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As a Senior Cloud Security Engineer at our company, you'll own the security controls customers actually trust us to ship. Every major cloud - AWS, Azure, GCP, OCI - gives you a partial set of our company controls, and none of them cover what an enterprise security team really needs. You'll close the gaps: research what each cloud exposes, design controls that produce a consistent security outcome across all of them, and tailor each one to the provider it runs on. You'll work end-to-end. Research, threat model, design, infrastructure-as-code, rollout, production validation. No handoffs, no thrown-over-the-wall designs
Key Responsibilities
As a Senior Cloud Security Engineer, you'll take full ownership of security controls - from concept to delivery.
You'll engage with customers, align with our strategic direction, and identify what you and the team should build next.
You'll ship MVPs directly in production with real customer environments, iterate quickly based on feedback, and ensure the long-term success of your work.
And yes - you'll also jump in as a Security Hero, helping customers understand what their cloud is doing and what to do about it.

We are looking for a Senior Product Security Engineer to own and evolve our Application and Cloud Security programs end-to-end. You'll embed security early in the development lifecycle, drive automation-first security practices across engineering, and partner closely with DevOps and product teams to keep our platform secure by design - from code to cloud.

What Youll Do
Responsibilities:
Own, maintain, and continuously improve the Secure Design Review process, ensuring security considerations are integrated early in the development lifecycle.
Develop, implement, and maintain our Application Security Program, including controls, standards, developer enablement, and automation - managing SAST and DAST tooling, integrations, alerting, and program-wide reporting.
Develop and maintain our Cloud Security Program, defining guardrails, policies, and automated controls for secure-by-default cloud deployments, including CSPM tooling, findings triage, and alignment with internal risk and compliance processes.
Monitor and enforce SDLC security controls, ensuring consistent application of secure development practices across all engineering teams.
Partner with DevOps to design, implement, and maintain a fully secured CI/CD pipeline, embedding security checks, guardrails, and automated gates throughout build, test, and deployment stages.
Collaborate closely with engineering teams to deliver actionable guidance, model threats, advise on architecture, and support secure implementations.
Identify gaps in product, application, and cloud security posture, and drive end-to-end remediation and vulnerability management campaigns.
Define and track KPIs, metrics, and reporting for application and cloud security health.
Drive automation-first approaches to product and cloud security, reducing friction and enabling fast, safe development, while promoting a culture of security and developer empowerment.

our company seeks a Senior Application Security Engineer to serve as the technical core of our bug bounty program within the Product Security Incident Response Team (PSIRT). This is the senior engineer who owns bug bounty reports from intake through resolution: reproducing and validating the vulnerability, assessing its severity, and seeing it through to a verified fix.
The work is deeply technical. Reproducing a vulnerability is only the starting point. From there you read the underlying code, identify root cause, and either propose the fix or design it alongside engineering before confirming it holds. You are also the person researchers deal with directly, which makes clear, credible communication as central to the role as the technical analysis itself.
As one of the most senior engineers on the team, you will set the standard for how triage is done and mentor earlier-career engineers. Beyond the bug bounty queue, you will conduct variant hunts, perform original platform security research, lead major product security incidents, and run forensic postmortems when a significant issue reaches production.
Key Responsibilities
Triage and Resolve Bug Bounty Reports
Own incoming reports end-to-end: intake, reproduction, severity scoring, root cause analysis, fix verification, and final disposition.
Reproduce and validate reported vulnerabilities, building out incomplete proof-of-concept code where needed.
Serve as the technical escalation point for the most complex and highest-severity reports, including multi-step exploit chains and cross-system issues.
Perform code review and root cause analysis to identify the underlying defect rather than the reported symptom.
Propose remediations, or design them with engineering, and verify the fix resolves the issue.
Assign and defend severity ratings using the program's severity framework.
Route issues to owning teams, file and track defects, and keep vulnerability records accurate through closure.
Own Researcher and Stakeholder Communication
Act as our company's primary technical point of contact for bug bounty researchers across the full lifecycle of a report.
Handle severity and validity disputes directly, keeping every exchange clear, timely, respectful, and technically credible.
Translate technical findings for internal stakeholders and keep engineering and leadership current on status and risk.
Mentor the Team and Raise Triage Standards
Provide technical mentorship to earlier-career PSIRT engineers, developing depth in reproduction, code analysis, severity judgment, and communication.
Set and maintain the bar for triage quality and strengthen program practices over time.
Lead Advanced Security Work Beyond Triage
Conduct variant hunts to find related instances of reported vulnerabilities before they are discovered externally.
Perform original platform security research to surface issues ahead of external researchers.
Lead major product security incidents on the PSIRT side, coordinating response across teams under pressure.
Run forensic postmortems after significant incidents to determine how the issue reached production, including how design-level flaws bypassed release processes, and confirm that remediations hold.

