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As a Senior Principal DevOps Engineer, you will serve as a visionary technical leader within the Cortex Cloud DevOps group. You will define the technical strategy and architecture that ensures our massive-scale production services remain highly reliable, exceptionally secure, and performant. You will pioneer the integration of AI-driven capabilities into our daily operations, establishing elite engineering standards and fundamentally transforming the workflows of hundreds of developers through autonomous agents and intelligent procedures.
Your Career
Architectural Vision & Scalability: Design and scale massive, resilient distributed systems and global Kubernetes infrastructure, implementing robust observability and monitoring frameworks.
AI-Driven Transformation: Revolutionize the SDLC by integrating Generative AI, autonomous agents, and LLM-powered workflows into CI/CD and self-healing systems to accelerate developer velocity.
Technical Leadership & IaC: Define architectural standards, lead GitOps/IaC (FluxCD/Terraform) strategies, and mentor Senior/Staff engineers across the R&D organization.
Developer Experience & Efficiency: Build and champion AI-powered platforms that automate troubleshooting and eliminate friction. Partner directly with Engineering Directors, Principal Architects, and Product Management to align infrastructure initiatives with business goals, optimizing for scale, high availability, and multi-million-dollar cost-efficiencies.
Security & Compliance: Embed "Security by Design" principles into the platform architecture to ensure platform integrity without sacrificing delivery speed.

We are seeking a Senior Principal Software Architect to define and drive the long-term architectural vision for our Identity Platform. In this role, you will lead the design and evolution of our next-generation Identity services, ensuring they meet the highest standards of scalability, security, resiliency, and operational excellence. As one of the organization's senior technical leaders, you will shape architecture across multiple product areas, influence strategic technology decisions, and partner with Engineering, Product Management, Security, and Architecture leadership to build a world-class Identity platform. You will establish architectural standards, mentor engineering teams and architects, and drive modernization initiatives that accelerate innovation while reducing technical debt.
Key Responsibilities
Define and evolve the long-term architecture and technology strategy for the Identity Platform.
Lead the design of large-scale, cloud-native SaaS systems that meet demanding scalability, security, availability, and performance requirements.
Establish architectural principles, design standards, and engineering best practices across multiple teams and organizations.
Partner with Product Management, Engineering, Security, and fellow architects to translate business and cybersecurity requirements into scalable technical solutions.
Drive modernization initiatives, simplify complex systems, and strategically reduce technical debt.
Lead architecture reviews, identify technical risks, and guide teams toward successful implementation.
Mentor architects and senior engineers, fostering technical excellence and growing future technical leaders.
Represent the Identity organization in architecture forums and contribute to the broader engineering strategy across Palo Alto Networks.

We are looking for a Senior Software Engineer who is passionate about AI and automation to help scale our content ecosystem. In this role, your focus will be leveraging AI to accelerate the delivery, quality, and quantity of our security integrations and content infrastructure. You will design and develop intelligent tools and workflows that enable engineering peers and Technical Program Managers (TPMs) to scale their output, collaborating with them as they test, adopt, and integrate these solutions into our development lifecycle.
Your Impact:
Scale Content Delivery: Design and implement AI-driven systems that empower the team to significantly increase both the quantity and the rigorous quality of our security integrations.
Develop Cross-Functional Tooling: Build internal developer tools and agentic workflows that enable other engineers and TPMs to streamline content creation, validation, and management.
Optimize Workflows: Create reliable CI/CD pipelines incorporating AI agents to automate code generation and testing processes.
Support Team Adoption: Collaborate with engineering peers and cross-functional partners as they test and integrate your tools into their daily workflows, using their feedback to drive continuous improvements.
Contribute to AI Integration: Help lead the practical integration of LLMs and automation frameworks into our day-to-day engineering processes.

