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As a Software Development Engineer in Test on our team, you will own the quality of Nitro card embedded software and firmware. You will design, develop, and maintain test automation for embedded systems and components, covering hardware interface verification, real-time firmware behavior validation, firmware update integrity, and fleet-scale deployment confidence. You will collaborate closely with firmware development teams to troubleshoot complex system-level problems at the hardware-software boundary and ensure timely delivery of high-quality Nitro card software to AWS Cloud solutions.

Key job responsibilities
- Own the firmware test automation framework - architect, develop, and extend a Python-based validation solution that scales across multiple Nitro card generations and hardware platforms, automating test coverage across the full firmware stack from boot sequences through board management layers and card-level system integration.
- Design and implement traceable, specification-driven test cases that validate firmware functional correctness, fault tolerance, and performance across hardware components, communication interfaces, and cross-subsystem interactions.
- Optimize CI/CD pipelines by integrating pre-merge and post-merge firmware validation, defining trigger policies per hardware generation, enforcing coding-standard compliance, and reducing commit-to-validated cycle time.
- Troubleshoot complex embedded system failures by analyzing firmware logs, system traces, and hardware diagnostics, then translate field incidents into targeted regression suites that prevent recurrence.
- Collaborate with firmware and hardware teams during new-generation silicon bring-up, define test plans, drive quality gates for production release, and mentor teammates on testing best practices and system architecture.

A day in the life
You start your morning reviewing overnight CI results and triaging any firmware validation failures flagged across active Nitro card generations. Mid-morning, you pair with a firmware engineer to debug a boot-sequence regression discovered during pre-merge testing, using hardware-in-the-loop test benches and system traces. After lunch, you join a design review for a next-generation Nitro card, providing input on testability and proposing validation strategies for new subsystem interfaces. Later, you refine your test framework to improve coverage for a recently released feature, then wrap up by sharing your findings in a team knowledge-sharing session.

Palo Alto Networks is looking for a Senior Software Engineer to join our team responsible for the machine identity and access offering, designing and developing services used as part of Palo Alto Networks' SaaS products.
The team designs and develops services that integrate closely with leading cloud vendors like AWS, Azure, GCP, and many other DevOps services and tools, providing managed access to sensitive assets in the organization.
In this role, you will be using advanced AWS micro-services, with Ruby, Golang, Java and Python through the entire SDLC from planning to production.
The team collaborates with security architects, product managers, and other development teams.
Together we produce complex and advanced solutions that meet the highest security and scalability standards.
We are looking for someone energetic and versatile to join our family and help us achieve our goals.
Design and develop new features using container-based architectures
Research new technologies and platforms
Be a member of a highly talented cross-functional development team of developers, architects, and QA engineers, in an agile oriented environment
Participate in continuous and iterative engineering cycles, emphasizing code quality, supportability, scalability, and performance.

We are seeking an experienced, people oriented Engineering Manager to lead our high-performing Identity Authentication engineering team. Driving the modernization of core, mission-critical authentication domains across our primary product, delivering massive impact at scale. In this role, you will balance technical leadership, people development, and operational execution to deliver secure, scalable, and resilient SaaS cloud services. Working in close partnership with Product Management, Security Architects, and cross-functional engineering leaders, you will foster a culture of continuous delivery, technical excellence, and innovation. You will empower a team of talented engineers, remove roadblocks, and ensure our systems satisfy demanding global scale, high throughput, and Non-Functional Requirements (NFRs).
Your Impact:
Drive agile engineering practices to deliver high-quality, production-ready features on schedule while maintaining a strong balance between feature delivery, platform health, and technical debt.
Partner with domain experts to guide architectural decisions, review designs, leveraging no-code, low-code, and AI-based solutions.
Maintain high standards for service reliability, production health, automated testing (CI/CD), and incident response.
Mentor, coach, and grow a high-performing team of software engineers; conduct 1:1s, support career development, and foster an inclusive, high-trust engineering culture.
Align team goals with Product Managers, Security Architects, and global stakeholders to translate business strategy into clear technical execution plans.

