דרושים » אבטחת מידע וסייבר » Research Software Engineer

As a Senior Software Engineer, you will be responsible for designing and building core backend services and product capabilities, working on scalable systems that handle large volumes of security-related data, and developing robust features that improve security posture in cloud environments.

The ideal candidate will have strong software engineering foundations, a product-minded approach, and experience building distributed systems in production.

You will collaborate closely with Product, Research, and Engineering teams to deliver secure, performant, and reliable solutions end-to-end.

You will work within the engineering department, contributing to architecture decisions, improving code quality, scalability, and reliability, while maintaining strong ownership over development and delivery in a fast-paced environment.

Responsibilities
Design, develop, and maintain high-scale backend services and APIs.
Build features that identify and prevent cloud misconfigurations and security risks.
Write clean, maintainable, and testable code with high engineering standards.
Participate in system design and architecture discussions (scalability, reliability, performance).
Collaborate with Product, Research, and other engineering teams to define and implement end-to-end solutions.
Optimize performance and improve system reliability, monitoring, and observability.
Take ownership over services in production, including troubleshooting and incident resolution.
Contribute to engineering best practices: code reviews, technical documentation, CI/CD improvements.
Support and mentor other engineers, helping grow the teams technical excellence.

We are looking for a talented Cloud Security Researcher to join our team in Israel. In this role, you will focus on hands-on research of cloud security risks, analyze misconfigurations, and translate findings into impactful product capabilities.

You will work closely with Research, Engineering, and Product teams to ensure that your research directly contributes to securing cloud environments at scale. This is a highly technical role suited for someone who enjoys deep diving into cloud systems, understanding how things work, and helping build solutions that prevent it.

Responsibilities
Conduct cloud security research focusing on misconfigurations, IAM risks, and cloud attacks.
Investigate real-world attack vectors and security gaps in cloud environments.
Design and prototype preventative security mechanisms and controls.
Translate research insights into product features, policies, and detection capabilities.
Work with Solution Engineering and occasionally customers to understand real-world use cases and validate findings.
Analyze complex cloud architectures and identify scalable security improvements.
Take ownership of research tasks from exploration to delivery.
Contribute to internal knowledge sharing and cloud security best practices.

We are looking for a Software Engineer to join the Research & Infrastructure team in our Security Research group.
You'll build the systems behind our security research and help turn that research into product capabilities. You'll work closely with researchers across the group to understand what they need, and you'll own each solution from requirements and architecture through implementation and delivery.
Our team builds platforms for threat intelligence, malware hunting and attack analysis, along with scalable pipelines for processing large volumes of data. AI tools are part of how we design, build, test and research every day.
Responsibilities:
Own the full development lifecycle of systems and applications: gather requirements, define technical specifications, design the architecture, and build backend services and web interfaces.
Build threat intelligence, malware hunting and attack analysis platforms that support our security operations and its Managed Threat Detection & Response (MDR) service.
Build tools that let researchers investigate threats, develop security content and create detection signatures.
Design the workflows and infrastructure that bring research outputs into our customer-facing products.
Build scalable data processing and analysis solutions on the Cloud data warehouse, automate protocol analysis, and integrate with internal and external services.

We are looking for a strong team player with a high sense of ownership, a "get-things-done" mindset, and the willingness to contribute across all areas of development - from UI and backend to data and detection pipelines.
Major Responsibilities
Develop new features and capabilities for our company's Gen AI Security SaaS product, with a focus on backend services and real-time detection & prevention pipelines
Develop SaaS product capabilities such as prompt-injection and jailbreak detection, content moderation, PII and data-leakage prevention, policy and practice management, and other customer-facing platform features
Contribute to our native inspection agent that runs close to customer traffic
Contribute to the platform's ML pipeline, including data collection and feature engineering that support the platform's detection models
Work with cloud services, CI/CD pipelines, monitoring, logging, and automation tools
Take end-to-end ownership of features, from design and implementation through deployment, observability, support, and production operation
Build and maintain dashboards, alerts, and operational tools, using data and metrics to improve reliability, performance, and product decisions
Collaborate closely with developers, DevOps engineers, product managers, security researchers, support teams, and other stakeholders
Support production environments, investigate customer issues, and understand the real-world impact of features, bugs, and infrastructure changes.