We are looking for an experienced and strategic Group Manager to lead our Directory Services group within the Identity organization. In this key leadership position, you will manage and inspire engineering teams spread across multiple geographies, driving one of the foundational, mission-critical services of our Identity platform. Directory Services sits at the heart of our security and identity ecosystem, serving as the high-scale foundation for user authentication, enterprise directory integration, and data sync across enterprise environments. As a manager of managers, you will be responsible for defining the technical and operational vision, scaling high-availability distributed systems, nurturing talent across global offices, and ensuring our identity infrastructure meets the rigorous security and reliability demands of enterprise customers worldwide.
Key Responsibilities
Multi-Geo People & Organizational Leadership: Lead, mentor, and grow team managers and senior technical leaders across global geographies. Scale the group through strategic recruitment, team structuring, and proactive talent development.
Service Vision & Strategy: Own the vision, engineering execution, and strategic roadmap for Directory Services-one of Identitys key foundational pillars.
Scale, Reliability & Security: Ensure ultra-high availability, low-latency performance, seamless scalability and robust security standards.
Cross-Organizational Collaboration: Partner closely with Product Management, Security Architects and multiple R&D units.
Rapid & Critical Incident Response: Lead cross-regional response to high-priority operational or security events related to directory environments, driving rapid resolution and long-term systemic mitigations.
Thought Leadership in IAM: Stay at the forefront of modern Identity & Access Management (IAM) practices and enterprise directory protocols.

This role is ideal for experienced backend engineers (ideally with strong Python skills) looking to transition into program leadership.You must thrive in a fast-paced environment and bring a proven track record of designing, building, and operating AI agents or agentic workflows.
We are at a pivotal point in our journey, transforming how we deliver product integrations-the core of our platform-by shifting from manual engineering to AI-first workflows powered by agents and agentic pipelines.
As a Senior Technical Program Manager, you will lead this transformation. You will collaborate closely with Customers, Partners, Product, and Engineering to scope and design integrations with IT and security tools. Simultaneously, you will redefine the entire integration lifecycle-using AI to automate how customer requests are analyzed, connector designs are created, and software is delivered from early access through full launch.
Your Impact
Lead AI Workflow Transformation: Drive the evolution of key business and engineering workflows from manual execution to AI-first, agent-driven processes.
Design & Scale Agentic Pipelines: Build, deploy, and continuously optimize multi-agent workflows that automate the lifecycle of integration requests-from intake and API requirement analysis to automated design generation, code reviews, and validation.
Drive Technical Integration Scoping: Work closely with Customers, External Partners, Business Development, Product, and Security Architects to scope use cases and create technical design requirements for third-party IT and security integrations.
Enhance Engineering Productivity: Improve developer throughput and software quality by integrating AI-powered tools (e.g., GitHub Copilot, OpenAI APIs) and agentic knowledge systems into the daily engineering lifecycle.
End-to-End Program Ownership: Support cross-functional teams throughout the full software development lifecycle of integrations, establishing scalable operational engineering processes to transition projects seamlessly from early access through full launch.
Cross-Functional Alignment: Partner with cross-functional peers to align solutions, resolve conflicts, clear operational bottlenecks, and drive complex technical issues to resolution.

A Technical Account Manager is a trusted advisor and cloud operations architect for our Enterprise Support customers. As a trusted advisor youll have a direct impact in helping our customers gain the most value from cloud technology. Youll craft and execute strategies to drive our customers adoption and use of AWS services. This includes a range of products including EC2, S3, DynamoDB & RDS databases, Lambda, CloudFront CDN, IoT and many more.
Our Technical Account Managers partner with some of the most iconic businesses in the country. These range from rising startups building their business from scratch through to large enterprises going through significant transformation. Youll provide advice on architecture, support strategy, project and launch planning as well as ongoing operational issues.

