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We are looking for a seasoned SW Engineering Manager to join the Idira R&D platform organization. In this role, you will lead the team responsible for the Idira SaaS micro-frontend (MFE) platform and the critical services that handle API access to Idira services.
You will manage a high-performing team of engineers, combining hands-on technical leadership with strong execution. Your team owns services that are crucial to any customer interaction with Idira services whether it is UI or API access.
Key Responsibilities:
Lead and Mentor: Grow a high-performing team of engineers; foster a collaborative environment and support professional development through mentoring and technical guidance.
Own Platform Execution: Drive the development of new features and capabilities that will allow PANW customers to have secure access to our continuously growing portfolio of Cyber Identity solutions.
Drive AI adoption: We started our journey to become an AI first engineering organization. As a leader you will help your team continue this journey.
Engineering Excellence: Maintain a high bar for quality, performance, and scalability. Oversee end-to-end delivery from design and implementation to production monitoring and support.
Stakeholder Management: Communicate progress, risks, and capability roadmaps clearly to management and partner teams. Maintain the capability matrix for Idira integrations.

Required Engineering Software Manager (Cortex Cloud)
Job Summary:
As an Engineering Manager at Cortex Cloud, you will lead a team of ~6 engineers operating in one of our most complex and cross-functional domains. This role requires a strong blend of people leadership and deep technical expertise, including systems design and large-scale distributed cloud architectures. You will be responsible for driving the design and delivery of complex, high-impact systems, while ensuring the team executes against the roadmap with both speed and engineering rigor.
Key Responsibilities:
Build, mentor, and lead a high-performing software engineering team, fostering a culture of empowerment and driving both individual growth and collective impact.
Partner closely with Product Management and cross-functional teams (Infrastructure, Research, UX) to define priorities and shape multi-quarter product roadmaps, ensuring alignment across all stakeholders.
Own the end-to-end software development lifecycle, translating product strategy into executable plans and ensuring consistent, high-quality, on-time delivery.
Provide architectural leadership for scalable, distributed systems operating at petabyte scale, guiding the design and implementation of high-throughput, cloud-native backend microservices.
Drive production readiness by enforcing best practices around deployment, observability, reliability, and runtime stability, focusing on the details to ensure operational excellence.
Align stakeholders across business units through clear communication of technical strategy, trade-offs, priorities, risks, and execution plans.
Engage directly with strategic customers to lead technical deep dives and architecture reviews, and to influence future product direction.
Foster a culture of high engineering standards, accountability, and continuous improvement, with a strong emphasis on quality and security.

Required Sr. Principal AI Researcher, AI Transformation
Job Summary
Shape the future of AI-powered software engineering. As part of our AI Transformation group, youll join a multidisciplinary group building state-of-the-art, agentic AI systems that directly elevate the productivity of thousands of internal engineers.
We build internal AI infrastructure, frameworks, agents, harnesses, methodologies, and adoption programs powered by cutting-edge LLMs. Whether you are researching novel AI paradigms, architecting platform infrastructure, engineering end-to-end agentic tools, or driving developer enablement, your work will redefine how software gets built at scale.
This is an applied AI research role, where you will be inventing new technology, bringing the latest innovations into our agentic software development practices, and responsible for co-building systems that get deployed to our entire, global Cortex engineering organization.
Key Responsibilities:
Stay at the forefront of AI advancements in agentic coding and integrate state-of-the-art techniques.
Build functional Proof of Concepts (PoCs) and architectural skeletons to evaluate new AI techniques before scaling.
Critically audit and challenge internal AI solutions, benchmarks, and architectures to prevent technological obsolescence.
Design rigorous testing methodologies to assess model accuracy, latency, cost efficiency, and drift across solutions.
Research and design advanced knowledge-retrieval architectures, including standard and graph-based RAG and hybrid contextual search.
Collaborate with core AI engineering to transition validated prototypes into reusable components for our engineering workforce.
Coordinate closely with the US Foundational AI Research team via flexible evening Israel / morning US meetings.

we are looking for a AI Researcher.
As an AI researcher, you'll be at the forefront of researching advanced frontier model capabilities and agent behavior, and help shape the future of AI security evaluation and mitigation. In this role, you will advance the frontier knowledge of AI and agentic frameworks, methods of assessing their ability, and mitigations for dangerous capabilities.
Representative projects:
Researching capability elicitation methods to enhance model performance in evaluations.
Researching methodologies to assess generalization and coverage in model capabilities evaluation frameworks.
Contributing to academic publications and delivering research findings to customers.
Creating unique solutions to mitigate scenarios of AI loss of control or misalignment.
Advising and supporting the development of the products were building.

