דרושים » תוכנה » Senior Security Engineer

We're looking for a Senior Data Infrastructure Engineer to help us build the data foundation that powers everything does. You'll be joining the Data Platform team in TLV, working on the infrastructure that ingests, processes, and governs data across a growing stack of products, customers, and microservices - structured and unstructured, streaming and batch. The work you do here sits at the core of how every team makes decisions.
We believe three things matter for every role : drive to push through challenges, efficiency that keeps standards high while moving fast, and adaptability that lets you pivot with data and AI insights. These aren't buzzwords, they're how we actually work.
Our AI-first approach isn't just a tagline either. We're building the future of insurance with AI at the center, and we need people who are genuinely excited to learn and grow alongside these tools.
In this role youll:
Design and implement data solutions for all application requirements in a distributed microservices environment
Build ingestion layers and a data lake using streaming ETLs and Change Data Capture
Implement large-scale batch and streaming pipelines with modern data processing frameworks
Build pipelines and scheduling infrastructures that other teams rely on every day
Ensure data quality, compliance, and governance across entire data platform
Help shape data-mesh concepts that empower other teams to leverage data independently
Partner with Data Engineers, ML Engineers, Data Scientists, BI Engineers, and Product Managers to move fast and build right

We're looking for a Senior Principal Threat Hunter to serve as a senior technical leader within our Cyber Defense Team team.

This is a high impact individual contributor role, you won't manage people, but you'll influence how we hunt, investigate

and respond to threats across cloud and SaaS environments at scale.

You'll be the person who takes a weak signal, a piece of emerging intelligence, or an unusual customer activity pattern and turns it into a meaningful investigation, a proactive hunt, or a new detection opportunity.

You'll lead the most complex investigations, drive threat intelligence initiatives, and help define the hunting methodologies that guide our customers' security outcomes.

As one of the team's most senior practitioners, you'll act as a force multiplier across hunting, intelligence, and incident response functions, elevating technical standards, mentoring peers, and helping shape the future of our detection and response capabilities.

What You'll Do
- Design and execute proactive threat hunts across cloud and SaaS environments (AWS, Azure, GCP, Okta, M365), grounded in current intelligence and ATT&CK-mapped adversary behavior.
- Mature and operate a recurring threat intelligence reporting function, turning intel into hunt leads, detection opportunities, and customer-facing narratives.
- Lead incident response investigations during US business hours, from scoping through root cause; step into the Incident Commander role when required.
- Continuously monitor threat detections and deliver responsive services with thorough event analysis and judgement.
- Triage and investigate security alerts across cloud and SaaS environments, separating true threats from noise and surfacing detection gaps to the detection engineering team.
- Leverage automation and AI tooling to scale impact, and propose improvements for processes, workflows, products, and policies.
- PLUS: Exposure to detection engineering, tooling and automation development, or prior managed services (MSSP) experience.

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.

We're looking for a Principal Cloud Security Researcher to serve as a senior technical leader within our Research team. This is a high-impact individual contributor role -- you won't manage people, but you'll shape the direction of our entire research function, mentor researchers, and act as a force multiplier across the organization.
You'll be the person who takes a vague threat signal and turns it into a detection strategy, a published finding, or a product capability. You'll operate as a trusted deputy to the research team lead, owning the most complex and ambiguous research challenges while raising the technical bar for the team.
What You'll Do
Drive Groundbreaking Research
Own and drive our most critical research initiatives end-to-end - from initial threat hypothesis through detection logic, product integration, and external publication.
Set the technical direction for cloud threat research across AWS, Azure, and GCP, identifying emerging attack surfaces and novel techniques before they become mainstream threats.
Investigate real-world cloud and SaaS security incidents, dissecting attacker tradecraft and extracting insights that evolve our detection capabilities.
Pioneer new forensic investigation techniques and detection methodologies for cloud-native and SaaS environments - pushing the state of the art, not just following it.
Be a Voice in the Community

Represent our company as a thought leader through high-quality research publications, conference presentations (BlackHat, DEF CON, RSA, fwd:cloudsec, and similar venues), and open-source contributions.
Build and maintain our reputation as a research-driven company that advances the field - not just a vendor with a blog.
Engage with the broader security research community, fostering relationships and collaborative knowledge-sharing.
Shape the Product

Bridge research and product - translate threat findings into actionable product requirements, working closely with engineering and product teams to ensure our CDR platform stays ahead of evolving threats.
Design and develop advanced detection algorithms that directly feed into our platform, closing the gap between research insight and customer protection.
Elevate the Team
Act as the team's go-to technical authority. When researchers hit a wall on complex cloud attack chains, IAM edge cases, or detection gaps - you're who they turn to.
Mentor and grow other researchers through research reviews, pair investigations, code reviews, and by setting quality standards and methodology best practices.
Influence technical decisions org-wide - contributing to architecture, tooling, and strategic research priorities.
Step in as the research team lead's deputy when needed - driving prioritization, representing research cross-functionally, and ensuring continuity.

