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You will join the Platform Automation group, the central engine driving the next generation of security operations. Our team owns the foundational automation
layer of the Cortex Platform. We are responsible for the Automated Remediation capabilities that unify detection, investigation, and response across the entire Cortex suite, including XSIAM, XDR, and XSOAR, and Cortex Cloud.
As a Senior Software Engineer, you will be a high-impact technical contributor responsible for developing and scaling our automation ecosystems. This role requires an engineer who can translate emerging LLM capabilities into production-grade reliability. You will work on the technical foundations that enable autonomous security workflows, ensuring our platform is robust and compatible with the evolving Agentic AI landscape.
Your Impact
As a Senior Software Engineer, you will create simple solutions to complex problems and drive technical excellence.
End-to-End Ownership: Take full responsibility for features from inception to production, including negotiating requirements and scope with Product Managers and performing comprehensive QA/validation for your own deliverables.
Scalable Engineering Standards: Implement high-quality technical standards for the platforms automation ecosystem, utilizing advanced CI/CD governance and robust telemetry to track execution health.
Codebase Adaptability: Demonstrate the ability to quickly gain proficiency in unfamiliar, complex codebases and contribute high-quality code across different repositories and tech stacks.
AI Production Fluency: Architect end-to-end AI pipelines and design, tune, and orchestrate autonomous agentic models, keeping in mind limitations like atency, hallucinations, and determinism, seamlessly embedding advanced cognitive capabilities into scalable production systems.
Prototyping & Integration: Proactively take on new product areas, building prototypes and integrating new functionality into existing systems with minimal guidance.
Cross-Team Collaboration: Act as a technical bridge between diverse R&D teams to drive unified, complex initiatives.

In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us!
We believe collaboration thrives in person. Thats why most of our teams work from the office full time, with flexibility when its needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes.

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.

Be part of analyzing, designing and developing new features for the Idira platform web interfaces and backend infrastructure of a fast-growing SaaS enterprise product. Take part in feature development from the requirement definition stage to final deliverable using AI driven agentic development practices.
Your Impact
Lead and own various development efforts in the group (Backend/Frontend) using Agentic Development practices.
Produce quality products that meet high security, stability and performance standards.
Utilize a diverse technology stack with programming languages such as Java Spring Boot and Angular 18+.
Serve as a member in a highly talented cross-functional development team, composed of developers and QA, in an agile environment.
Report to the 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/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.
Key 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.

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.

We are a strong, fast-moving group developing advanced solutions in some of our companys most innovative areas - the Cortex Platform. Were looking for an exceptional Senior Frontend Engineer with deep technical skills and a passion for creating exceptional user experiences. Youll join a team that values clean, scalable architecture and high-quality code, working closely with product, UX, and backend teams to deliver impactful features that protect our customers from evolving cyber threats.
Key Responsibilities
Design and develop next-generation, scalable frontend applications on the Cortex platform.
Lead the development of key frontend components, taking ownership from conception through to deployment in a dynamic, agile environment.
Proactively collaborate with UI/UX experts, product managers, and backend engineers to translate complex requirements into visionary cybersecurity products.
Research, design, and implement sophisticated and complex data visualization solutions to make security data understandable and actionable.
Uphold high standards for code quality and architecture through rigorous code reviews, automated testing, and advocating for frontend best practices.
Mentor junior engineers and contribute to a culture of continuous learning and technical excellence within the team.
Analyze and optimize application performance to ensure a responsive and seamless user experience for our customers.

As a Software engineer on our Email Security team, you will play a key role in shaping and delivering a cutting-edge email security solution within the Cortex platform. Your responsibilities will include designing and developing an infrastructure capable of supporting billions of events per second, collecting, storing, processing, analyzing, detecting threats and making them accessible, visible and actionable for users while seamlessly integrating with the industrys leading cyber-security products. You will design and build a highly available, reliable, and secure solution that adheres to the highest standards. Beyond development, your crucial role involves meaningful cross-organizational collaboration, driving a significant impact to ensure the success of our product. Our Cortex engineering group, primarily based in the TLV office, allows us to operate at a high pace with short decision-making loops. In this role, you will need to demonstrate creativity, innovation and deep knowledge in backend engineering, conducting research to find new technologies. A can-do approach, a passion for excellence and a commitment to continuous improvement are essential qualities for success in this position.
Key Responsibilities
Take ownership of a brand new product, driving its development from concept and design to full implementation
Focus on meaningful, high impact work, building major parts of a groundbreaking new product
Build a new offering designed to operate at massive scale
Dive into new cutting-edge technologies, researching and integrating them to enhance the products capabilities.

