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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.

As our Principal Architect for Identity Governance and Administration (IGA), you will be the visionary lead for our identity lifecycle management, compliance, and access control strategies. You will design the integration approach between company services and IGA, as well as between on-prem applications and the IGA cloud service, strengthening overall IGA capabilities and improving scalability.
Your Impact
Lead the architectural vision and strategy for the Identity Governance and Administration (IGA) platform.
Design and oversee the integration architecture between internal services, on-prem applications, and the IGA cloud service.
Drive the enhancement and scalability of IGA capabilities across the enterprise.
Lead proof-of-concept (POC) projects and hands-on technical exploration to introduce new technologies and advance the product architecture.
Act as a collaborative technical leader, mentoring team members and working constructively with peer architects to advance shared goals.
Anticipate, assess, and mitigate technical risks while balancing architectural excellence and business priorities.
Work with product and business stakeholders to align the architectural roadmap with company objectives.

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.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.

As a Data Scientist at CyberArk, youll join a team shaping the future of identity security and pioneering research in areas of cybersecurity and Agentic AI.
Advance your data science career by applying your established expertise to solve complex, real-world problems at scale and drive innovation alongside leaders in the cybersecurity and AI space.
Research, design, Evaluate and production deployment of advanced AI/ML models, specializing in LLMs, RAG systems, and Agentic AI applications.
Explore and analyze large-scale datasets to uncover patterns and drive actionable insights.
Collaborate closely with product managers, engineers, and analysts to support feature development and validate ML ideas.
Stay up to date with the latest academic and industry trends in AI/ML and apply best practices to real-world challenges.
Grow your skills in classic machine learning, deep learning, natural language processing (NLP), LLMs and cybersecurity applications.

A member of Product Management department is responsible for product planning and execution throughout the product lifecycle, including: gathering and prioritizing product requirements, as well as working closely with R&D, product owner/functional analyst, customers, sales, go-to-market, marketing and field-services to ensure successful product releases and high customer adoption and satisfaction.
As a product manager you will:
Collect, prioritize and internally communicate product requirements, define product features, manage and communicate product roadmap
Be responsible for adoption of your product applying data, product led growth techniques and working closely with numerous groups in the organization
Engage with enterprise-scale customers to ensure high level of satisfaction with our product offering
Collaborate with sales, professional services, business development, management, and operations on a daily basis
Work closely with CyberArk technology partners to guarantee successful integrations
This role specifically will be part of the identity visibility team responsible for cross-product discovery, inventory, risk and threat. In this position you will work with different product and engineering teams to build cross domain product capabilities and offerings to power our identity security platform with differentiating value across human, machine and AI agents visibility. This work will also include integrations with third party systems and business partners.

Join our company IDIRA Product Management team in the exciting and rapidly emerging space of Agentic identity.
As Product Manager, you will lead the roadmap for Agentic Identity part of the IDIRA product management team. This domain is new and evolving quickly, so youll need to be comfortable with ambiguity, proactive research, and rapid execution to set the industry standard for how autonomous agents are authenticated and governed in organizations.
Develop deep expertise with identity management, authentication and authorization standards relevant to Agentic AI, and apply this knowledge to shape product strategy and execution.
Define and execute the roadmap for IDIRA - Agentic Identity solution, ensuring we set the industry standard for Agentic Identity authentication, authorization, lifecycle, and governance.
Act as the primary advocate for the developer experience ensuring security solutions smoothly integrate into programmatic agent development without friction.
Partner with customers and lead interviews to inform product direction and validate new market standards.
Work closely with other Product Managers and cross-functional units to leverage IDIRAs existing assets, align them to the Agentic Identity challenges.
Move fast and iterate-this domain is evolving rapidly, so youll need to research, validate, and execute quickly, adapting to new requirements and opportunities as they arise.
Prioritize high-impact deliveries that address urgent market demand.

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.

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.