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We are looking for a DevOps IT Engineer to join our dynamic IT team. This role blends hands-on system administration with modern DevOps practices, focusing on building, automating, and operating scalable hybrid environments across on-prem and cloud platforms.
If you are passionate about automation, cloud infrastructure, and improving developer productivity while maintaining robust and secure enterprise systems - we want to hear from you!
Responsibilities:
Design, build, and operate scalable infrastructure across on-prem environments and cloud platforms (AWS & Azure).
Manage and evolve virtualization platforms such as VMware and KVM (Proxmox).
Implement and maintain cloud infrastructure using Infrastructure as Code (IaC) and DevOps best practices.
Own identity and access management solutions including Azure Entra ID (Azure AD), SSO, MFA, Conditional Access, and directory synchronization.
Manage enterprise endpoint solutions such as Microsoft Intune and MobileIron/IVANTI.
Automate infrastructure provisioning, configuration, monitoring, and operational workflows.
Build and maintain internal tools to improve developer experience and engineering productivity.
Ensure system reliability, performance, and cost optimization across cloud and on-prem environments.
Maintain high security standards, compliance, and operational best practices.
Collaborate closely with DevOps, R&D, Security, and IT teams to support development and production environments.
Develop and maintain clear technical documentation.

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.

We are seeking a skilled software engineer to join our NPU software stack development team. This role involves developing high-performance GPU programming frameworks, runtime systems, and libraries for AI/ML workloads. You will be responsible for implementing, optimizing, and maintaining GPU software stack components to support distributed AI training and inference.
Key Responsibilities:
Identify bottlenecks, analysis and optimize in distributed NPU eco-system
Design and develop NPU memory management system
Design and develop optimized NPU development framework, execution path and debugging
Develop compatibility with AI frameworks (Triton, PyTorch, JAX)
Write high-quality, well-tested code with comprehensive documentation
Collaborate with other teams (Hardware, Network, QA, AI Framework Integration)
Participate in code reviews and technical design discussions.

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.

Be a key part in the company EPM Agents group, owners of a combined solution for application control, privilege management, and threat detection. We are searching for a Team Manager to lead Cross-Platform Agents Infrastructure team in an agile-oriented environment. leading the journey to design, develop and innovate our EPM Agents.
The responsibilities will include:
Producing valuable and qualitative deliverables for our customers in a timely fashion
Providing technical authority to your team by demonstrating a hands-on leadership style
Hiring, mentoring and driving the professional growth of the team members
Overseeing the overall development, code quality, and production of the team
Permanent strive to keep the code up-to-date and at the highest quality, innovation and security levels
Working hand-in-hand with architects, product owners, and other teams to build robust solutions.

We are seeking an experienced technical leader to head our collective communication library development team. This role involves leading a team of engineers in developing high-performance collective communication implementations for multi-NPU and multi-node AI workloads.
Key Responsibilities:
Lead the design and development of collective communication primitives (All-Reduce, All-to-All, Gather/Scatter and etc)
Architect scalable communication protocols for multi-NPU and multi-node systems
Optimize communication performance for NPU architectures
Provide technical leadership to the team members in NPU programming, distributed systems, and communication protocols
Work with a success-driven worldwide international team (Network, NPU, QA, AI, DL/ML Framework)
Define project milestones, deliverables, and technical roadmaps
Ensure compatibility with major AI frameworks (PyTorch, TensorFlow, JAX).

We are looking for a DevTest Engineer with a strong coding mindset and a passion for leveraging AI-driven tools to enhance and evolve testing practices. The ideal candidate thrives in a dynamic environment, takes ownership of quality, and actively uses modern technologies-including AI-to improve automation, efficiency, and testing impact.
Responsibilities:
Own QA testing activities as part of a Scrum team in an Agile environment.
Design, write, and execute test plans; lead TP reviews; report and verify issues.
Contribute to PI planning and define QA scope and activities within the team.
Participate in daily meetings, proactively raising risks and blockers.
Collaborate closely with Dev, DevTest, Product, and Architecture to deliver high-quality features.
Develop and maintain automated tests in a Python environment.
Triage and analyse failures from automation regression runs.
Actively use AI-based tools to improve testing efficiency, coverage, and debugging.
Contribute to improving test frameworks, methodologies, and QA processes.