We are seeking an energetic and versatile Principal Software Engineer to join our elite team responsible for building our Identity Directory Service and User Management platform. In this role, you will be a core technical authority using AWS architecture, AWS CDK, and .NET to design, develop, test, secure, and deploy high throughput, production ready cloud services from planning to production.
Working in full collaboration with security architects, product managers, and cross functional development teams, you will produce complex and advanced SaaS services that satisfy demanding scalability, security standards, and Non-Functional Requirements (NFRs).
Your Impact
System Architecture & Design: Lead the architectural design and system implementation of cloud-native, distributed microservices using AWS and .NET following secure-by-design principles.
SDLC Mastery: Practice all aspects of the software development lifecycle within an agile, continuous-delivery environment.
Research & Innovation: Spearhead research into modern cybersecurity mechanisms, evaluate emerging tech stacks, and pioneer cut-edge solutions to solve complex platform bottlenecks.
Technical Mentorship: Drive engineering excellence through code reviews, design discussions, and active coaching to uplevel engineers across the team.
Quality & Scalability: Participate in continuous and iterative engineering cycles with a heavy focus on code quality, testability, supportability, performance, and cost optimization.

we are looking for a AI Native Engineer (Node. js).
You will join a high-impact AI engineering team within R&D, owning problems end-to-end from understanding the business need, through architecture and implementation, to production monitoring. This is a new way of working at Payoneer: you'll work directly with business stakeholders, ship AI-driven capabilities at speed, and help define the methodology as we build it.
As a member of the AI Foundations organization, you will lead best practices, champion early adoption of new technologies, and influence the direction of our R&D guild - building and shipping cutting-edge agentic applications that deliver seamless experiences to our users.
Location
Hybrid - Herzliya, Israel
Full-time
What you'll do:
Own the full development loop understand the business problem, define the solution, architect it, build it, ship it, and monitor it in production
Use AI as your primary development tool, achieving in a day what used to take a team a week
Collaborate with your team and business stakeholders to define decision logic, risk thresholds, and success metrics
Design and build evaluation frameworks as part of every solution you don't ship what you can't measure
Own production readiness monitoring, alerting, and observability go in on day one
Contribute to shaping team practices, tooling, and engineering standards across the pod
Decompose business problems into agentic workflows, orchestrated flows, and reusable capabilities.

We are looking for a Design System Tech Lead to lead the evolution of Design System into a modern, scalable, and AI‑ready frontend platform.
This role focuses on platform ownership, not feature development. You will be responsible for improving how designers, developers, and tooling (including AI tools) build consistent, high‑quality user interfaces across the company.
What youll do:
Lead the modernization and technical direction of the Design System.
Own component architecture, design tokens, theming, accessibility, and performance.
Improve developer and designer adoption by reducing friction, improving documentation, and simplifying upgrades.
Make the Design System machine‑readable and tool‑friendly, enabling automation and AI‑assisted development.
Define quality standards, testing strategy, and governance for Design System changes.
Work closely with product design, frontend teams, platform, and DevOps partners.
Mentor engineers and contribute to frontend platform best practices.

The Labs Security Team secures the firmware at the foundation of our custom silicon. We work on Graviton processors and the Nitro System - hardware that runs a substantial share of the world's cloud workloads - in close collaboration with the silicon architects and firmware developers who design it. Our engineers operate at the lowest levels of the stack: secure boot chains, hardware root of trust, attestation, cryptographic protocol design, and the boundaries between trust domains within the system.

Key job responsibilities
As a Security Engineer, you will threat model new silicon and firmware architectures, conduct low-level penetration testing against privileged and externally reachable interfaces, review designs and code across multiple firmware components, and build the fuzzing and analysis tooling that makes this work repeatable at silicon scale. You will also help raise the security bar across the wider organization through direct engagement with firmware and hardware teams. We are looking for engineers fluent in C and ARM assembly, with real depth in secure boot, applied cryptography, or embedded exploitation, and the technical credibility to hold a position in a room full of people who designed the system you are testing.

As a Senior Technical Product Engineer, you will be a key bridge between the product and the field, ensuring our product meets customer needs and that customers maximize its value. You will act as the product expert for customers and field agents, managing technical engagements from pre-sales to post-sales. Your role involves designing integrations and translating customer requirements into scalable product capabilities, ultimately shaping the future of our offerings.
Key Responsibilities
Collaborate with Sales, Product Management, partners, and customers to drive innovation and ensure secure, scalable adoption of AES solution.
Lead complex, cross-functional projects that shape the product roadmap and align with field-driven priorities.
Design and oversee customer POVs, deployments and integrations (APIs, workflows, security controls) and identify new integration opportunities.
Provide actionable feedback to Product Managers to influence development in areas such as cloud posture, workload protection, and identity management.
Design and deliver automation content, playbooks, and lead enablement initiatives across partners, sellers, and customer facustomer-facingcing roles.
Advocate for best practices in securing modern application architectures using automation, contextual risk insights, and risk driven policies.