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.

Senior Security Engineer to act as a hands-on technical leader inside our security org, part builder, part architect, part trusted partner to R&D. You'll sit in design reviews, push back (constructively) on architecture choices, prototype the controls we're missing, and help R&D ship faster and safer.

This role suits an engineer who thinks in systems, codes when needed, and is energized by securing modern AI-driven, multi-cloud environments.

What you'll do:
Act as a security architect for new initiatives. Join design and solution-concept meetings with R&D before code is written and help shape architectures that are secure by default. Produce threat models, reference designs, and decision docs that engineers actually use.
Partner with R&D as a peer, not a gatekeeper. Embed with product and engineering teams. Translate security requirements into engineering language, and engineering trade-offs into risk language for leadership.
Own security across our multi-cloud footprint (AWS, GCP, Azure). Design and implement controls for identity, network, workload, and data protection that work consistently across environments.
Drive AI security. Build our defenses against threats specific to LLM and ML systems: prompt injection, model abuse, training-data integrity, agentic-workflow risks, MCP/tool-use exposure, secrets in prompts, and supply-chain risk in the AI stack. Help define what "secure AI development" means for us in practice.
Lead data security initiatives. Classification, encryption, key management, DLP, access governance, and data-flow mapping.
Evaluate and implement new technologies. Run POCs and deploy new tooling end-to-end. We expect you to have strong opinions on the security stack and to evolve it as the threat landscape shifts.
Write code. Automate controls, build internal tools, contribute to detection pipelines, and integrate security into CI/CD.

We are on a mission to secure the AI transformation that every company is going through, building a platform that protects organizations as they adopt AI tools at scale. This is your chance to join one of the fastest-growing areas in our company and develop technology that will define how cybersecurity operates in the AI era. You will be part of a multidisciplinary team of backend engineers, endpoint developers, AI researchers, and product experts from Israel and global acquisitions, all working together to deliver cutting-edge, end-to-end security solutions to the worlds largest enterprises.
As a Software Developer on our team, you will work across both backend services and endpoint components, designing scalable systems that connect endpoint-level data collection with cloud-based analysis and enforcement. Youll play a key role in building the agents and services that monitor and control interactions with AI tools, shaping a new category of security products that operate seamlessly across platforms and environments.
Key Responsibilities
Develop and maintain backend services alongside endpoint components for a cross-platform security platform
Design scalable systems that integrate endpoint-collected data with cloud-based processing and enforcement
Build and enhance endpoint agents responsible for monitoring and controlling interactions with AI tools (e.g., coding assistants, web-based AI services)
Implement data pipelines, policy enforcement logic, and secure data handling mechanisms across endpoint and backend layers
Collaborate with AI and product teams to deliver end-to-end solutions
Troubleshoot and resolve complex issues across distributed system and endpoint components.

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 Hyperautomation Engineer - Wayfinder MDR, you will be tasked with designing, building, and operating the automation layer that powers Wayfinder MDR. Join our Wayfinder MDR organization, an elite Managed Detection & Response service protecting some of the worlds largest and most complex environments. You will work closely with Threat Service Engineers (TSEs), SOC analysts, Threat Hunters, and R&D teams to transform manual SOC processes into scalable, reliable, and efficient automation workflows. This role focuses on engineering and automation, not alert triage. You will help shape how MDR operates at scale by reducing manual workload, improving signal-to-noise ratio, and enabling faster and more consistent threat detection and response.
What Will You Do?
Primary responsibilities include:
Design, develop, and maintain hyperautomation workflows that support alert triage, enrichment, investigation, and response.
Convert SOC playbooks, investigation logic, and threat-hunting processes into automated, production-grade workflows.
Proactively identify repetitive or high-volume SOC tasks and implement automation to improve efficiency and consistency.
Build and maintain integrations with internal platforms and third-party security tools using APIs, webhooks, and event-driven mechanisms.
Collaborate closely with Threat Service Engineers (TSEs) and SOC teams to fine-tune existing detections and automation logic.
Improve and optimize MDR operational processes to ensure fast response times and effective threat mitigation.
Own automation workflows end-to-end, including design, deployment, monitoring, troubleshooting, and continuous improvement.
Create and maintain automation playbooks, templates, and best practices to support incident response at scale.
Work closely with R&D and product teams to provide operational feedback and help shape future detection and response capabilities.