דרושים » ניהול ביניים » Senior Product Security Engineer

We are looking for a Product Security Engineer to join our Product Security team and help strengthen security across our products and software development lifecycle.
The role is hands-on and engineering-focused, working closely with development and product teams to identify security risks, improve application security, and implement practical security solutions throughout the development lifecycle.
In this role, you will be responsible for:
Work closely with development and product teams on application and product security throughout the software development lifecycle.
Perform hands-on security reviews of applications, APIs, services, and code.
Identify, investigate, validate, and assess product security vulnerabilities and security findings.
Provide practical remediation guidance and work with development teams through remediation.
Perform threat modeling and security analysis for new and existing product capabilities.
Work with application security tools and technologies including SAST, SCA, DAST, API Security, WAF, and related security controls.
Improve and automate Product Security processes, tooling, and security checks across the development lifecycle.
Assess security across modern application environments including web applications, APIs, microservices, containers, Kubernetes, and cloud-native services.
Support secure coding practices and provide practical security guidance to development teams.
Support vulnerability disclosure and Bug Bounty activities, including technical validation, risk assessment, and remediation follow-up.
Contribute to the continuous improvement of Product Security practices and capabilities across our engineering organization.

Required Senior Application Security Engineer
As a Senior Application Security Engineer, youll plan, build, and support efforts to strengthen security across the organization. As part of our Security & Platform organization, youll work across the software development lifecycle and the underlying cloud and platform environment.
Youll own application security throughout the SDLC, including security requirements, threat modeling, secure design reviews, code reviews, application and API security testing, and production hardening. The role combines application security, cloud and platform security, and security automation. Youll partner closely with Security, Engineering, Platform, DevOps, and IT teams to build secure-by-default systems and reduce risk at scale.
Youll also define and report meaningful security metrics, including control coverage, vulnerability trends, remediation timelines, security exceptions, and baseline compliance. This is a hands-on engineering role for someone who can move comfortably between architecture and threat modeling, code and API reviews, cloud and identity guardrails, CI/CD security controls, vulnerability remediation, and automation.
Responsibilities
Define, track, and report meaningful security metrics, including control coverage, vulnerability trends, remediation timelines, security exceptions, and baseline compliance.
Own application security across the SDLC, from security requirements and threat modeling through secure design, code reviews, testing, and production hardening.
Strengthen cloud and platform security by implementing scalable security controls, identity guardrails, and secure-by-default practices.
Partner closely with Security, Engineering, Platform, DevOps, and IT teams to reduce security risk and improve security practices across the organization.
Designing controls for multi-account or multi-cloud environments using Terraform, policy-as-code technologies such as OPA or Sentinel, or automated remediation workflows.
Experience running a Security Champions, bug bounty or responsible disclosure program, or delivering hands-on secure engineering training.
You'll translate technical risk into clear remediation guidance and influence engineering and leadership stakeholders through strong written and verbal communication.

We are seeking a Senior Application Security Engineer with profound expertise in application security. In this role, you will execute fundamental AppSec tasks, including threat modeling, secure design reviews, code evaluation, and vulnerability management, leveraging both manual methods and advanced AI tooling. You will also help secure the AI systems Unity itself is building, including agentic tools and AI-assisted development workflows.

You will work directly with engineering teams across the US and EMEA.

What you will do
Lead threat modeling, secure design reviews, and penetration testing for Unity products and services, from the engine and editor to cloud services, APIs, and internal platforms.

Perform deep code review and manual testing on high-risk systems, using AI-assisted review processes and covering areas automated tooling cannot fully reach.

Build and operate security automation. Use and extend AI-assisted tooling for continuous code review, finding triage, and automated penetration testing, and step in where human judgment is required.

Secure AI and agentic systems. Assess AI-native products, LLM integrations, and agent workflows for the risks specific to them.

Partner with engineering teams to drive remediation, turning recurring findings into guardrails, secure defaults, and paved paths.

Investigate and respond to application security incidents, including root cause analysis and durable corrective action.

