דרושים » אבטחת מידע וסייבר » Application Security Engineer

we are looking for a Senior 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 ability to deliver secure, reliable, and trusted clinical AI solutions to healthcare organizations worldwide.
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.
Own vulnerability management as an engineering system - Prioritize vulnerabilities based on exploitability, product exposure, customer impact, clinical risk, and regulatory relevance. Drive remediation with engineering teams and reduce recurring issues through root-cause improvements.
Secure AI/ML-driven features and data pipelines - Partner with AI, data, and platform teams to identify risks related to training and inference data, model inputs and outputs, model misuse, data leakage, access to sensitive datasets, pipeline integrity, and production monitoring.
Improve software supply-chain security - Reduce risk across open-source dependencies, third-party components, third-party algorithms, container images, build systems, artifact repositories, release pipelines, and deployment processes.
Mentor and enable engineers - Help developers understand security risks, make secure design decisions, and take ownership of security in their code, services, and infrastructure.
Communicate risk clearly - Translate technical security findings into clear risk, impact, and trade-off language for engineering, product, leadership, quality, regulatory, and customer-facing stakeholders.

Required Security Operations & Automation
About Your Day-to-Day:
As a Security Operations & Automation, you'll be the hands-on architect of how we detect, investigates, and responds to threats - built around AI agents and deep tooling integrations, not manual triage. You'll own incident response across corporate systems, workstations, and identity, unify alerts from every source - including cloud-originated signals that need a response - into a single SOAR/XDR fabric, and deploy AI agents to handle first-line investigation and response.
You'll work closely with IT and the Cloud Security team - taking the lead on investigation, triage, and response while they own the underlying cloud and SDLC architecture - and turn complex security signals into structured, AI-assisted, largely autonomous outcomes - fighting fire with fire.
Responsibilities:
Architect and own our AI-driven detection and response stack, integrating SIEM, XDR, SOAR, EDR, and IAM into a single automated fabric rather than siloed tools.
Deploy and tune AI agents to handle first-line alert triage, enrichment, and investigation, with humans engaged only for true edge cases - manual L1 triage is the exception, not the default.
Build SOAR playbooks and integrations across the security and IT toolchain (endpoint, identity, ticketing, chat) so detection, enrichment, and remediation run automatically end to end - regardless of which system or platform an alert originates from.
Own the alert pipeline as a whole: unify signals from EDR, IAM, and other sources - including cloud and SaaS alerts surfaced by the Cloud Security team - into one triage and response workflow, so nothing falls through the cracks between tools.
Evaluate and integrate best-of-breed, AI-native security tools - SIEM, XDR, SOAR, EDR, email security, AI guardrails, ZTNA, and others - wiring each into the unified detection and response fabric rather than running them as siloed point solutions. Hands-on tool integration (APIs, connectors, log and telemetry ingestion) is a core skill for this role, not an occasional task.
Drive vulnerability and patch management across corporate systems and endpoints, automating prioritization and remediation workflows and coordinating with IT against strict SLAs.
Build and tune detection rules specific to our environment, treating detection as code and feeding AI-driven correlation across the XDR layer.
Maintain security dashboards (MTTD/MTTR, automation rate, % of alerts resolved without human touch) and report on how automation is cutting noise and response time.