Were building foundational infrastructure to secure AI agentsincluding 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 leadershipwriting critical code mentoring engineers sharing knowledge and
driving best practiceswhile 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.
#LI-HEH
#LI-Hybrid
Qualifications :
- You bring 8 years of experience in backend and systems with a track record of owning large-scale or security-critical systems end-to-end.
- Youve designed and operated distributed cloud-based architectures that are secure scalable and reliable and youre comfortable working with AWS GCP or Azure.
- You have experience or a strong interest in identity authentication authorization and secrets management and youre excited to apply these principles to AI and agent frameworksthis will give you an edge.
- You thrive in ambiguity make high-impact technical decisions and guide others through complex tradeoffs with confidence.
- You communicate clearly and effectively influencing decisions aligning teams and mentoring engineers across multiple functions.
- Youre passionate about sharing knowledge raising the technical bar and multiplying the impact of your peers and the team.
- You are self-driven proactive and organized with a strong focus on delivering high-quality secure and scalable solutions that make a real difference.
Additional Information :
We are proud to foster a diverse and inclusive workplace where every individuals unique background perspective and contribution is celebrated. We believe that by embracing diversity we drive innovation and create a stronger more united team. Inclusion is at the heart of who we are and how we succeed. All qualified applicants will receive consideration for employment without regard to race colour age religion sex sexual orientation gender identity or disability. Upon conditional offer of employment candidates are required to complete a comprehensive background check as per our internal policy.
CyberArk is an equal opportunities employer. If you would like any special arrangements made for your interview please inform the EMEA Talent Acquisition team upon your application so that we may take steps to accommodate your needs.
Remote Work :
No
Employment Type :
Full-time
Were building foundational infrastructure to secure AI agentsincluding 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 them...
Were building foundational infrastructure to secure AI agentsincluding 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 leadershipwriting critical code mentoring engineers sharing knowledge and
driving best practiceswhile 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.
#LI-HEH
#LI-Hybrid
Qualifications :
- You bring 8 years of experience in backend and systems with a track record of owning large-scale or security-critical systems end-to-end.
- Youve designed and operated distributed cloud-based architectures that are secure scalable and reliable and youre comfortable working with AWS GCP or Azure.
- You have experience or a strong interest in identity authentication authorization and secrets management and youre excited to apply these principles to AI and agent frameworksthis will give you an edge.
- You thrive in ambiguity make high-impact technical decisions and guide others through complex tradeoffs with confidence.
- You communicate clearly and effectively influencing decisions aligning teams and mentoring engineers across multiple functions.
- Youre passionate about sharing knowledge raising the technical bar and multiplying the impact of your peers and the team.
- You are self-driven proactive and organized with a strong focus on delivering high-quality secure and scalable solutions that make a real difference.
Additional Information :
We are proud to foster a diverse and inclusive workplace where every individuals unique background perspective and contribution is celebrated. We believe that by embracing diversity we drive innovation and create a stronger more united team. Inclusion is at the heart of who we are and how we succeed. All qualified applicants will receive consideration for employment without regard to race colour age religion sex sexual orientation gender identity or disability. Upon conditional offer of employment candidates are required to complete a comprehensive background check as per our internal policy.
CyberArk is an equal opportunities employer. If you would like any special arrangements made for your interview please inform the EMEA Talent Acquisition team upon your application so that we may take steps to accommodate your needs.
Remote Work :
No
Employment Type :
Full-time
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