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We are looking for a Security Lead to join our companys R&D organization, taking a central, cross-functional role in shaping the security posture of our products. This role combines deep hands-on expertise with cross-organizational leadership, working closely with senior leaders to shape and implement security strategy across all product lines. You will lead end-to-end security initiatives, influence engineering practices at scale, and play a critical role in ensuring our products meet the highest security standards.
Key Responsibilities
Lead security in the R&D organization by professionalism and cooperation across our company
Maintain and develop the Secure Development Life Cycle of all our companys Products Organization, work with R&D, QA, Sales, Support, external researchers, and customers to make the cyber landscape a safer place.
Conduct architectural security reviews and threat modeling for R&D
Full triage for our company's VDP and BBP reports, including analyzing reports, calculating severities and communications with reporters.
Define and develop security training to implement cross organization
Be a first responder in security incidents, including leading and defining actions to resolution
Manage and monitor our company's SCA, SAST, DAST tools.

Were growing and looking to hire a Senior Security Operations Engineer who embodies our core values: People First, Customer Obsession, Strive for Excellence, and Integrity.
Claroty is a global leader in cyber-physical systems (CPS) protection, dedicated to securing the critical infrastructure that keeps the world running. Were a fast-growing, award-winning team where innovation meets purpose-and we want you to help us define the future of cybersecurity.
About the Role:
In this role, you will be a key architect and operator of our modern security posture, focusing heavily on Cloud Access Security Broker (CASB/SSE) architecture, next-generation Endpoint Detection & Response (EDR), and securing the deployment and usage of Artificial Intelligence (AI) and Large Language Models (LLMs) across the enterprise.
As threats evolve, we are proactively embedding AI-driven defense mechanisms while managing the unique threat vectors introduced by enterprise AI adoption. If you thrive at the intersection of data protection, cloud edge security, and cutting-edge automation, this position offers an exceptional opportunity to impact our global defense strategy.

Lead the design, implementation, and management of security controls across three critical domains: Endpoint Security, Identity & Access Management, and AI Security, safeguarding Palo Alto Networks' global infrastructure with a Zero Trust approach.
Key Responsibilities
Design, build and implement enterprise security capabilities to protect Palo Alto Networks global infrastructure
Develop strategies to maintain security architecture, prevent unauthorized access, and ensure identity governance across the enterprise
Establish, maintain, and enforce hardened security baselines for Endpoints, Identity, and AI tools
Lead AI security governance, define controls, policies, and threat models for safe enterprise adoption of AI tools and models
Evaluate and secure AI-related data flows, including prompt injection risks, model access controls, and data exfiltration vectors
Implement and manage Identity Security, Endpoint security, and Access Management capabilities with a Zero Trust approach
Design and enforce endpoint hardening strategies across managed and unmanaged devices, endpoint DLP controls, drive mobile security and BYOD posture management
Be the first customer for Palo Alto Networks products and provide practitioner feedback to the product teams
Perform threat modeling and security architecture reviews for complex enterprise systems, infrastructure, and third-party integrations
Work with Security Operations team to investigate identity and endpoint breach incidents, identify root cause and provide appropriate remediation or risk reduction plans
Collaborate with legal and governance, risk and compliance (GRC) teams to ensure adherence to Identity and data protection regulations
Evaluate ongoing practices and procedures, technical documentation, and diagrams for appropriate security measure maturity and effectiveness
Lead hands-on POCs and technology evaluations with rigorous benchmarks; champion adoption with a collaborative team mindset
Be a strong thought leader and clearly communicate and build support for your ideas.

As a Senior Security Researcher for the Exposures team, you will conduct research into vulnerability detection, remediation, and prioritization to enhance our asset intelligence platform. You will lead end-to-end research projects, collaborating directly with Product and Development teams to convert technical research into product features. You will analyze large-scale security data, automate workflows, and prototype logic to address enterprise attack surfaces. This is a high-impact role where your research directly shapes how our customers identify and mitigate their most critical security gaps.

Responsibilities
Lead end-to-end security research projects focusing on vulnerability detection, risk prioritization, and exposure management logic.
Utilize Python, SQL, and AI/LLM tools to build data analysis pipelines, automate threat research, and prototype research tools.
Research and define remediation strategies, compensating controls, and configuration-based mitigations beyond standard patching.
Partner weekly with Product and Engineering teams to transform technical research into production-ready product capabilities.