We are looking for a Senior Backend Developer to join our elite Enterprise Password Vault (EPV) team. This team is responsible for building new features for the Idira Security product that meet the highest security, stability, and performance standards of the largest enterprises in the world. You will be a key member of a highly talented, cross-functional development team working in a fast-paced, Agile-oriented environment.
Your Impact
Analyze, design, and develop new features for the CyberArk web interfaces and backend infrastructure from the requirement definition stage to the final deliverable.
Deliver high-quality, scalable code that meets strict security and performance standards.
Lead complex technical challenges, demonstrating independence, excellent design capabilities, and strong analytical skills.
Continuously adopt new technologies, understand them in-depth through rapid self-learning, and apply creative problem-solving to overcome technical hurdles.
Leverage AI tools and methodologies to accelerate development, enhance code quality, and integrate smart capabilities into the product.

We are seeking a highly skilled and experienced multidisciplinary engineer with a strong background in system design to join our team. In this role, you will contribute to our upcoming projects and play a key part in the rapid expansion of the Ethernet market.
As a such, you will be responsible for developing high-speed digital and analog circuit boards used in Ethernet products. Your duties will include designing board schematics, overseeing PCB layout, and conducting lab . Additionally, you will be responsible for evaluating new hardware solutions, providing technical leadership in troubleshooting and reviewing schematics, layouts, and design for manufacturability (DFM), as well as managing components selection.

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.

We're looking for an AI Specialist Engineer to join our AI Enablement team. This is a high-impact role where you will build products and internal tools used across the entire company, while working with the most advanced AI tools and best practices available today.
Key Responsibilities:
Develop internal AI-powered products and tools used by teams across to work faster and smarter.
Lead the evaluation, integration, and rollout of AI-powered development tools across engineering teams.
Build proof-of-concept projects and internal tooling that demonstrate the practical value of AI in real workflows.
Develop best practices, prompt engineering guidelines, and training materials for AI-assisted development.
Stay current with the rapidly evolving AI tooling landscape and advise leadership on strategic adoption.
Work hands-on with the most advanced AI development tools and shape how the company uses them.

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.

We are looking for an AI-native operator who will not only own the current sales tool stack but redefine how sales operations is run in the AI era -- designing smarter workflows and building AI-native applications for our sales team as needed.
This is a role for a versatile operator who moves fluidly between hands-on execution and strategic thinking, combining strong business judgment with a structured, organized way of working to make the whole revenue organization run sharper and faster.
What You'll Own:
Sales & Partner Operations. Lead all aspects of Sales and Partner Operations, supporting both direct and channel sales motions.
Deal desk owner. Run the end-to-end deal desk and own the commercial analysis behind each deal; build customer-facing quotes; own the quoting tool and the price list.
Tools & systems. Own the full sales tool stack (Salesforce, Gong, etc.) and take it into the AI era -- introducing new tools, designing smarter workflows, and building AI-native applications for the sales team as needed.
Process & systems definition. Define and maintain the sales process within the tools -- pipeline stages, forecasting logic, etc.
Analysis & insights. Build forecasts, prepare QBRs, and turn data into clear, well-designed analysis and insights that leadership can act on.
Strategic planning. Lead strategic planning activities including territory design and quota setting.
Back office & order management. Manage the order process across NetSuite, Salesforce, and Deal Hub; act as RFP quarterback, coordinating inputs across teams to hit deadlines.

We are looking for a Staff Performance Engineer with hands-on experience, great problem-solving skills, and self-learning ability. You should be highly motivated and have excellent interpersonal skills. A performance engineer who will identify performance and stability issues, preferably in the early stages of design, find the root cause, and suggest solutions or better design
Responsibilities:
Act as the software Performance focal point in the R&D team, lead and centralize all the relevant activities, consulting, and guidance for performance and functionality for the team
Provide actionable tasks to R&D by analysing performance results and tracking benchmarks.
Design, execute, and analyse scalability, stability, and load tests.
Review new features and assess the Performance Risk
Investigate Production/customer issues/tickets when needed
Own and maintain the performance lab environment
Provide production resource settings and optimization.