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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 looking for an experienced Firmware Manager to join the NIC Firmware team at the Yokneam site. You will take part in leading a development team in our Firmware group while taking part hands-on with development activities. The Firmware team develops cutting edge networking features for enabling the AI revolution, cloud, HPC and storage. We drive the data growth of the worlds biggest companies. With talented engineers around the globe, the work environment is dynamic, meaningful, and fast-paced.

What you will be doing:

Lead a group of engineers and provide technical guidance and career mentorship to the team. Empower the team members to excel and increase team productiveness.

Work closely with the architecture and different software design teams.

Implement new features in the core of our NIC firmware in pre and post silicon environment.

Develop verification tests for advanced features in a highly complex and sophisticated Firmware testing environment.

Gain a deep understanding of system debug, networking technology and stacks, as well as the HW/FW/SW relationship.

You will learn how a big software project is operated, maintained, qualified and released, and how Hardware and Firmware are developed.

We are seeking an experienced Senior Staff Backend Engineer for our new generation Digital Vault (DV) SaaS product. You will be responsible for building core SaaS offerings on top of an AWS serverless stack using Python, CDK, and other cloud technologies. You will work with a collaborative team of developers, architects, DevOps, and QA to produce top-notch services from planning through production.
Your Impact
Build and maintain core SaaS products using an AWS serverless stack, Python, and CDK.
Collaborate within an agile team through the entire development lifecycle, including architecture, design, testing, and automation.
Work with developers, architects, DevOps, and QA members to produce high-quality services and maintain high standards.
Engage in all aspects of the development lifecycle, including handling production-care and responding to customer feedback.

We are looking for a Staff QA Architect to join our elite team, contributing to the development of one of our strategic products for Cloud Security.
In your role, you will be responsible for developing and maintaining high-quality work procedures, leading the team to achieve better quality.
You will be involved in the full feature lifecycle - from gathering requirements with the product team to release - ensuring quality at every stage, including bug management and observability and defining QA work procedures, guidelines, and designing the entire testing process.
The ideal candidate will be responsible for leading quality activities across solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Comprehensive understanding of the product's functionality, target use cases, and the value it delivers to customers.
Lead the quality efforts across multiple interfaces with a proactive and assertive approach, serving as the key point of contact for all quality-related matters.
Define, implement, and manage QA processes, promoting a quality-driven culture and managing the quality backlog.
Define the overall testing strategy and tooling stack across integration, regression, and load/performance testing.
Drive an automation-first approach - collaborating with developers to ensure code is testable and observable.
Lead root-cause analysis for escaped bugs and define improvement actions.
Own CI quality metrics and dashboards (e.g., build stability, test flakiness, regression coverage).
Influence decisions regarding test environments, mocks, test data, and production parity.
Collaborate with the centralized quality group to ensure E2E test coverage.
Quality Point of Contact: Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.

Our networking is a world-leader in building the most powerful supercomputers in the world which drive the AI and HPC industry. These rely on high performant network ASICs which connect GPUs at scale for efficient data transfer and compute. We are looking for a hardware performance modeling architect to join our team and build a network simulator used for the design, optimization and exploration of our future networking chips. The role is cross-disciplinary, collaborating with hardware and software teams across the wider company. You will solve complex problems, develop innovative solutions and be instrumental in determining the architecture of our next generation networking solutions.

What you'll be doing:

Define the Network Adapter chip architecture end to end from the market requirements through design and all product life cycles (post/pre-silicon, on deployments). Work with related industry standards & customers on deploying your tech.

Collaborate with teams across teams (physical design, logic design, system software, firmware, applications)

Develop cycle-accurate simulation components to evaluate and analyze micro-architecture and architectural options.

Explore innovative ideas to improve and optimize our chip systems performance.

Serve as a focal point within the organization and distribute the knowledge that you acquire.

We are looking for a Senior Staff Software Engineer to join our elite team building a new SaaS product. You will use AWS serverless architecture, AWS CDK, and Python to design, develop, test, and deploy services. This role involves practicing the full software development lifecycle in an agile environment, collaborating with cross-functional teams, and exploring new technologies.
Your Impact:
Design, develop, test, secure, and deploy services from planning to production using AWS serverless architecture, AWS CDK, and Python.
Practice the full software development life cycle within an agile-oriented environment.
Lead the design, development, and delivery of features in a complex SaaS application.
Participate in continuous and iterative engineering cycles with an emphasis on code quality, supportability, scalability, and performance.
Collaborate closely with security architects, product managers, and other development teams.
Explore, evaluate, and implement new technologies and tools to ensure we are using cutting-edge solutions.
Champion high-quality code design and participate actively in code reviews to optimize and challenge the status quo.

Be part of Analyzing, designing and developing new features for the Cyber-Ark web interfaces and backend infrastructure for a fast growing SaaS enterprise product. Take part in feature development from the requirement definition stage to final deliverable.
Lead and own various development efforts in the group (Backend/Frontend)
Research platforms and frameworks in the Server side, Cloud and Container Orchestration domains, Web, UI.
Produce quality products that meet high security, stability and performance standards
Diverse technology stack using various programming languages such as Java Spring Boot, Angular 13+.
Member in a highly talented cross-functional development team, built of developers, architects and QA, in an agile oriented environment
Report to R&D team leader.

