impact - Protect the world's most critical digital assets and shape the future of cloud security
Rapid Growth - Be part of a team that's scaling at an unprecedented rate, with abundant opportunities for career advancement
Your Impact
The Cortex Platform product group is responsible for developing core capabilities available to customers of the entire Cortex product portfolio, including XSIAM, XDR, AgentiX, and Cortex Cloud. We work directly with customers, and also collaborate with Internal teams to provide foundational capabilities for them to integrate with.
Our daily work involves tackling complex cybersecurity challenges to help customers secure their environments, all while providing a simple and intuitive user experience. We build products and features in areas such as Multi-tenant and MSSP offerings, Agentic workflows, Threat intelligence, Identity and Access Management (SBAC, RBAC etc), Case investigation, Search, Dashboarding, Reporting, Compliance and governance, Regional and Cloud Availability, Resilience, and more. We leverage AI in our development processes and integrate it directly into the products we create.
Key Responsibilities
Defining and owning the product vision, roadmap in alignment with the overall Cortex strategy for multiple cyber security platform areas including Analytics, Search & Reporting, Platform Availability, Health & Resiliency, Shared Experiences & workflows across our product portfolio
Conducting market research and competitive analysis to identify market trends and customer needs, gather customer feedback, understand customer pain points, define problem statements to propose and prioritize feature development.
Design and develop enterprise-grade features through close collaboration with partner product, research, engineering, and UX/UI design teams.
Work closely with product enablement, marketing and sales teams to evangelize the product internally and externally, and conduct product demos and presentations to internal stakeholders and customers.

we have been transforming computer graphics, pc gaming, and accelerated computing for more than 25 years. it's a unique legacy of innovation that's fueled by great technology-and amazing people. today, we're tapping into the unlimited potential of ai to define the next era of computing. an era in which our gpu acts as the brains of computers, robots, and self-driving cars that can understand the world. doing what's never been done before takes vision, innovation, and the world's best talent. as a member of our team, you'll be immersed in an inclusive, supportive environment where everyone is inspired to do their best work. come join the team and see how you can make a lasting impact on the world.
we are a fast-growing world leader supporting the most powerful supercomputers worldwide. our networking products lead the industry and connect thousands of gpus. we make outstanding artificial intelligence possible through innovative networking and computing integration. we value our people and seek excellent individuals to join us! we are looking for an experienced packaging, technology and manufacturability expert to help us build the next generation of networking products. our networking devices depend heavily on advanced packaging methods like chiplet integration, 2.5d interposers, and co-packaged optics. packaging choices influence schedule, cost, and yield equally with the silicon. we are looking for a packaging and manufacturability lead who will own the package technical view across our chip programs. this role partners with the advanced technology group to push technology limits in future products. joining an outstanding team, you will highlight package risks early, bring manufacturability into design choices before they are fixed, and find co-design approaches that improve module yield. join us in making an impact on all networking products and pushing the boundaries of technology.
what you'll be doing:
lead the technical assessment of package risk across our chip programs - identifying failure modes in substrate, interposer and assembly integration before they reach silicon, quantifying their cost and schedule impact, and bringing them to program and technology reviews with a clear position
drive new approaches to manufacturability across the board (package, substrate, interposer, silicon), spanning yield improvement, capacity and supply review, TEST strategy, thermal and assembly process maturity. push co-design levers such as tolerance relaxation by design, testability before attach, design margins, and redundancy and partial-module recovery
analyze module yield mechanics, reconcile predicted versus actual yield on units returning from assembly, and convert the findings into concrete design guidance
evaluate emerging packaging and photonics technologies, including outside partner solutions, and define our product requirements - working closely with our advanced technology group.

we are looking for a AI-First QA Automation Engineer.
As an AI-First QA Automation Engineer, you'll build and scale Playwright automation while using AI tools and agents to transform how testing is developed and executed. You'll build reusable agent skills and workflows, configure agent environments, and optimize AI-assisted test generation, execution, failure analysis, and bug reporting. Working closely with Engineering, you'll help embed reliable AI-driven automation across the R&D lifecycle.
What youll do:
Build Playwright Automation: Design, build, and maintain reliable end-to-end automation frameworks with a strong focus on stability and low flakiness.
Build and Optimize Testing Agents: Develop testing agents and their execution harnesses, including tool integrations, context management, and reusable skills. Evaluate and improve their reliability across test generation, execution, failure analysis, and bug reporting.
Drive AI Adoption: Help QA and Engineering teams adopt effective AI workflows by building shared agent configurations, reusable skills, and practical guidance for everyday development and testing tasks.
Integrate with CI/CD: Embed Playwright automation and AI-driven analysis into GitHub Actions and CI/CD pipelines, including automated test reporting and root cause analysis.
Test AI Features: Develop strategies to validate AI-powered product features, including instruction following, output quality, tool use, and agent state management.

we are a leading direct-to-consumer platform for app publishers.
we help publishers sell digital goods directly to their users - bypassing traditional app store commissions and owning the full payment and commerce experience.
the result: higher margins, better flexibility, and a more direct relationship with end users.
backed by $89m from leading investors and operators, weve grown 14x in the past year and now process over a billion dollars annually. were building the infrastructure that lets modern app businesses take back control of monetization - at scale
as a QA Automation tech lead, you will drive our automation strategy and testing frameworks. youll take end-to-end ownership of the automation architecture across all testing layers (api, UI, and e2e), from design to ci/cd integration. youll collaborate closely with r&d and product, serving as the technical leader championing quality across the team.
responsibilities
drive the automation strategy and framework roadmap, and be responsible for the framework architecture and technical standards (design patterns, structure, reusable infrastructure)
define the automation approach across testing layers: api, service-level, UI, and end-to-end, including mocking and sandbox strategies for third-party payment providers
own automation quality itself: TEST stability, flakiness reduction, execution time, and suite reliability
define and report quality metrics: coverage, pass rate, flakiness, and execution trends
integrate and evolve automation in ci/cd pipelines (github actions) for fast, reliable feedback on every change
represent testability in design and architecture reviews and surface risks early (shift-left)
partner with developers, product, and MANUAL QA to decide what gets automated, at which layer, and what does not
evaluate and introduce new tools and approaches, including ai-assisted testing workflows

We are looking for a motivated Principal Platform Engineer to join our Cortex Devops Platform group in our Tel Aviv offices. The team is responsible for the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products, as well as the enablement of the entire RnD group using self service APIs and internal tooling.
More information about Cortex can be found here(opens in new window)(opens in new window).
Your Impact
Develop the orchestration platform that manages the entire lifecycle of the production environment hosting all Cortex products deployed on GCP
Develop Kubernetes operators and cloud-native applications to streamline our infrastructure management and deployment processes.
Collaborate with engineering teams to design and enhance software architecture to improve scalability, service reliability, cost and performance.
Stay abreast of cutting-edge technologies and deploy them to production environments when appropriate.
Contribute to team-wide efforts including code reviews, design reviews, and technical/architectural decisions.
Participate in the on-call rotation to provide support for applications and infrastructure.