Key job responsibilities
* Youll advise on solutions, provide technical guidance and advocate for the customer.
* Ensure AWS environments remain operationally healthy whilst reducing cost and complexity.
* Develop trusting relationships with customers, understanding their business needs and technical challenges.
* Using your technical acumen and customer obsession, youll drive technical discussions regarding incidents, trade-offs, and risk management.
* Consult with a range of partners from developers through to C-suite executives.
* Collaborate with AWS Solutions Architects, Business Developers, Professional Services Consultants, and Sales Account Managers.
* With a bias for action, you'll proactively find opportunities for customers to gain additional value from us.
* Provide detailed reviews of service events, monthly & quarterly metrics, detailed pre-launch planning.
* Solve a variety of problems across different customers as they migrate their workloads to the cloud.
* Uplift customer capabilities by running workshops, brown bag sessions, etc.

As a Senior Technical Product Engineer, you will be a key bridge between the product and the field, ensuring our product meets customer needs and that customers maximize its value. You will act as the product expert for customers and field agents, managing technical engagements from pre-sales to post-sales. Your role involves designing integrations and translating customer requirements into scalable product capabilities, ultimately shaping the future of our offerings.
Key Responsibilities
Collaborate with Sales, Product Management, partners, and customers to drive innovation and ensure secure, scalable adoption of AES solution.
Lead complex, cross-functional projects that shape the product roadmap and align with field-driven priorities.
Design and oversee customer POVs, deployments and integrations (APIs, workflows, security controls) and identify new integration opportunities.
Provide actionable feedback to Product Managers to influence development in areas such as cloud posture, workload protection, and identity management.
Design and deliver automation content, playbooks, and lead enablement initiatives across partners, sellers, and customer facustomer-facingcing roles.
Advocate for best practices in securing modern application architectures using automation, contextual risk insights, and risk driven policies.

Required Principal Data Engineer (Cortex)
Job Summary
As a Principal Data Engineer, you will be integral to the security research group, designing, building, and maintaining the data pipelines and data frameworks that are the backbone of our cyber attack detection capabilities. You will work closely with top security and AI researchers, enabling their work and seeing the direct impact of your contributions on our services and the day-to-day effectiveness of the research team.
Key Responsibilities:
Lead the design and implementation of end-to-end, complex data pipelines and data platforms in cloud environment.
Collect, analyze, and translate complex data requirements from various stakeholders including data analysts, developers, and Cyber security researchers.
Develop robust, scalable Cloud based data solutions using Python and distributed processing frameworks such as Apache Beam (Dataflow) , GKE , Spark , etc.
Utilize AI as part of the development cycle, including generating, reviewing, and testing code via prompts.
Model and manage data within cloud MPP databases and data lakes such as BigQuery, Redshift, or Snowflake.

We are looking for a Senior Security Researcher to join our Identity Threat Detection and Response team. In this role, you will research the evolving threat landscape and develop advanced detections to protect SAAS, Cloud, on-premises, and hybrid identities. You will focus on identifying and mitigating identity-related threats across networks, endpoints, and cloud environments, using statistical classification methods to build effective detection models and protecting customers at scale. Additionally, you will collaborate with cross-functional teams, validate detection concepts on real-world data, and continuously enhance detection capabilities to stay ahead of emerging threats.
Key Responsibilities
Research innovative methods for detecting targeted attackers operating in endpoints, networks, cloud and SAAS environments.
Simulate real-world attacks in lab environments and conduct a deep analysis of the behavior.
Develop and refine statistics-based classification algorithms and techniques to create and improve detection models.
Research specific scenarios to enhance our model's capabilities.
Collaborate within a diverse research group, improving our research processes and leading us to be a better team creating a better product.
Stay informed on the latest APTs, attacker methodologies, and TTPs to ensure our models stay ahead of emerging threats.

