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As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling our companys product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

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.
More on CIEM see here(opens in new window)(opens in new window)
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.

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.

We are looking for a SW Engineering Manager to manage and mentor a team of engineers developing AI-based Agents. In this role, you will combine hands-on technical leadership with strong execution, ensuring high-quality delivery across multiple agent projects. You will drive development processes, maintain clear communication with stakeholders, and support the team through the full lifecycle of agent development, from design to production and beyond.
Lead, mentor and grow a team of AI-agent developers; foster a collaborative and a high-performance environment.
Own team execution: sprint planning, priorities, delivery commitments, and production support.
Oversee end-to-end development of AI agents: design, implementation, integration, deployment, monitoring and continuous improvement.
Maintain a clear capability matrix and roadmap across multiple agents and integrations.
Communicate progress, risks, and status updates clearly to product, management, and cross-functional teams.
Provide hands-on technical leadership: review code, support architectural decisions, and uphold engineering best practices.

We are seeking a highly motivated and experienced Principal Software Engineer to join our group. As a senior developer, you will design and build our new high-scale, complex, cutting-edge systems built in Angular, React & Python running over AWS. You will enjoy both infrastructure and applicative challenges.
Your Impact:
Practice all software development life cycle in an agile-oriented environment.
Design and implement the infrastructure of the system.
Research and implement sophisticated Cyber security mechanisms.
Explore new technologies and tools to keep us using cutting-edge solutions.
Help guide and contribute to feature design and implementation to bring the product to the next level.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.

Required Principal AI Software Engineer (CORA AI)
Your Career:
As a Principal AI Software Engineer on our Generative AI foundation team, you will build AI agents and shared infrastructure that power GenAI capabilities across the company. You will be involved in the full software lifecycle, from fast-moving prototypes to production-grade systems, enabling CyberArks product lines to adopt agentic workflows safely and at scale. You will collaborate with product managers, researchers, and engineers to translate ideas into robust services, bringing a pragmatic mindset to experimentation, iteration, and operational excellence.
Your Impact:
Engage in the full software lifecycle, from fast-moving prototypes and POCs to production-grade, observable systems.
Collaborate with product managers, researchers, and engineers to translate ideas into robust services.
Work hands-on with leading LLMs and the modern agentic ecosystem, leveraging a wide range of AWS services.
Use cutting-edge frameworks and techniques to develop, evaluate, and continuously improve solutions.
Implement solid design, flexible implementation, strong telemetry, and production feedback loops.

our company's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing our company Secrets Manager's infrastructure and application development life cycle.
The DevOps team collaborates with developers and works with PM to deliver new capabilities and continuously improve the services' robustness, availability, and quality.
We are looking for an outstanding DevOps Engineer with an "automation first" mindset who is passionate about continuous integration and continuous deployment methodologies and best practices, performance, stability, and security.
Responsibilities:
As part of your role, you will design, implement, and deploy products and infrastructures that will directly increase our stability and quality while reducing our time to market.
Have end-to-end ownership from individual development environments, SCM, Build/CI server, to our production system on AWS.
Design and manage Continuous Integration/Deployment Services (build, packaging and deployment)
Design, document, implement and maintain scripts to enhance current and future build and release processes
Incorporate new development projects into existing build structures
Continually evaluate tools and technologies to improve the overall release process.

we are looking for a CONTRACTOR: Forward Deployed Engineer .
As a Forward Deployed Engineer on the Predict team, you'll embed directly with customers and prospects to design, build, and ship predictive models inside their real-world data environments - and feed what you learn back into the product. This is a hands-on, hybrid role at the intersection of engineering, technical consulting, and customer-facing work. You'll own the technical side of the customer journey end-to-end: from pre-sales discovery and proof of value, through data modeling and integration, to enablement and adoption. SQL is a daily tool in this role. This is a contractor engagement based in Herzliya, Israel, working on United States EST hours.
This role is based in Herzliya, Israel and works hybrid from Pendo's Herzliya office.
What this looks like day-to-day:
Run technical discovery with customers to assess product analytics maturity, data availability, and business processes - and use that to set realistic implementation expectations and position Predict for their stage.
Work hands-on with customers to design the data model and define the business metric the model will predict; map customer data sources (Pendo, Salesforce, Snowflake, and other warehouses) to Predict requirements and best practices.
Build and present compelling predictions in the prospect's own domain - explain methodology, model accuracy, and activation to earn credibility with technical stakeholders including data and data science teams.
Guide customer IT and data teams through integration steps, optimize model parameters for each customer's specific context, and diagnose and resolve blockers quickly - data quality issues, configuration gaps, and expectation misalignments included.
Help customer teams translate predictions into actions and playbooks; document how different teams (CS, Sales, Product) should respond to predictions for consistent, repeatable outcomes.
Identify and enable champion users to evangelize Predict internally - and channel field learnings back to Product and Engineering to shape the roadmap.

Your Career:
Own and continuously improve AWS production infrastructure for scalability, reliability, security, performance, and cost.
Run and evolve Kubernetes environments that support fast, safe product delivery.
Drive developer velocity and production safety through better CI/CD pipelines, release workflows, deployment visibility, and GitOps practices.
Improve observability and incident response - reduce alert noise and raise signal quality.
Design and ship AI-assisted operational agents that change how engineers work - triaging monitoring alerts, summarizing incidents, proposing fixes, onboarding new services, answering questions and requests. This is a core part of the role, not a side project.
Build automation and self-service tooling that removes manual work from provisioning, monitoring, incident response, and developer workflows.
Analyze operational data across incidents, alerts, deployments, infra health, and cost to find reliability gaps, inefficiencies, and automation opportunities.
Partner with engineering, security, product, and leadership to remove bottlenecks and support safe production growth.
Evaluate and introduce new tools and AI-assisted approaches, balancing innovation with reliability, cost, and operational simplicity.