Were building foundational infrastructure to secure AI agents-including their identities, access patterns, and interactions with sensitive systems and data.
This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent and user identity tailored to the modern agent ecosystem.
As the Manager, youll not only help define how agents authenticate, receive scoped access, perform actions securely, and leave behind a verifiable audit trail - youll also be responsible for building and leading a high-impact engineering team from the ground up.
This is a rare opportunity to combine hands-on engineering with technical leadership-writing critical code, mentoring engineers, sharing knowledge, and driving best practices-while building a platform from the ground up at the cutting edge of AI, identity, and security.
Responsibilities
Lead the end-to-end development of a secure platform for managing AI agents identities, permissions, access control, and execution context.
Recruit, onboard, and mentor a team of engineers, shaping the teams culture and technical direction.
Drive the design and implementation of core services, ensuring high performance, security, and maintainability.
Enforce engineering excellence and best practices, including testing, code reviews, observability, secure coding, and CI/CD pipelines.
Stay hands-on: actively contribute to critical paths in architecture, prototyping, and complex problem-solving.
Ensure your teams deliverables meet high standards of performance, resilience, and security in production.

CyberArk's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing CyberArk 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.

Your Career:
We are seeking a highly skilled and motivated architect to join our team. The ideal candidate will be responsible for leading quality activities across groups' solution-level features, ensuring the highest standards of quality are met. This role requires a proactive individual with excellent leadership and communication skills, capable of driving quality initiatives and fostering a quality-focused mindset within the organization.
Your Impact
Oversee and manage quality activities for cross-group solution-level features, ensuring alignment with overall quality goals.
Define E2E scenarios for cross group projects and push for testable designs. Ensure E2E scenarios are covered by manual and automation by collaborating with the correct personas in the groups and the central QA.
Serve as the primary point of contact for quality-related matters concerning the unit or the cross-group feature.
Work closely with the different personas in the groups to promote quality mindset, best practices, tools and product knowledge to improve the overall quality.
Identify gaps that require a centralized solution and work with the centralized QA, PMO org and other solution quality leads to promote a holistic solution, enablement or processes.

We are looking for talented experienced and passionate engineer to join us as a Developer at the CyberArk EPM Agents group. EPM introduces a combined solution for application control, privilege management, and threat detection.
The team member must demonstrate high professional skills, be a team player mentality and always strive for new knowledge and excellence.

Were building foundational infrastructure to secure AI agents - including their identities, access patterns, and interactions with sensitive systems and data. This includes designing intelligent, dynamic mechanisms for ephemeral access control, secrets management, and agent/user identity tailored to the modern agent ecosystem.
Youll help define how agents (both machine and human-facing) authenticate, obtain scoped access, perform actions securely, and leave a verifiable audit trail.
This is a unique opportunity to be part of a start-up inside the company - building the platform from scratch at one of the most cutting-edge intersections of AI, identity, and security.
Responsibilities:
Own the design and development of secure, scalable services that enable AI agents to manage their identities, secrets, and access - directly protecting critical systems and data.
Take charge of agent authentication flows and real-time access policies, ensuring seamless, reliable just-in-time, least-privilege access.
Lead the evolution of MCPs and agentic AI, transforming innovative ideas into systems that define how intelligent agents operate at scale.
Collaborate with architects and engineers to shape and deliver high-performance platform components you can take pride in.
Write clean, maintainable, and scalable code that powers some of the worlds largest and most security-conscious companies.
Drive cross-functional efforts with platform, AI, and security teams to gather requirements, influence design decisions, and bring impactful solutions to life.

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.
Your Impact:
You'll help scale production systems, improve deployment velocity and reliability, reduce operational overhead, and build automation and AI workflows that help engineering teams move faster and operate more efficiently.
This role is a strong fit for someone who enjoys ownership, collaboration, and operational innovation.

Help build an Always-On, low-overhead GPU profiling service that runs in production, scales across cluster environments, and delivers actionable insights for ML workloads. You will be hands-on delivering our profiling solutions across system software, drivers, and CUDA to make profiling continuously available and reliable.

What youll be doing:

Develop low-overhead, high-reliability implementations in C/C++, with bounded CPU/memory budgets.

Lead end-to-end feature delivery spanning user-mode components, driver/platform layers, and performance counter/trace providers.

Establish profiling models that integrate with existing ML/AI workflows (e.g., PyTorch/XLA) to turn low-level signals into actionable insights.

We are looking for a top-notch Sr software automation engineer to drive our test efforts and automation infrastructure. You will be in charge of, first and foremost, product quality, design and plan required quality assurance tests, you will develop automation tests and needed infrastructure together with deployment to all known cloud providers using python, and working closely with a development team to address issues that were discovered. Additionally, you will be involved in developing test infrastructure for Unit-Tests, Integration-Tests and more, while providing the infrastructure as a service to the dev teams. The job is deeply hands-on and requires a deep understanding of the product, and the environments it runs.
Your Impact
Work closely with our engineering teams to understand business requirements
Own and develop test infrastructure used by dev teams, while providing them with guidance and assistance for using it
Design, plan and implement automatic tests for our critical business paths
Own and adjust our UI testing framework to support dev teams which are using it to develop end-to-end tests
Own and improve peripheral tools for our quality efforts, such as reporting, investigation etc.
Identifying, reporting, documenting and tracking defect/bug issues
Investigate, analyze and find the root causes for failed systems and software
Ability to effectively communicate with all levels of the organization
Excellent verbal and written communication skills.