Contribute to secure development lifecycle and to compliance work.

As a Senior Product Security Engineer, you will help ensure that security is built into the products, platforms, AI systems, and clinical workflows that support healthcare providers and patients at scale. This is a hands-on technical role focused on securing real systems in production, influencing architecture, and partnering closely with engineering, AI, DevOps, product, quality and regulatory.
You will work across cloud-native services, medical imaging workflows, healthcare integrations, AI/ML pipelines, APIs, data flows, and regulated product development processes. Your work will directly support our company's ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
What Makes This Role Unique at our company
Clinical AI with real-world patient impact - our company operates in an environment where security is not only about protecting systems and data. Security decisions can affect clinical workflows, care-team coordination, customer trust, and patient safety.
Highly sensitive healthcare data - You will help protect medical imaging data, clinical metadata, PHI/PII, customer environments, and AI-driven workflows that require strong privacy, access control, data protection, and auditability.
Security for AI/ML and medical imaging systems - The role extends beyond traditional AppSec into AI/ML security, data pipeline protection, inference integrity, model-related risks, and misuse scenarios in clinical workflows.
Complex healthcare integrations - our company integrates with hospital systems and healthcare workflows that may include PACS, EHR, VNA, RIS/worklists, scheduling systems, and communication platforms. You will help secure the data flows, authentication models, APIs, and deployment patterns behind these integrations.
Engineering-driven security in a regulated environment - This is not a checkbox compliance role. However, because our company operates in healthcare and clinical AI, security must be practical, evidence-based, and aligned with regulatory, customer, and quality expectations.
Cloud-native scale and production ownership - You will work with modern cloud infrastructure, Kubernetes, containers, CI/CD pipelines, identity and access management, observability, vulnerability management, and software supply-chain controls.
Responsibilities
Secure product and clinical workflows end-to-end - Work directly with engineering and product teams to identify, prioritize, and remediate security risks across services, APIs, medical imaging workflows, AI outputs, data flows, and customer-facing product features.
Drive secure-by-design architecture - Provide practical security guidance on authentication, authorization, tenant/customer isolation, encryption, secrets management, service-to-service communication, audit logging, and secure data handling.
Strengthen cloud-native security - Improve security across cloud environments, Kubernetes, containers, IAM, network segmentation, workload identity, infrastructure-as-code, logging, monitoring, and cloud security posture management.
Embed security into the development lifecycle - Integrate, tune, and operationalize security tooling across CI/CD pipelines, including SAST, SCA, IaC scanning, container scanning, secrets detection and build/release integrity controls.

Shape the Future of AI Infrastructure with our company
This is a rare opportunity to join one of the fastest-growing infrastructure companies in tech history, right at the epicenter of the AI revolution.
Recognized by Forbes as "the future of the market," our company is building the foundational enterprise software powering the AI era. We engineer platforms that capture, catalog, refine, and protect massive datasets across data centers, edge, and cloud, making real-time analytics, AI training, and inference simpler and faster than ever before.
Our explosive growth is fueled by relentless engineering innovation, a customer-first mindset, and a team of fearless company ronauts who thrive on solving computing's hardest problems. Join us at this pivotal moment in technology history and make a lasting impact on how the world processes data.
We are looking for a hands-on, forward-thinking Security Engineer to join our growing security team. In this role, you will lead offensive security initiatives, build internal automation using modern workflows and AI agents, and manage cloud and infrastructure risks. You will conduct penetration tests across our architecture, analyze deep protocol flaws, write custom tooling, and take security findings from discovery all the way to resolution.
Core Responsibilities:
Penetration Testing & AI Automation: Conduct comprehensive penetration tests across all components of our architecture-ranging from Web APIs down to S3 protocols-and design systems to automate routine pentesting using AI tools.
Protocol & Flaw Analysis: Leverage a deep understanding of network and application protocols to identify architectural and implementation flaws, using AI prompts and modern tooling to uncover edge-case security risks.
Tooling & Process Automation: Write custom internal security tools and leverage AI agents to automate repetitive tasks, incident responses, and continuous security workflows.
Secondary Responsibilities:
Cloud Security Monitoring: Monitor and manage cloud security posture using CNAPP (Cloud-Native Application Protection Platform) tools, maintaining oversight of our cloud infrastructure and containerized environments.
Vulnerability Management & Remediation: Run and maintain regular SAST and DAST scans across operating systems, Docker containers, and source code. Own security findings from discovery through code remediation and validation.
Jira & Delivery Tracking: Manage, prioritize, and promote security Jira tickets through the full lifecycle-from initial triage and assignment through to final delivery and verification.

