דרושים » תוכנה » Security Engineer

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.

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.

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.

We are looking for an AI AppSec Engineer to join our team and make a real impact on our Secure Software Development Lifecycle! As an AI AppSec Engineer your mission will be to be the driving force behind our secure development lifecycle. You wont just find bugs; you will help build the systems that prevent them. You will have the opportunity to help navigate the "Agentic Era" by building autonomous security guardrails, securing LLM-based workflows, and empowering developers to move fast without breaking security. You will also be responsible for working closely under the AppSec Architect.
This role is based out of our Tel-Aviv site and will report to the AppSec Architect
What you will be responsible for:
Build & automate: Develop and maintain internal security tooling, automated workflows, and AI security agents.
Code integrity: Execute secure code reviews and provide actionable remediation guidance to engineering teams.
Vulnerability management: Lead the tracking, triaging, and reporting of security flaws across all product lines.
Best practice advocacy: Drive the adoption of secure coding standards, partnering with R&D and DevOps teams to embed security early and often.
Extend our D&R capabilities: Build scalable solutions to identify malicious activity, triage alerts, and investigate and remediate incidents.
Document: Draft requirement documents for security products and innovative technologies.

We are seeking an experienced DevOps Engineer to join our Engineering team and play a key role in building and operating our cloud-native platform. The ideal candidate will have hands-on experience managing production environments at scale, driving cloud transformation initiatives, and supporting the of enterprise systems from on-premises deployments to modern SaaS and cloud-native architectures. You will be responsible for designing, automating, and maintaining scalable infrastructure, CI/CD pipelines, and deployment processes that support both our core products and emerging AI-driven capabilities. Working closely with Engineering, QA, Product, and AI teams, you will help ensure the reliability, security, and performance of our services while driving operational excellence and continuous improvement across our technology stack.
Responsibilities:
Design, implement, and maintain CI/CD pipelines.
Manage and optimize cloud infrastructure across AWS, Azure, and/or GCP.
Develop and maintain Infrastructure as Code using Terraform.
Manage Kubernetes-based environments and GitOps deployment workflows using Argo CD and
Kustomize.
Lead and support the migration of enterprise applications and infrastructure from on-premises
environments to scalable SaaS and cloud-native architectures.
Establish, maintain, and continuously improve production environments, ensuring high availability,
security, scalability, and operational excellence.
Demonstrate strong production ownership, including incident management, root cause analysis,
capacity planning, and performance optimization.
Collaborate with Engineering, QA, Product, and AI team
Support the deployment, operation, and monitoring of AI and Generative AI services.
Build and maintain monitoring, logging, and alerting systems.
Troubleshoot and resolve infrastructure, deployment, and production issues.

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.
About the Company:
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.
Responsibilities
As a Senior Security Operations Engineer, your responsibilities will include:
Engineering level oversight and support of the operational security environment including endpoint security, cloud/SaaS security, email security, AI security, and network security.
Design, implement, and maintain security solutions for on-premises and cloud environments (e.g., AWS, Azure, GCP).
Architect, configure, and maintain Security Service Edge (SSE), including CASB, Next-Gen SWG, and ZTNA. Establish data loss prevention (DLP) profiles, threat protection policies, and granular access controls across multi-cloud and SaaS environments.
Assist in responses to internal and external compliance audits, penetration tests and vulnerability assessments.
Provide recommendations regarding direction of systems and applications to help secure access, data and assets.
Research and analyze Security Operations Center (SOC) related cyber threats , alerts, and vulnerabilities and ensure our systems are properly protected.
Conduct research on emerging products, services, protocols, and standards relative to the information security arena.
Work with IT Security product vendors and service providers, to evaluate potential security offerings, including product evaluations, pilots and proof of concept installations
Ability to understand and troubleshoot cyber security issues, network configurations, system configurations and upgrades, user authentication, etc..
Ability to work well with other technology areas to deploy security technologies.
Customer service-oriented
Strong work ethic and sense of urgency
Develop and maintain security architecture diagrams, documentation, and standards.

We're hiring a Detection Engineering & Response Lead to build and run our D&R capability from the ground up. You'll own the detection engineering, threat intelligence, and incident response functions across Cloud - and lead a small, growing team of analysts and engineers.

This is a lead engineering role responsible for detection development, handling the most complex security incidents, forensics, and shaping the D&R strategy.

