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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.

we are 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 our companys 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.

As a Data Science Manager, you will lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions. You will own the end-to-end development lifecycle of AI projects, from exploratory research and experimentation through to scalable deployment and optimization. In this role, you will partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery. You will also drive innovation across a broad spectrum of ML domains, including supervised/unsupervised learning, anomaly detection, and generative AI, while providing hands-on guidance and championing best practices in MLOps, data governance, and model evaluation.
Key Responsibilities
Lead, mentor, and grow a team of applied data scientists working on machine learning models that power AI-driven cybersecurity solutions.
Own the end-to-end development lifecycle of AI projects - from exploratory research and experimentation through scalable deployment and optimization.
Partner with engineering and product leadership to define technical strategies, prioritize initiatives, and ensure successful model delivery.
Drive innovation across a broad spectrum of ML domains including supervised/unsupervised learning, anomaly detection and generative AI.
Provide hands-on guidance in model development using tools such as scikit-learn, PyTorch, TensorFlow, and Hugging Face.
Ensure high-quality execution through strong code review practices, reproducibility, and model evaluation frameworks.
Champion best practices in MLOps, data governance, explainability, and monitoring.
Keep pace with academic and industry advances and translate cutting-edge research into productized capabilities.

We are looking for a bright, talented Sr Staff DevOps Platform Engineer to join a team of highly energized and professional engineers working on mission-critical systems in the red-hot cybersecurity industry. Focused on development flow productivity, building application infrastructures and tools, with huge challenges related to hyper-growth of engineering and application scale.
As part of your role, you will design, implement and deploy products and infrastructures which will directly increase our stability and quality, while reducing our time to market. Design and develop solution-oriented enterprise DevOps Platforms and tools
Create solutions to increase R&D velocity, reduce lead time and improve overall product quality.
Plan, Design, and develop the company SAAS infrastructure, operation engine, and deployment strategy.
Develop and adopt new technologies aim at improving our overall CI/CD pipelines.
Platform and service troubleshooting across various applications, domains, and platforms
Introduce Security into both the CI and CD pipelines utilizing DevSecOps shift left approach.

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 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 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 company 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.

Be a key part in the Palo Alto Networks 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.

our company's Secrets Manager DevOps team consists of coders who enjoy a challenge and are responsible for planning, developing, and implementing our company 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 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 company 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 a highly seasoned Tech Lead with a deep SaaS background to bridge the gap between high-level architectural vision and hands-on technical execution. In this role, you will be a cornerstone of the Platform group, blending very senior development expertise with architectural leadership.

You will lead by example, spending a significant portion of your time in the code while simultaneously guiding the technical and architectural direction of the group. Reporting to the Platform Group Manager, you will collaborate with product managers and engineers to deliver robust capabilities consumed by internal teams and external customers.

What You'll Do

Hands-on Technical Leadership

Lead or co-drive the implementation of complex, cross-cutting platform features, maintaining a high standard for code quality and system performance.

Translate architectural goals into actionable technical roadmaps and lead teams through successful execution.

Balance daily feature delivery with long-term architectural health, ensuring that technical debt is managed effectively.

Provide deep-dive code reviews and technical mentorship, elevating the engineering craft across the domain.

Serve as the primary technical point of contact for the group, making critical decisions on implementation patterns and tool selection.

Architectural Execution

Collaborate with the other tech leads to ensure cross-group-level implementations align with our broader technical and architectural strategy.

Drive the adoption of modern distributed system patterns and cloud-native best practices through direct implementation and guidance.

Champion the use of AI tools to optimize development lifecycles while maintaining deep ownership of the system codebase.