As a Security Researcher , you will play a key role in shaping the future of modern runtime and AI security. You will investigate how real-world attacks unfold across applications and cloud environments, and turn those insights into innovative, production-grade security capabilities.

This role is ideal for a deeply technical researcher who is driven to understand attacks at their core - not just identify surface-level indicators. You will research exploitation chains, runtime behavior, attacker techniques, and emerging AI attack patterns, then apply that knowledge to build protections that are precise, resilient, scalable, and grounded in how attacks actually work.

Specifically, you will:

Research real-world attack techniques targeting modern applications, cloud-native environments, and AI-driven systems.
Design, develop, validate, and deploy detection algorithms based on technical research, large-scale runtime telemetry, threat intelligence, and exploit PoCs.
Shape the strategy for detection data collection by defining the required telemetry, collection points, and data quality standards needed to support effective protection.
Drive research efforts end-to-end, from initial exploration and technical investigation to production-grade protection capabilities for active threats.
Work closely with engineering and product teams to turn research into practical security capabilities.

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.

We're looking for a Security Engineer - our company Product to spread the power of our company. The ideal candidate will have experience performing security reviews, vulnerability management, and detection and response operations in cloud-native environments. Youll get to collaborate with our software development and DevOps teams to secure our companys products, CI/CD infrastructure, and production infrastructure. Youll also have the opportunity to influence our product roadmap by utilizing our company-for-our company to assess, monitor, and harden our environments.
Responsibilities
Lead threat modeling and security design reviews with R&D and Product teams - identifying and mitigating architecture risks early in the development lifecycle.
Drive vulnerability management and remediation - actively writing IaC (Terraform), submitting code PRs, and developing security automations (Python/Go) to resolve risks.
Extend cloud detection and response capabilities - authoring detection rules, monitoring cloud environments, and investigating live security incidents across our production infrastructure
Act as "Customer Zero" by leveraging our company to protect our company- dogfooding new product features in our massive multi-cloud environment and directly shaping the product roadmap.
Partner with our DevOps and our company Federal teams - hardening CI/CD pipelines, container/Kubernetes infrastructure, and extending security controls to FedRAMP environments.
Enable engineering teams to deliver secure-by-design cloud and AI solutions without slowing down development velocity.

We are seeking a seasoned security leader to manage a high-caliber research team focused on the security of Identity, SaaS, and Cloud ecosystems. In this role, you will provide technical mentorship and strategic vision, guiding research into service risk profiling and adversarial TTPs analysis. You will be the bridge between cutting-edge research and product innovation, ensuring our findings translate into high-impact security outcomes to stay ahead of modern adversaries.
Key Responsibilities:
Define the research roadmap for Identity, SaaS, and Cloud risks, ensuring the team's outputs align with the evolving threat landscape and company goals.
Lead and grow a diverse team of security researchers, providing the technical guidance and career development necessary to maintain a world-class research organization.
Leverage your experience in a product-focused environment to ensure research outcomes directly influence service security strategies and customer-facing solutions.
Oversee the execution of high-fidelity attack simulations and TTP deconstruction, ensuring the 'how-to' of secure service usage is clearly defined and actionable.
Partner with Engineering, Product Management, and Threat Intel teams to transform raw research into robust mitigation strategies and resilient service blueprints.
Represent the team's research internally and externally, positioning the organization as a premier authority on Identity-centric and Cloud security.