As an innovator at heart, you will lead the Email Security Research team and shape the future of AI-driven email protection. You will define the technical vision, drive the research roadmap, and lead a team developing advanced detection capabilities. Working closely with Engineering, Product, Threat Intelligence, and AI teams, you will build cutting-edge security solutions that protect customers against evolving email threats while fostering innovation and technical excellence.
Key Responsibilities
Lead, mentor, and grow a team of Email Security researchers and analysts.
Define and execute the Email Security research, detection, and analytics roadmap.
Drive innovation in AI and LLM-powered email security.
Lead the design of advanced detections for phishing, Business Email Compromise (BEC), malware, account takeover, and emerging email threats.
Improve detection efficacy through behavioral analytics, threat research, and large-scale data analysis.
Collaborate with Engineering, Product, Threat Intelligence, and cross-functional teams to deliver scalable security capabilities.
Promote technical excellence through design reviews, coaching, and knowledge sharing.
Represent the team internally and externally through technical presentations, blogs, white papers, and industry conferences.
Foster a culture of innovation, collaboration, and continuous learning.

The Enterprise Browser Platform, developed by Talon Cyber Security, plays a critical role in today's digital landscape by enabling secure and efficient remote work. Its capability to protect unmanaged devices lets users work from anywhere confidently, meeting the growing need for flexibility and security in the modern workplace.
As a DevOps Engineer within the Enterprise Browser Platform Group, a division born from the acquisition of Talon Cyber Security, you will contribute significantly to a cutting-edge environment. Your expertise will be pivotal in developing and operating our modern technology stack, which includes:
AWS & GCP as cloud providers
Terraform & Terragrunt for Infrastructure as Code
Microservices architecture over Kubernetes
ArgoCD and GitOps practices
Datadog as the observability platform
You will ensure the continuous delivery, quality, performance, and reliability of our enterprise browser platform.
Your Impact
Implement and optimize CI/CD pipelines and cloud infrastructure using our technology stack, ensuring efficient and reliable deployment to production.
Participate in the deployment of monitoring and alerting systems to maintain high system performance and reliability.
Collaborate with software development and other cross-functional teams to streamline and enhance processes, aiming for efficiency and alignment with business goals.
Contribute to the management of the cloud infrastructure, utilizing Infrastructure as Code principles.

We are looking for an energetic, detail-oriented individual to join our Data Center Engineering Operations Team. This committed group works to maintain the critical physical infrastructure that supports Amazon Web Services. Specifically, this team works to ensure that the data center's MEP operates at 100% availability while maintaining first-class customer service to the teams and groups within the data centers.
The Data Center Engineering Operations Facility Engineer is responsible for operating and maintaining all electrical, mechanical, and fire/life safety equipment within the data center. This person serves as a technical resource to support Amazon within its owned and operated data centers. Data center equipment that supports mission-critical servers must maintain better than 99.999% uptime. DCEO Facility Engineers are also tasked with driving innovation while reducing operational costs in the facilities.

DCEO Facility Engineers are Amazons front line responders for hands-on electrical and mechanical equipment troubleshooting and operation. This equipment includes, but is not limited to, stand-by diesel generators, switchgear, UPSs, PDUs, AHUs, chillers, cooling towers, chemical treatment systems, pumps, motors, VFDs, and building automation systems.


Key job responsibilities
- Operate and maintain mechanical and electrical equipment.
- Perform root cause analysis of equipment failures.
- Troubleshooting of facility and rack-level events within internal SLA.
- Ensure all safety procedures are adhered to while performing work.
- Able to work shifts (rotating work days during the weeks).
- Take daily operational readings of all mechanical and electrical equipment.
- Utilize internal CMMS to manage building workflows.