We're looking for a Senior Security Engineer to own and elevate the security posture of our
cloud-native, AI-driven SaaS platform. Reporting to the Director of DevOps, you'll be the technical
anchor for security across our product, infrastructure, and organization - combining hands-on
engineering with the strategic judgment to translate risk into clear, actionable priorities.
This is a high-ownership role for someone who can operate end to end: threat modeling a new feature
in the morning, hardening cloud infrastructure in the afternoon, and briefing leadership on risk posture
by the end of the week. As we scale our platform and deepen our use of AI/ML, you'll define how we
build, ship, and operate securely - often standing up programs and controls that don't yet exist.
You'll work cross-functionally well beyond engineering, partnering with Customer Success, Marketing,
Finance, and Legal to make security a shared, business-aware practice rather than a gate at the end of
the line.

What You'll Do
Own the day-to-day security engineering function across cloud infrastructure, application, and data
layers.
Lead threat modeling, penetration testing, and vulnerability management across the product and
platform lifecycle.
Design, implement, and continuously improve cloud security controls across AWS, GCP, and/or
Azure environments.
Assess and secure our AI/ML systems, addressing the unique risks they introduce - from data
pipelines to model and LLM behavior.
Drive compliance readiness and audit support for frameworks such as SOC 2, ISO 27001, and
GDPR.
Embed security into the SDLC and CI/CD pipelines, partnering closely with DevOps and engineering
teams.
Translate technical risk into clear business and board-level language, and advise leadership on
prioritization and trade-offs.
Partner cross-functionally with non-engineering teams (Customer Success, Marketing, Finance,
Legal) to build security awareness and practical, low-friction controls.
Lead or support incident response, including detection, containment, remediation, and post-incident
review.

Required Cloud & AI Security Operations Engineer
So, whats the role all about?
The Cloud & AI Security Operations Engineer is a hands-on individual contributor responsible for securing our cloud, productivity, and AI ecosystem. Reporting to the Cloud Services & Infrastructure Manager, you will operate and improve security controls across Azure, Microsoft 365, Entra ID, Defender XDR, Microsoft Sentinel, and Microsoft Purview. You will also extend security coverage across our growing AI footprint-including Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry, and emerging agentic workflows-and contribute to security across a smaller AWS estate.
You will partner closely with InfoSec, Cloud Architecture, Privacy, and R&D IT to keep our cloud and AI adoption safe, governed, and scalable. This is primarily a cloud security operations role anchored in the Microsoft ecosystem, with a clear growth path into AI security as the discipline matures.
How will you make an impact?
Strengthen cloud security operations across our cloud estate, with primary focus on Azure infrastructure, including network, workload, storage, secrets, key management, and secure configuration controls.
Use Defender for Cloud to monitor CSPM findings, prioritize remediation, reduce cloud attack surface, and apply consistent security principles across Azure and the smaller AWS environment.
Operate and improve Entra ID security controls, including Conditional Access, PIM, OAuth app governance, service principal hygiene, and Microsoft Graph permission reviews.
Build and tune detections, alerts, and playbooks in Microsoft Sentinel and Defender XDR for cloud misconfiguration, identity attacks, data exfiltration, and endpoint-to-cloud attack paths.
Operate Microsoft Purview capabilities, including DLP, sensitivity labeling, and information protection, to keep sensitive data classified, protected, and auditable across Microsoft 365 and cloud workloads.
Support investigation and containment of cloud, identity, and data incidents, and contribute to post-incident hardening.
Extend security controls to Microsoft 365 Copilot, Copilot Studio, Azure OpenAI, Azure AI Foundry, internal LLM environments, and agentic workflows as AI adoption matures.
Help define practical guardrails for AI usage, including DLP coverage, access controls, monitoring, vendor/plugin review, and detection of misuse or sensitive-data leakage.
Contribute to secure-by-default reference architectures, approved patterns, and enablement sessions that support safe cloud and AI adoption across IT, business, and R&D.

we are looking for a Mid-Level, Security Engineer.
This role focuses on ensuring the security and compliance of cloud infrastructure by implementing and maintaining robust security controls across AWS environments. The position involves automation for security monitoring, adhering to best practices, and collaborating cross-functionally with other teams.
Who You Are:
A strong individual contributor who takes pride in delivering high-quality security outcomes while collaborating closely with peers and stakeholders. You are able to build trust, provide thoughtful input, and continuously grow your technical and operational expertise.
You are passionate about exploring new technology and using it to make an actionable impact to the future of fintech. You can balance the needs of the business and the team's goals with strong value for code quality and adherence to implementing best practices.
A highly skilled AWS Security Engineer with additional FinOps expertise to ensure the security and compliance of our cloud infrastructure. You are able to implement and maintain robust security controls across AWS environment. You are passionate about best practices, automation for security monitoring, and collaborating with other teams.