We are looking for a Principal MLOps Engineer with a deep focus on ML Platforms and Infrastructure to join our Data & AI group at Cortex Research. Our team is responsible for designing, building, and scaling the foundational MLOps and LLMOps platforms that power both our Data Scientists and Security Researchers. You will architect the high-performance core infrastructure that enables these roles to build, train, and deploy advanced AI systems-ranging from optimized Small Language Models (SLMs) to complex agentic workflows and RAG systems. If you are passionate about building scalable compute platforms and automating the full ML lifecycle to solve complex data and security challenges, we want to hear from you.
Key Responsibilities
Scale Distributed Training: Design and optimize infrastructure for training and fine-tuning LLMs and SLMs, leveraging distributed GPU workloads, efficient clustering, and compute optimization.
Automate the ML Lifecycle: Architect robust, automated pipelines for continuous training (CT) and deployment (CD) of models, ensuring a seamless flow from raw data collection to production environments.
Build Model Infrastructure: Own the serving architecture for LLMs/SLMs, balancing latency, throughput, and GPU utilization under production traffic.
Implement Advanced Monitoring: Establish comprehensive observability systems to monitor live model performance, data drift, and computational metrics, feeding insights back into the automated training loops for continuous improvement.
Collaborative Architecture: Partner closely with data scientists and security researchers to productize complex model architectures and streamline their workflows, while collaborating with our DevOps team to integrate with core cloud infrastructure.

we are looking for a Senior Backend Developer (C# or Java).
By taking the complexity out of the financial workflows-including everything from global payments and compliance to multi-currency and workforce management, to providing working capital and business intelligence-we give businesses the tools they need to work efficiently worldwide and grow with confidence.
Location: Herzliya-Glilot
Hybrid
Full-time
What youll do:
Take a leadership role in achieving team goals, contributing to the overall design, architecture, development, quality, and production deployment of the team's systems.
Design and implement robust, scalable, and maintainable backend solutions for complex scenarios, ensuring high-quality results that may be consumed by other teams.
Collaborate effectively within your team and with cross-functional partners, such as Product, Design/UX, DevOps, and other R&D teams, representing your team as needed.
Maintain and improve the team's engineering practices, suggesting and implementing technology, patterns, or process enhancements.
Proactively identify areas of improvement in team systems, processes, and scalability.
Lead by example in code quality, contributing significantly to code reviews and acting as a focal point for engineering excellence questions.
Help monitor production systems, investigate potential issues, and lead efforts to resolve critical production challenges while maintaining a customer-centric approach.

As a Technical Program Manager (TPM) in the R&D PMO team. You will bridge the gap between large-scale organizational architecture and processes and modern, automated execution. You will be responsible for designing, implementing, and scaling critical cross-functional processes-such as R&D planning, dependency tracking, and operational governance-across multiple engineering and product divisions. You are proactive leader and an AI-fluent builder. You will lead complex stakeholder alignment across different groups, but you will also actively leverage AI workflows, low-code automations, and modern tooling integrations to bake your processes directly into our R&D environment. Your goal is to deliver operational solutions while permanently eliminating manual "administrative tax" for our developers.
Your Impact
Architect Cross-R&D Operating Models: Lead the end-to-end design, rollout, and optimization of massive cross-functional frameworks (e.g., quarterly/annual planning cadences, execution governance, and cross-team dependency mapping) aligning cross R&D teams with core business priorities.
Drive Stakeholder Alignment & Change Management: Serve as the central pivot across Engineering and Product functions. Navigate conflicting priorities, build high-trust alignment, and coach diverse teams through organizational changes.
Programmatic Process Automation: Actively explore, prototype, and implement smart tooling, API integrations, and AI-driven workflows to automate data aggregation, status tracking, and reporting-ensuring operational consistency without sacrificing developer velocity.
Optimize R&D Effectiveness: Mine and analyze R&D delivery metrics, telemetry, and performance data to identify systemic friction points. Deploy scalable engineering-adjacent solutions rather than adding manual check-ins or status meetings.