Required Senior Product Manager (XSIAM SIEM)
Job Summary
As a Senior Product Manager for the XSIAM SIEM team, you will play a critical role in leading a major domain within the Cortex ecosystem. We are seeking a candidate with a leader mindset, someone prepared to take total ownership and responsibility for a critical product area that directly contributes to the global success of XSIAM. In an environment of fierce competition, you will be expected to drive our product strategy by deeply understanding how to deliver superior value within the broader XSIAM platformization vision.
Key Responsibilities
Total Domain Ownership: Lead the end-to-end product lifecycle for a major SIEM pillar. You are responsible for the strategic vision, sequencing scope, and removing blockers to ensure predictable, high-quality delivery.
Platformization & Competitive Value: Drive the shift from siloed legacy tools to a converged security platform. Utilize a Human+AI approach to research competitor strategies, identifying unique value drivers that ensure XSIAM remains the definitive choice for modern SOCs.
Customer & Stakeholder Engagement: Act as a primary liaison to our most significant global customers. You will meet regularly with security leaders and key stakeholders to understand complex operational challenges and translate them into high-impact product innovations.
​​Cross-Functional Collaboration: Serve as the central bridge between peer product teams, engineering, sales, and domain consultants. You will equip global field teams with crisp value narratives to uplift win rates, accelerate market adoption and global go-to-market initiatives.
Advanced AI Roadmap: Own a forward-looking roadmap that integrates agentic AI into the SIEM workflow, ensuring our customers to automate threat detection and response at an unprecedented scale.

Required Senior Principal Data Scientist - LLM Agents (Cortex)
Job Summary:
Are you passionate about harnessing cutting-edge data science techniques to protect the world from cyber threats? Do you thrive in the dynamic world of cybersecurity? If so, we invite you to join our innovative and forward-thinking team, where you'll have the opportunity to shape the future of cybersecurity and impact millions of customers.
As a Senior Principal Data Scientist, you will be a technical leader and hands-on architect, bridging the worlds of advanced data science, robust software engineering, and next-generation AI. You will bring a deep, diverse background in classical machine learning algorithms alongside cutting-edge LLM agent architectures to build resilient, production-grade defense techniques against cyber-villains. Operating as a premier technical authority, you will drive the vision, design, and large-scale development of our groundbreaking, Agentix LLM-based security solutions that block attacks even before they begin.
Key Responsibilities:
Serve as a hands-on technical compass for a diverse, elite product-oriented research team, pioneering state-of-the-art technologies and setting the engineering standards for AI/ML excellence across the organization.
Design, implement, and optimize robust Agentic LLM solutions and multi-agent workflows engineered to autonomously counter modern, sophisticated cyber threats.
Oversee and actively contribute to the entire end-to-end lifecycle, moving seamlessly from ambiguous research concepts and POCs to high-throughput, low-latency production deployments.
Build and enforce comprehensive frameworks for continuous real-time monitoring, evaluation, and guardrails to track model drift, latency, and agent behavior in production environments.
Decompose highly complex, multi-layered algorithmic problems into actionable technical roadmaps and strategic insights for both deeply technical engineers and executive business stakeholders

We're hiring a Senior/Principal Site Reliability Engineer to own production reliability for Cortex Agentix Endpoint Security (following an acquisition of KOI Start Up) as it scales. You'll define and operate our SLOs and error budgets, lead high-severity incident response, and ensure our Kubernetes and AWS infrastructure stays stable under growth. You'll also build and supervise the AI agents that handle routine alert triage and monitor tuning, focusing your own time on the reliability engineering that requires human judgment. This role is a strong fit for someone who treats reliability as an engineering discipline and enjoys ownership, incident command, and applying AI to operational work.
Your Impact:
Own reliability as an engineering discipline - define SLIs, set SLOs, and run error-budget-based decision-making so "how reliable are we" becomes a number that governs how fast we ship.
Own production incidents end-to-end - lead response, mitigation, and resolution for high-severity incidents, and drive blameless postmortems that feed real fixes back into the system.
Own the reliability and capacity of production infrastructure as we scale - forecasting headroom, validating scaling behavior under load, and keeping latency and error rates within SLO.
Run and evolve Kubernetes environments so releases and infra changes are safe by default across hundreds of tenant apps.
Own, build, and supervise our SRE AI agents that triage alerts, review monitors, resolves and summarize incidents. Set and expand the trust ladder that governs what the agents do autonomously, what needs approval, and what stays human. This is a core part of the role.