Were seeking a Senior Application Security Engineer who is first and foremost a teacher, advisor, and enabler for our development teams.
Rather than owning security alone, youll embed secure-by-design thinking across engineering by mentoring developers, guiding architecture decisions, and making secure development intuitive and frictionless.
Youll serve as the go-to partner for developers and engineering leaders, offering clear direction, practical solutions, and hands-on mentorship that strengthens our secure SDLC.
Who You Are:
A proactive self-starter with deep expertise in application and cloud security
Passionate about secure development and enabling engineers through thoughtful guardrails
Clear and confident communicator who can influence across technical and non-technical teams
Curious about emerging threats and excited by the challenges of blockchain security
Committed to excellence, with a strong sense of ownership and a drive to build secure systems that scale

Were looking for people who are relentlessly curious and committed to continuous learning. AI is reshaping every function across our business, and we enable every team member, regardless of role or level, to build fluency in AI tools and concepts. Those who thrive here actively seek out new solutions, experiment thoughtfully, and apply what they learn to drive better, faster, smarter outcomes.
As a Staff AI Detection Engineer, you will be tasked with end-to-end development of AI-powered detections using EDR data. A key part of the job is researching new attack vectors and effective detection methods. You will be responsible for developing, owning, and maintaining your created detections.

We are looking for a Security Engineer to join our Security Engineering team. This is a generalist, "all-rounder" role - you will work across all security domains, while leading and owning a specific security domain based on your expertise.
You will define and drive security programs, design and implement security controls, and make architecture-level decisions across your domain. You will work closely with R&D, DevOps, and engineering teams, embedding security into how we build and operate at scale, and help shape a security-first culture across the organization.
What You'll Work On:
Define and maintain security standards, policies, and controls across all security domains - including SSDLC processes and secure development standards across R&D
Work hands-on alongside R&D, engineering, and IT teams to implement security controls, drive adoption, and ensure execution
Lead and contribute to large-scale security projects with real organizational impact
Evaluate, integrate, and operate industry-leading security tooling and platforms - including emerging startups with cutting-edge technologies
Build automation, tools, internal processes, Terraform modules, GitHub Actions, and AI agents for engineering teams and for your own team
Conduct security assessments and threat modeling.
Lead containment, investigation, and forensic analysis during security incidents
Identify security gaps and misconfigurations across cloud environments, infrastructure, and internal processes - and drive remediation through scalable, long-term solutions
Contribute across all security domains - cloud, application, AI security, detection engineering, IT, and more

Were looking for an Application Security Engineer with a passion for AppSec to join our growing team.
Responsibilities:
‍‍Build and maintain an advanced security research lab to test, evaluate, and supercharge detection tools.
Analyze tools across multiple domains: SAST, SCA, DAST, Secret Detection, IaC Scanning, Container Scanning, CSPM, and more.
Identify detection gaps and develop techniques and rules to close them.
Leverage Python and AI practices to automate research and drive smarter detection strategies.
Monitor emerging threats, CVEs, and high-profile incidents - and develop relevant detection content and platform enhancements.
Collaborate closely with engineering, product, and marketing.