We are establishing a new role focused on bridging AI capabilities with our internal DevOps platform. You will build AI-powered tools and services that run on top of the DevOps platform developed by the infrastructure team. This role combines hands-on DevOps/platform engineering work with close collaboration with software development teams, enabling them to build, deploy, and operate AI solutions efficiently, securely, and in alignment with organizational standards. You will act as a technical enabler, helping teams bring AI-driven applications into production while ensuring best practices across architecture, compliance, DevSecOps, FinOps, and AI governance. The role also includes direct contributions to the platform itself.
Your Impact
Enhance DevOps platform capabilities to support AI-based tools and workloads.
Work closely with development teams to enable and support AI application delivery end-to-end.
Assist in designing architecture and production-grade implementation of AI systems.
Lead and enforce DevSecOps practices, compliance requirements, and governance standards for AI solutions.
Develop platform components and internal services as part of the AI infrastructure layer.
Support production readiness, monitoring, performance, reliability, and cost optimization (FinOps).
Serve as a technical interface between multiple engineering teams.
Participate in future on-call rotations.

We are looking for an experienced Senior DevOps Engineer to join our Platform Services team. In this role, you will design, build, and operate scalable platforms and infrastructure across a hybrid on-premises and multi-cloud environment, enabling engineering teams to develop, deploy, and run services efficiently, securely, and reliably.
You will work in a complex, large-scale production environment that combines on-prem infrastructure with AWS, GCP, Kubernetes, Infrastructure as Code, automation, observability, and AI-driven technologies.
What you'll do:
Design, build, and maintain hybrid infrastructure spanning on-premses platforms, AWS, GCP, and multi-cloud architecture
Operate and scale Kubernetes-based containerized production environments
Implement and manage Infrastructure as Code using Terraform and Helm
Build and maintain CI/CD pipelines and automation with Azure DevOps, GitHub Actions, and Argo CD
Drive platform engineering initiatives - developer self-service portals, internal tooling, and golden paths
Establish and improve observability and reliability practices using Prometheus, Grafana, and Coralogix
Write automation scripts and tooling in Python, Bash, and PowerShell
Own cloud networking, security, IAM, secrets management, and governance across environments
Lead production troubleshooting, incident management, and root cause analysis
Architect solutions and provide technical leadership in close collaboration with R&D teams
Leverage AI-based tools to improve automation, incident analysis, operational efficiency, and developer workflow

We are seeking an experienced and talented backend principal software engineer to work with Java in a Spring Boot framework and a microservices architecture. You will face challenges in algorithmics, architecture, and scalability, requiring you to master new technologies and become productive in a short time. You will work with cutting-edge technologies bound to become the next standards in the security industry.
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Your Impact
Take part in the development of a large and complex cloud security solution for large organizations.
Master cloud security to develop the most advanced cloud security solution in the market.
Write clean, testable, readable, scalable and maintainable Java code that scales and performs well for thousands of customers.
Develop using the most advanced Java technologies to date.
Design your features in an advanced architecture model built to meet the scalability requirements by our large customers.

Palo Alto Networks is seeking a Senior or Principal Backend Engineer (we are open to hire both levels) for our Cortex engineering group, focusing on Cortex XSOAR, Cortex XSIAM, and new Cortex AI solutions. In this role, you will design and implement robust backend services for our leading-edge security orchestration, automation, and response platform. You will also contribute to creating innovative AI-based solutions, enhancing shared Cortex infrastructures. This is an exceptional opportunity for those eager to advance Cortex products with AI-driven capabilities and make a significant impact in the cybersecurity industry.
Your Impact:
Own the end-to-end backend development of features and components, from design and development to testing, deployment, and maintenance.
Proactively collaborate and exchange information with peers across different teams and disciplines to shape solutions and ensure alignment on product integrations.
Contribute to team-wide efforts including code reviews, design reviews, and architectural decisions, ensuring high-quality and maintainable code.
Apply a production-oriented approach, providing real-time mitigation and effective solutions to production issues to ensure platform stability and reliability.
Challenge curiously and positively by exploring new technologies and methodologies to enhance our backend services and AI capabilities.