we are looking for a Cyber Researcher.
As a cyber researcher , you will be at the forefront of research on AI security. You will engage with questions such as how to protect the weights of an advanced model against cyber threats, and how to evaluate cyber capabilities such as AIs ability to exploit vulnerabilities, carry out network attacks, and develop malware. This role sits at a unique intersection of cybersecurity expertise and AI capabilities, where your background in vulnerability and security research will help shape the future of AI security.
Representative projects:
Expanding the quantity, quality, and variety of our cyber capabilities evaluation challenges (e.g. constructing original CTF-style vulnerability & exploitation challenges, network attack simulation challenges, and more, including original types of challenges).
Leading research into methods to mitigate cybersecurity risks related to the misuse of AI, the theft of model weights, or risks associated with integrating models with dangerous capabilities in AI agents.
Publishing your research and/or delivering research to our customers.
Advising and supporting the development of the products were building.

we are looking for a Research Engineer
As a research engineer , you'll be at the forefront of building systems to evaluate and secure frontier AI models. You'll work on infrastructure and experiments to assess model capabilities, implement agent frameworks, and develop mitigations for advanced AI systems. Your role will involve creating robust evaluation pipelines, developing security-focused testing frameworks, and building tools that help understand and mitigate risks related to frontier models. Youll have a chance to understand the research context and your codes impact and contribute as a meaningful part of a growing team.
Representative projects:
Building a tool to continuously evaluate models and mitigate their risks. From designing the APIs for frontier labs, to building analysis and visualization tools that summarize 10,000+ transcripts into specific conclusions.
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.
Developing controlled environment frameworks for more secure use of frontier models.
Designing and building agents that improve a models ability to complete complex tasks. Includes many potential avenues, such as incorporating SOTA prompting practices, creating tools for task delegation, and more.
Publishing your research and/or delivering research to our customers.

we are looking for a Senior Software Engineer.
As a Software Engineer , you will take ownership of designing, building, and scaling the production systems that power our evaluation and security platform for frontier AI models.
Your work will focus on creating robust, resilient, and high-performance infrastructure-whether thats distributed pipelines, backend services, or tooling that supports our research teams.
This role is engineering-first with a strong research and cyber component. You will develop systems that must run reliably in production, integrate with external partners, and support large-scale data, experiments, and automated evaluations. Youll drive architectural decisions, lead technical implementations, and shape how our platform evolves.
Representative Responsibilities:
Architecting and scaling production-grade systems and workflows.
Building backend services, APIs, and monitoring tools for large-scale model evaluations.
Designing infrastructure that supports research experiments at scale.
Implementing agent frameworks in production environments
Designing and building challenges that measure a models ability to evade discovery, allowing us to see if models can operate on remote systems while avoiding detection by common defensive security tools.

we are looking for a Senior Full-Stack Engineer.
As a Senior FullStack Engineer, youll join our engineering team and help build the next generation of products as they evolve into intuitive, polished, and powerful experiences for some of the most sophisticated AI organizations in the world.
This is a highly impactful role for an engineer with strong frontend expertise who cares deeply about product quality and user experience, and can both build scalable systems and help lead the technical direction of the frontend. Youll work closely with exceptional engineers, researchers, and founders to turn deeply technical capabilities into user-facing products that are clear, elegant, and highly effective.
Representative Responsibilities:
Build and own full-stack product features end-to-end
Help shape the next generation of the companys products
Lead the technical direction of the frontend architecture, development standards, and engineering culture
Build polished, high-quality user experiences for highly technical users
Collaborate closely with engineers, founders, and product stakeholders on product and technical decisions
Take ownership of projects from idea to production with high autonomy and impact

We are a fast-growing company operating in a dynamic, innovative, AI-first environment. Our Product team is building the next generation of financial products, and were looking for an exceptional Product Designer to join us on this journey.



What will you do:
Lead end-to-end design processes for complex products and features, from research and discovery through design, prototyping, and implementation.
Design intuitive and polished user experiences while contributing to the evolution of our Design System.
Collaborate closely with Product Managers, Developers, and other stakeholders throughout the product lifecycle.
Leverage AI tools and Claude Code as part of your daily workflow for research, problem exploration, rapid prototyping, and accelerating product development.

Were looking for a senior engineer who is ready to move beyond traditional software development and take full ownership of product delivery.

This is not a classic backend engineering role. You will work directly with Product to turn ideas and requirements into production-ready solutions, make the technical decisions, and use AI coding agents as a core part of your engineering workflow.

You will own the outcome, not just the code. AI-generated code is your code, and you are accountable for its quality, security, performance, and maintainability.


Own product features end-to-end, from requirements through production and monitoring.
Work with Product to translate business problems into clear technical solutions and execution plans.
Design scalable and maintainable solutions, including architecture, APIs, data models, and integrations.
Use AI coding agents to accelerate implementation, testing, debugging, and automation.
Review and improve AI-generated code, ensuring high standards for correctness, security, performance, and maintainability.
Make independent technical decisions and communicate architectural trade-offs clearly.
Contribute across backend, frontend, QA, CI/CD, and infrastructure when needed to deliver a feature.
Investigate and solve complex production and performance issues.
Continuously improve how we build, test, and ship software using AI-native development practices.