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.

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 skilled Security Automation Engineer to join our SOC Automation team and play a key role in building and scaling automation across Security Operations. This is a hands-on role - you will design, develop, and integrate automation solutions across SIEM, EDR, and other security platforms, contributing to our SOAR capabilities from the ground up.

You will work in a technologically rich environment, integrating with a wide range of security and infrastructure systems across the network - a unique opportunity to build automation at scale in a greenfield setting, with real influence over the architecture and tooling decisions.

We are especially interested in candidates who are curious about leveraging AI and intelligent agents to help evolve next-generation automation and response workflows - and who want to be a driving voice in how we apply those technologies.

Your responsibilities will include:

Automation development

Design and develop automation workflows for incident response and SOC operations
Identify and eliminate manual processes through scalable automation
Build reusable components and maintainable automation patterns
Engineering & integration

Develop integrations using REST APIs, webhooks, and event-driven architectures
Write high-quality, maintainable Python for automation and orchestration
Implement data parsing, enrichment, and transformation across multiple systems
SOAR & platform buildout

Lead or actively contribute to the evaluation, selection, and implementation of SOAR/automation platforms
Design the automation architecture and integration strategy for the team
Build automation capabilities in a greenfield environment - your decisions will shape the foundation
SOC collaboration

Work closely with SOC analysts and incident responders to translate operational needs into automation solutions
Improve end-to-end detection and response workflows through close partnership with the team
AI & innovation

Actively build and evaluate AI/LLM and agent-based workflows applied to security automation
Prototype AI-assisted enrichment, triage, and response solutions and drive them toward production

We're looking for an innovative, experienced Software Developer to spearhead the creation of autonomous AI agents at the intersection of cyber security and advanced AI. Your primary focus will be designing and building cutting-edge agentic systems from scratch that reason over security data, orchestrate tools, and operate autonomously to support our company's cyber security and defense efforts. In this role, you will bridge the gap between advanced AI concepts and production-grade software engineering, taking real ownership of the architecture, mentoring others, and applying next-generation technology to counter advanced cyber threats.
Key Responsibilities
Design and build autonomous AI agents from scratch to actively support our company's cyber security capabilities
Develop knowledge-based, agentic AI systems capable of reasoning over security data, deciding on action plans, and executing tools autonomously
Own the multi-agent orchestration infrastructure, ensuring it is highly scalable, reliable, and secure against cyber attacks
Collaborate with cross-functional teams to integrate AI agent capabilities smoothly into existing product pipelines and cloud architectures
Stay current on both core software engineering trends and modern AI development methodologies, bringing that knowledge to the team.

We are looking for a Platform Security Director to lead the engineering of our security infrastructure. Your mission is to build a Security Machine that is as sophisticated as our AI. You will move us beyond traditional "defense" into a "Secure-by-Default" reality, where our multi-cloud infrastructure (AWS and Azure) is hardened, automated, and resilient by design.
Youll Own:
The end-to-end security strategy across Application Security, Cloud (AWS/Azure), and Platform layers, ensuring a Secure-by-Default framework, as measured by deployment coverage, critical vulnerability reduction, and developer adoption metrics.
A unified Security Engineering organization covering AppSec, SecDevOps, and AI Security leadership, collaboration points with adjacent teams (Infrastructure, R&D, Product Engineering), and building and mentoring a high-performing team.
Lead our Platform Security domain - from Layer 7 protections to AWS architecture, security tooling, automated risk scoring, and AI-assisted automation workflows that improve detection and remediation times.
Security controls (WAF, Rate Limiting) embedded into the SDLC and CI/CD pipelines, including mandatory security gates, artifact scanning, and automated deployment checks.
Lead our AI strategy - enabling secure use in our platform products as well as for our internal engineering usage, and scaling AI security governance and controls.
The evolution of scalable infrastructure security, including Kubernetes, containers, IAM, and Zero Trust architectures, strengthening Kubernetes and cloud security posture.
Own and execute the comprehensive Vulnerability Management program, from discovery (SAST/DAST/OSS scanning) through remediation tracking, and manage the external Bug Bounty program, with a focus on improving remediation SLAs and automation coverage.
Mature secure-by-default engineering practices across the SDLC.
Increase developer adoption of automated security tooling.
Youll Solve:
Eliminating manual bottlenecks through code-driven guardrails and frictionless developer experiences.
Securing complex production systems and multi-tenant AI architectures in cloud-native production environments, with a focus on model integrity, training data provenance, data exfiltration prevention, and minimizing unique risks associated with Large Language Models (LLMs), by applying specific AI threat models.
Operationalizing Red/Purple Team exercises, penetration testing, and the Bug Bounty program to ensure a continuous feedback loop that drives proactive risk reduction.
Youll Impact:
Support a culture where security is embedded into the foundation of engineering
Turn security into a strategic product advantage and customer trust differentiator
Improve developer experience by making the secure path the easiest path
Increase engineering velocity while strengthening platform resilience
Shape the future intersection of Security, AI, and Platform Engineering
Create scalable systems, processes, and relationships that grow with the companys innovation pace.