Here at our company, we're looking for an innovative, experienced Software Developer with rich experience in web technologies and a strong foundation in modern AI development, who is comfortable with both frontend and backend programming.
As a developer in the Cyber Security Protection area, you will be responsible for agile product development from concept to deployment. You will maintain the operational workflow of critical platforms while integrating autonomous AI systems that impact multiple product services, leading our companys security offering.
You will practice the most advanced client and server-side techniques, alongside cutting-edge AI frameworks, to design and implement both internal and external solutions.
Key Responsibilities
End-to-end backend and frontend development of essential, fast-growing platforms.
Develop and integrate knowledge-based, agentic AI systems capable of reasoning over security data and executing tools autonomously.
Rapidly deliver high-quality, efficient, and productive solutions for internal and external applications.
See through a project from initial plan to completed product, including multi-agent infrastructure orchestration.
Ensure ongoing operation and responsiveness of high-impact applications.
Investigate, implement, and share new technologies (such as LLMs) and ideas to improve scale and performance
Be part of an organic Scrum team developing in a fast-paced environment based on CI/CD.

We are looking for an experienced Security Research Team Lead to join our R&D organization and lead a team of attack-oriented security researchers. You will set the research direction across multiple domains, from Windows internals and kernel-level security to cloud platforms, web technologies, and AI, ensuring your team stays one step ahead of real threat actors.
Your team's research and attack methodologies will feed directly into our automated attack platform, enhancing its capabilities with new offensive techniques and AI-powered decision-making algorithms.
Roles and Responsibilities:
Lead, mentor, and grow a team of security researchers, setting priorities and driving execution.
Define the team's research roadmap across areas such as AV/EDR evasion, binary exploitation, vulnerability discovery, and subversion of communication channels across OS-level, domain, cloud-native, and external surfaces.
Accompany hands-on research alongside the team, maintaining deep technical credibility.
Collaborate with product and engineering teams to translate research outputs into production-grade attack functionalities within our automation ecosystem.
Drive the integration of AI-driven decision-making into the platform's automated operations.
Foster a culture of innovation, knowledge sharing, and continuous learning within the team.
Represent the research function in cross-team planning, roadmap discussions, and stakeholder alignment.

We're looking for an exceptional Senior Software Engineer to join the team building our Endpoint Agent.

This team builds the software that runs directly on our customers' endpoints. It's a highly technical role focused on low-level systems programming and building reliable, production-grade software.

You'll work on an endpoint agent written primarily in Rust, building capabilities that run directly on customer devices. This is desktop software that lives inside the operating system, making it one of the most visible and critical parts of our product.

If you enjoy understanding how operating systems work, writing efficient systems code, and solving hard engineering problems close to the OS, this is a rare opportunity to do that in one of the fastest-growing cybersecurity startups.

What Youll Do

Design and build core capabilities for our Endpoint Agent.

Develop high-performance software in Rust and C++ that runs directly on customer endpoints.

Build features that interact closely with Windows and macOS internals.

Work across backend services and endpoint components to deliver end-to-end functionality.

Partner closely with Product, Security Research, and Platform Engineering to bring new capabilities to customers.

Build reliable, production-grade software with performance, stability, and security in mind.

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 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 Principal Cloud Security Researcher with a strong security background to join our innovative Research team.

EDR protects the endpoint. our company protects everything else, anticipating and disrupting active attacks across the modern stack and stopping them before they reach the business.

our company is the leader in Zero-Impact Breach Prevention, delivered through Agentic Runtime Security for the modern infrastructure - cloud, SaaS, identity, and AI. By delivering the runtime detection and response that security teams already rely on for endpoints, extended to the infrastructure endpoint tools cant see, our company provides Zero-Impact Breach Prevention, in runtime.

The Role

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.