we are looking for a Senior DevOps Engineer.
As Senior DevOps Engineer, you will play a critical role in shaping our infrastructure, deployment pipelines, and operational foundations. This is a hands-on, high-ownership role with real influence over how the company builds, deploys, and operates its systems in production.
Youll be building infrastructure that supports work with frontier AI labs such as Google, Anthropic, and OpenAI, and meets the scale, security, and reliability standards this ecosystem requires. This includes architecting ephemeral, on-demand environments, and spinning up and tearing down multi-service deployments (VPCs, compute, serverless components, and more) as needed.
You will work closely with research, engineering, security, and leadership to design and maintain scalable infrastructure, improve system reliability, and enable fast, safe, and secure product delivery.
Key Responsibilities:
Own and evolve cloud infrastructure, with a strong focus on scalability, security, and reliability
Design, build, and maintain end-to-end CI/CD pipelines and deployment workflows
Lead and continuously improve containerized environments (Docker, Kubernetes)
Build and maintain Infrastructure as Code and automation frameworks (e.g., Terraform)
Own production readiness: availability, monitoring, logging, alerting, and incident response
Work closely with engineering and research teams to support development, testing, and production needs
Drive improvements in system performance, reliability, and security posture
Take part in - and often lead architectural decisions and long-term infrastructure planning
Act as a key operational owner in a fast-growing startup, setting best practices and standards

Were looking for a Senior SecOps Engineer to own and evolve the security infrastructure, tooling, and controls that protect engineering environment.
This is a hands-on security engineering role focused on building, implementing, and operating the systems that enable our engineering teams to work securely at scale. Youll work closely with our Infrastructure Engineers and the broader Engineering team to embed security into our infrastructure and development environment without slowing teams down.
Youll take ownership of security tooling and posture management across our environment - from evaluating and deploying new security technologies to continuously improving how we identify, prioritize, and remediate security risks.
Were looking for someone with a strong background in Security Operations, Infrastructure Security, or Security Engineering who has operated and secured modern engineering environments.
Representative Responsibilities:
Own, operate, and continuously improve security infrastructure, tooling, and controls across cloud infrastructure, engineering systems, identity, and endpoints.
Evaluate, implement, and integrate security technologies across our engineering environment.
Own security posture and vulnerability management, including identifying, prioritizing, tracking, and driving remediation of security risks.
Partner closely with Infrastructure and Engineering teams to identify security gaps and implement practical, scalable solutins.
Integrate security tooling into engineering workflows, including vulnerability and dependency scanning tools
Build and improve security monitoring, detection, alerting, and incident response capabilities.
Automate security operations and controls to improve coverage, consistency, and efficiency.

we are looking for a Technical Policy Researcher.
As a Technical Policy researcher at Irregular, you'll tackle some of the biggest and most complex questions of AI development and deployment. Your work outlining problems, solutions and principles for governments, frontier labs, and deployers will shape the emerging field of AI security.
Representative projects:
Threat modeling and fleshing out in what specific way could a strong cyber-capable model cause harm.
Taxonomies for dangerous AI capabilities or mitigations.
Policy proposals for models' refusal policy (which prompts models should refuse to follow).
Following up on publications and news on AI policy, AI risks and mitigations, and technical AI research.
Writing academic papers and blog posts detailing our research around evaluation theory or mitigation recommendations.
Publishing your research and/or delivering research to our customers.

We are looking for an experienced and hands-on DevOps Team Lead to bridge the gap between individual engineering execution and strategic leadership. Reporting directly to the DevOps Director, you will guide a team of DevOps Engineers, drive technical excellence, and ensure the smooth delivery of infrastructure, automation, and CI/CD capabilities across the organization. This role combines technical depth with people leadership - you are equally comfortable reviewing a Terraform plan and running a team retrospective.

Responsibilities

Team Leadership & Management
Lead, mentor, and support a team of DevOps Engineers, fostering a culture of ownership, collaboration, and continuous improvement.
Conduct regular 1:1s, provide constructive feedback, and support the professional growth of team members.
Coordinate workload distribution, sprint planning, and prioritization across the team in alignment with organizational goals.
Act as the primary point of escalation for technical challenges within the team.
Work closely with the DevOps Director to translate the DevOps roadmap into actionable team-level objectives.

Technical Execution
Design, implement, and maintain CI/CD pipelines using GitHub Actions and ArgoCD.
Manage and evolve cloud infrastructure across AWS, Azure, and/or GCP using Terraform, Helm, and Kubernetes.
Lead automation initiatives to improve deployment reliability, system scalability, and developer productivity.
Ensure robust observability through Prometheus, Grafana, and ELK, and participate in incident management and on-call rotations as needed.
Champion infrastructure security best practices, including secrets management (Vault) and container security.
Collaborate with R&D, QA, and Product teams to streamline release processes and resolve deployment bottlenecks.

Process & Governance
Define and enforce DevOps best practices, coding standards, and documentation guidelines across the team.
Drive post-incident reviews and implement learnings to prevent recurrence.
Monitor infrastructure costs and propose optimization strategies to the DevOps Director.
Maintain and improve technical documentation, runbooks, and operational playbooks.