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.

As a Product Security Low-Level Researcher , you will focus on deep technical research across operating systems, kernels, drivers, and low-level system components that underpin modern enterprise computing. You will investigate complex attack surfaces, uncover subtle and high-impact vulnerabilities, and translate cutting-edge research into practical security improvements for platform. This role emphasizes deep systems knowledge, hands-on experimentation, and original research that pushes beyond application-layer security.



Key Responsibilities:

Low-Level Vulnerability Research: Research and discover vulnerabilities in operating system kernels, drivers, system services, virtualization layers, and low-level system components relevant to execution and trust boundaries.
Kernel & OS Internals Analysis: Analyze kernel subsystems (memory management, scheduling, IPC, filesystems, networking) and OS security primitives to identify design flaws, logic bugs, and exploitation opportunities.
Exploit Development & Validation: Develop proof-of-concept exploits for kernel- and driver-level issues to validate impact, assess exploitability, and inform mitigation strategies.
Security Testing & Tooling: Design and build custom tooling for kernel fuzzing, syscall/interface testing, driver analysis, and low-level instrumentation across supported platforms.
Cryptography & Trust Mechanisms: Assess the implementation and usage of cryptographic primitives, key management, secure boot, attestation, and hardware-backed security features, identifying weaknesses or misuse patterns.
Threat Modeling at the System Level: Collaborate with architects, platform engineers, and the Product Security Lead to model threats across privilege boundaries, boot chains, isolation mechanisms, and OS-level integrations.
Research Enablement & Knowledge Sharing: Track emerging exploitation techniques, kernel research, and advanced persistent threat tradecraft; contribute findings to internal playbooks, design guidance, and long-term security strategy.

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 Senior Staff Software Engineer in the Detection Platform group, you will be tasked with being the technical authority responsible for defining and evolving the architecture of the cloud-native systems that power our AI SIEM detection, hunting, and response capabilities, including large-scale real-time detection engines, stateful detection engines, anomaly detections, ML pipelines, agentic SOC and threat-hunting capabilities. You will lead the design and execution of backend systems that process billions of events and several petabytes of data daily and serve tens of thousands of security specialists at enterprise and government customers worldwide. Your technical leadership will bridge long-term architectural strategy and high-velocity product delivery, and you will drive cross-team initiatives that shape how detection and response are built and operated across the group.

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 Senior Staff Software Engineer on the Agent Platform Detection team, you will be the technical visionary responsible for defining and evolving the architecture of our detection, triage, and response platform. You will lead the design and execution of backend systems and SaaS services that power alert propagation, alert lifecycle management, and response capabilities at extraordinary scale. Your technical leadership will bridge the gap between long-term architectural strategy and high-velocity product delivery, influencing how detection and response workflows are built and operated across platform.

Our team is looking for a Senior Backend Developer with a passion for solving complex scaling problems with a good understanding of efficient, forward-looking system design. Our desired candidate has a can-do attitude that will inspire and help us build rocket ships. om scratch'

What You'll Do


Shape the Core - Design, build, and scale the companys infrastructure at the heart of our product.
Raise the Bar - Continuously refine system architecture, set high technical standards, and push for engineering excellence.
Collaborate Across the Board - Work hand-in-hand with R&D, product, and other teams to deliver powerful cross-platform features.
Engineer for Scale - Architect and build features that thrive in the AI era.
Be a Force Multiplier - Drive improvements in our development processes, tools, and frameworks, so the whole team can move faster and smarter.