We are seeking an MDR Security Engineer to own and scale the automation layer that powers our global MDR operations. This role is responsible for building and operating production-grade automation systems that reduce manual workload, improve detection quality, and enable consistent, high-quality incident response.
The ideal candidate is a hands-on engineer with strong experience in SOAR platforms, security operations, and automation design, capable of driving measurable improvements in efficiency, reliability, and response outcomes across a high-volume SOC environment.
Responsibilities
Upkeep the design, development, and lifecycle of SOAR playbooks, workflows, and integrations across the MDR platform
Build and operate production-grade automation systems supporting alert triage, enrichment, investigation, and response
Define and drive automation strategy by identifying high-impact, high-volume SOC processes and scaling them through automation
Develop integrations across SIEM, EDR/XDR, identity, cloud, and ticketing systems using APIs and scripting
Partner with MDR analysts, IR, threat hunters, and engineering teams to translate operational workflows into scalable automation
Improve detection and response quality through automation of enrichment, investigation, and containment workflows
Contribute to incident response and RCAs by delivering tooling that improves investigation speed, accuracy, and consistency
Evaluate and implement new automation capabilities, including AI-assisted workflows and data-driven decisioning
Monitoring, Metrics & Reliability Ownership
Define and own automation KPIs, including:
Automation coverage (% of alerts handled or augmented)
MTTD / MTTR improvement
False positive reduction and signal-to-noise improvement
Analyst time saved and throughput increase
Build and maintain dashboards and reporting to measure automation impact on SOC performance and SLAs
Ensure production reliability and stability of automation systems, including:
Monitoring workflow success/failure rates and execution latency
Tracking integration and API health, errors, and retry behavior
Implementing logging, alerting, and observability across automation pipelines
Continuously optimize workflows based on data, feedback, and operational performance to ensure consistent 24/7 MDR operation.

As a Cloud Security Lead (Cloud Security Architecture & Hardening) , you will design, implement, and enhance the security of our mission-critical cloud infrastructure and the Enterprise Browser by establishing robust security architectures, implementing proactive hardening controls, and driving continuous operational excellence. You will play a critical role in safeguarding our cloud environment, shaping the foundational security posture through precision, innovation, and design foresight.

Key Responsibilities

Cloud Security Architecture & Hardening: Design and enforce security baselines, configurations, and reference architectures across our multi-cloud footprint (AWS/GCP/Azure). Evaluate new cloud services and features for security implications and create hardened deployment standards for IaaS, PaaS, and serverless components.
Security Engineering & Automation: Develop and deploy security-as-code solutions, integrating security controls directly into CI/CD pipelines and leveraging Infrastructure-as-Code (IaC) tools to ensure continuous configuration integrity and compliance. Develop custom automation for detection, alerting, and triage workflows, leveraging cloud SDKs and APIs.
Cloud Security Monitoring & Observability: Design, implement, and maintain cloud-native security monitoring solutions (e.g., utilizing services like CloudTrail, GuardDuty, Security Command Center) to ensure comprehensive visibility across the cloud control plane and data plane.
Incident Triage & Response: Support the security team in investigating and responding to critical security events and vulnerabilities, creating runbooks, and contributing to post-incident remediation and architectural improvements.
Security Enablement & Awareness: Collaborate with product, engineering, and IT teams to improve security awareness, deliver training, and drive adoption of security best practices across , specifically for IaaS, PaaS, and secure DevOps practices.

As a Product Security Architect , you will be responsible for designing, shaping, and evolving the security architecture of the Enterprise Browser. This role combines deep technical expertise with strategic thinking, focusing on proactively reducing risk through secure design, architectural reviews, and close collaboration with engineering and product teams. You will play a key role in defining security standards, guiding threat modeling efforts, and ensuring security is built into the product from its earliest design stages throughout its production lifecycle and evolutions.

Key Responsibilities:

Security Architecture & Design: Define and own product security architecture across browser components, OS integrations, and enterprise-facing features, ensuring security-by-design principles are consistently applied.
Threat Modeling & Risk Assessment: Lead threat modeling efforts for new features and architectural changes, identifying attack surfaces, trust boundaries, and mitigation strategies in collaboration with engineers and product leaders.
Security Reviews & Guidance: Perform architecture and design reviews, providing actionable security recommendations and guiding teams on secure implementation patterns.
Vulnerability & Attack Surface Analysis: Proactively assess systemic risks, design flaws, and high-impact vulnerability classes relevant to browsers and enterprise platforms.
Security Standards & Enablement: Develop and maintain security guidelines, patterns, and reference architectures; support teams in adopting secure coding and design practices.
Cross-Functional Collaboration: Partner closely with engineering, product, and product security leadership to balance security, usability, and performance tradeoffs.
Security Strategy & Innovation: Track emerging threats, exploitation techniques, and industry trends to continuously improve long-term security posture.