What youll do
Lead detection development: maintain low false-positive and false-negative rates. Work closely with alerts consumers (20+ teams) to keep noise low and signal high, ensuring they can act quickly without missing genuine threats.

Architect and operate detection coverage across our cloud and bare-metal environments

Build and extend our internal D&R tools and pipelines - onboard new logs, build and automate response runbooks.

Integrate threat intelligence into detection logic and IR playbooks, tracking adversary TTPs relevant to Cloud infrastructure

Lead incident response end-to-end: scoping, containment, root cause analysis, post-incident reviews and controlling critical action items are closed to prevent future possible incidents.

Partner with Compliance and Engineering teams to detect real threats while meeting the needs of both engineers and regulators.

Define and report on D&R metrics: MTTD, MTTR, detection coverage, false positive rates, etc.

Build and maintain Security Incident Response program: people, processes, tools.

Build tools, runbooks, and on-call processes that scale as the company grows.

As a DevOps Engineer for our companys Autonomous Workspace Platform, you will play a key role in designing, implementing, and maintaining the cloud infrastructure behind a new AI-driven security platform.
You will be responsible for managing cloud environments that support our companys XDR products and the Autonomous Workspace Platform. You will take part in designing and implementing cloud architecture, optimizing infrastructure, improving reliability and observability, and ensuring security and cost efficiency.
This is a hands-on role for an independent engineer who can take ownership of tasks end to end - from analyzing a challenge and suggesting a solution, through design, implementation, and production rollout.
You will collaborate with stakeholders across R&D and the broader company, including Security and Product teams, to automate processes, streamline operations, improve developer experience, and drive meaningful improvements in our cloud strategy.
You will have the opportunity to join a team building a brand-new AI-driven security platform in a fast-paced, startup-like environment.
Key Responsibilities
Cloud Infrastructure & Architecture: Play an important role in shaping our AWS-first cloud architecture, with a focus on scalability, reliability, security, innovation, and long-term success.
Production Reliability: Tackle large-scale production issues and proactively improve the reliability, efficiency, availability, and observability of our cloud services.
Cross-Functional Collaboration: Work closely with stakeholders across R&D, Security, Product, and other groups to ensure seamless integration of DevOps practices.
Automation & Developer Experience: Automate and streamline operations and development processes, reduce manual intervention, and improve the developer experience.
Security & Cost Optimization: Help ensure that our infrastructure is secure, efficient, aligned with organizational standards, and cost-effective.
Cloud Operations Excellence: Drive improvements in deployment practices, monitoring, infrastructure management, and operational maturity.

Required Senior Security Engineer
As a Senior Enterprise Security Engineer, you will be a foundational architect of our security posture, directly safeguarding our corporate infrastructure, sensitive financial data, and global user base. This is a highly hands-on, configuration-driven role that requires working directly with systems that power our security program in a modern, cloud-native environment.
Your work will be critical in ensuring we become globally recognized for secure, unparalleled corporate travel and expense management.
What Youll Do:
Vulnerability Management & Exposure Reduction: Architect, manage, and scale the end-to-end vulnerability management program. Oversee continuous asset discovery, vulnerability scanning, threat exposure assessment, and risk-based prioritization (CVSS, EPSS, threat intelligence). Partner closely with infrastructure, engineering, and IT teams to establish SLAs, streamline patch management workflows, and validate effective remediation.
Security Incident Response & On-Call Rotation: Participate in the security engineering on-call rotation. Serve as a responder responsible for identifying, scoping, triaging, managing, and mitigating security incidents, followed by leading thorough post-incident reviews and root-cause analyses.
Detection & Automation Optimization: Help improve and maintain our existing detection pipeline by providing feedback on alert quality, reviewing current monitoring coverage, and performing direct tuning in SIEM platforms to reduce noise and increase signal fidelity. Evaluate existing SOAR playbooks and workflows, offering recommendations and performing targeted updates to streamline response processes.
Identity Governance & Access Control: Define and enforce strong IAM principles (e.g., Least Privilege, Zero Trust) and contribute to identity governance platforms to ensure secure authentication, authorization, and access across the enterprise.
Email Security: Strengthen email security by managing alerts and workflows in platforms like Material Security, reviewing post-delivery threats, and improving automated response to suspicious messages and mailbox activity.