We are seeking a highly skilled and modern software engineer to develop and prototype brand new advancements in distributed training and inference using our Spectrum-X AI fabric. This role offers a rare chance to pioneer AI and networking technology, contributing to ground-breaking projects that will define the landscape of large-scale AI systems. Improve AI app-networking connection by refining communication, crafting congestion control, coding NIC firmware, and expanding switch SDK features for enhanced AI factory efficiency. Your work impacts large AI system development, scaling, and speed.

What youll be doing:

Prototype end-to-end solutions to improve distributed training and disaggregated inference performance.

Analyze and optimize communication flows across application, transport, and network layers.

Develop system software spanning communication libraries, drivers, and firmware integrations.

Collaborate with hardware, firmware, and SDK teams to co-design network features.

Validate and integrate prototypes into our AI infrastructure and products.

Your Career:
As a Senior Staff 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.

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 a Staff Engineer, youll take ownership of these critical systems, designing and implementing how agents establish identity, receive dynamic access, securely interact with sensitive systems, and leave verifiable audit trails. Youll shape the long-term architecture, anticipate technical risks, and evolve systems that span both machine- and human-facing workflows.
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:
Own and guide the technical direction of core platform domains, including agent identity, authentication, authorization, and secrets management,
shaping architectures that span multiple services and teams while balancing scalability, reliability, and security.
Lead by example through high-impact implementation, mentoring engineers, and helping them navigate complex technical tradeoffs.
Proactively identify critical technical problems or gaps, and drive solutions from concept through delivery.
Establish and promote engineering best practices, ensuring high standards for code quality, security, and operational excellence.
Communicate complex technical concepts clearly to engineers, architects, product managers, and stakeholders, influencing decisions, fostering alignment, and driving cross-team collaboration.
Document key decisions, patterns, and practices to elevate team knowledge and ensure consistency across the platform.
Advocate for continuous improvement and operational efficiency, helping the team work smarter while maintaining a secure, high-quality platform.

CyberArk 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 CyberArks 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 microservices, 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 standards and NFRs.
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.

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.
Key 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.

We are looking for a Senior Software Engineer to join the SDK Verification team. The DOCA SDK enables developers to rapidly create applications and services on top of our data processing units (DPUs), leveraging industry-standard APIs. With DOCA, developers can deliver breakthrough networking, security, and storage performance by harnessing the power of our DPUs.

What you will be doing:
As a Senior Software Engineer in the DOCA verification team, you will play a key role in designing and developing the verification infrastructure for the DOCA SDK. This infrastructure is a complex system that executes thousands of tests every night across multiple hardware platforms and configurations. It includes mechanisms for error handling and fault recovery, while test results are stored, analyzed using advanced tools, and presented through live dashboards and reports. Your expertise in building robust and efficient verification systems will be critical to ensuring the reliability and quality of our software.

We are looking for an experienced and highly capable Principal/Senior Software Engineer to join the Koi team. This role is focused on building and scaling a complex, high-impact product that operates across large-scale enterprise environments. As a Principal Engineer, you will take ownership of major parts of the system and work across the full stack, including backend services, data pipelines, frontend applications, and endpoint/agent code. You will play a key role in shaping the architecture of Koi as it grows, ensuring the system remains scalable, reliable, and easy to evolve.
Key Responsibilities
Design and build scalable, high-performance systems across the full Koi stack
Own architecture and technical direction for critical components
Work across backend, data, frontend, and agent code
Tackle complex challenges related to scale, reliability, and performance
Drive best practices in system design, testing, and observability
Collaborate closely with product, security, and customer-facing teams
Identify and resolve bottlenecks and architectural limitations
Mentor other engineers and raise the overall technical bar of the team.