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We are looking for a bright and passionate C /C++ Developer - Networking & Real-Time Systems to join our Elastic WAF team, located in our office in Rehovot.
The team is responsible for developing the core features and capabilities of WAF product, delivered both as SaaS and on-premises solutions. As a developer, you will be part of a team building a high-performance, real-time security system, leading technology initiatives, and projects end-to-end while maintaining high-quality standards.
You will be involved in high-impact projects and gain deep expertise in network traffic inspection, real-time request processing, and large-scale production systems.
Key Responsibilities:
Design, implement, and optimize high-performance, low-latency WAF components.
Work on real-time traffic inspection and request processing pipelines.
Own your code - from design to production, including debugging and handling live issues.
Analyze and improve performance, memory usage, and system scalability.
Research and integrate new technologies into the product.

We are looking for an Experienced Data Scientist - Data Security.
This role combines hands-on research, large-scale production systems, and close collaboration with engineering teams. The work focuses on solving real-world cybersecurity and data security challenges using modern AI approaches, including document understanding, semantic classification, LLM pipelines, and compound AI systems.
About the Team:
Our Threat Research group is composed of elite researchers and developers. We research applications, DDoS, and database attacks, develop algorithms for products, and drive innovation and thought leadership in cybersecurity. The team also develops advanced AI-driven capabilities for Data Security use cases, operating at large production scale across enterprise environments.
Key Responsibilities:
Design and develop NLP and LLM-based solutions for document understanding and sensitive data classification.
Drive projects from research and prototyping to production deployment.
Work closely with engineering teams to integrate and promote models within large-scale ML pipelines.
Improve model quality, scalability, latency, and reliability.
Design evaluation and monitoring frameworks for production AI systems.
Ensure AI models are reliable, scalable, and production-ready for enterprise security environments.

Were looking for a Security Response Engineer with strong expertise in Web Application security to join our Advanced Security Response Team (ASRT).
The Advanced Security Response Team is dedicated to the first response for security incidents, focusing primarily on the operational aspects of web application security. This includes analyzing threats, suggesting immediate remediation and mitigation methods, and actively working to block attacks in real time.
The scope of activities spans network layers 3, 4, and 7, covering a broad spectrum of threats. This includes defending against DoS & DDoS attacks, brute-force attempts, scraping, filtering unwanted traffic, as well as initial analysis and mitigation of application attack vectors such as XSS, SQL injection (SQLi), and remote code execution.
Another important responsibility of the ASRT is managing false positives. The team will investigate root causes of these misfires, propose optimal solutions to prevent recurrence, and apply necessary changes.
The ASRT works closely with the first-tier support team, serving as the focal point for security-related events and incidents. Additionally, the team maintains a two-way communication channel with the Threat Research team to share findings, exchange consultation, and stay updated on current security policies.
As a member of the ASR team, the specialist is expected to have a strong working knowledge of web application security and the current threat landscape, combined with in-depth familiarity with security policies and processes. Proficiency with relevant tools and methodologies is required, and continuous learning in security-related topics is encouraged.
This is a full-time position that requires weekend availability and participation in a rotating weekend shift due to the real-time nature of security response.
Key Responsibility:
Investigate and respond to active web and network-based security incidents in real time.
Apply and validate mitigations for attacks such as SQLi, XSS, and DDoS.
Troubleshoot false positives and fine-tune security policies.
Collaborate with internal teams to share findings and continuously improve detection and response.
Clearly explain security events and impacts to both technical and non-technical audiences.
Stay up to date on emerging web attack techniques and response methods.
Participate in a rotating weekend/on-call schedule to ensure 24/7 protection for our customers.

we are a leading SaaS and FinTech platform transforming how real estate investment firms manage their capital, investors, and operations. Trusted by 700+ GPs, owners/operators, and investment firms globally, we help teams streamline the full lifecycle of investment management-from fundraising and onboarding to reporting, distributions, tax, and back-office automation. But were more than just software. Were a team of bold thinkers, innovators, and real estate enthusiasts who believe complex processes should feel simple. Our platform combines modern technology with expert services, helping our customers raise more capital, deliver a better investor experience, and scale their businesses smarter. we are backed by top-tier VCs like Insight Partners and Qumra Capital, and were growing fast. Weve been named one of Globes Most Promising Startups, recognized as a Best Start-Up Companies to Work For by Duns 100, and one of Business Insiders Hottest PropTech Startups About the role: As a Sales Development Representative at our company, you'll be on the front line of prospect outreach with the goal of generating qualified opportunities for our sales team. In this role, you will develop and own the "top-of-funnel" through outbound prospecting (cold calling, emailing, and social channels). You will be expected to quickly and effectively communicate our value proposition, respond to objections, and speak confidently to industry trends. Were looking for someone who is fully proficient in both English and Spanish, with strong business communication skills in both languages. What your day would look like: Prospecting Expertise: Dive into the strategic identification and enrichment of a prospect list tailored to our Ideal Customer Profile (ICP), ensuring a pipeline of qualified leads ready for engagement. Dynamic Multi-Channel Outreach: Engage with prospects through a seamless blend of phone, email, and LinkedIn interactions. Your mission is to spark interest, build relationships, and set the stage for meaningful conversations. Collaborative Partnership: Join forces with our sales team in meetings you've scheduled, playing a critical role in facilitating discussions and moving prospects through the sales funnel. Inbound Lead Engagement: Proactively reach out to inbound leads who have shown interest in our services by filling out forms or expressing curiosity. Your adeptness in quickly connecting and assessing their needs is vital for turning interest into actionable sales opportunities. Skill Enhancement: Participate in ongoing training and coaching sessions, embracing opportunities to refine your techniques and strategies in sales development, ensuring peak performance and continuous growth in your role
Equal opportunity:
our company Software is an equal opportunity employer. Consistent with our mission of serving a diverse and global audience, we value a diverse workforce and inclusive culture which reflects that. We encourage applications from all qualified individuals without regard to race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, and veteran status. Please note that we use Spark Hire as part of our hiring process to review and assess job applications and related materials. This tool helps us screen applications more efficiently and ensure candidates meet the role requirements. As part of this process, well handle your personal information in accordance with our Candidate Privacy Notice. You can review details here: our company Candidate Privacy Notice If you have any questions, feel free to reach out to us

Were looking for a Senior Software Engineer to join Data Infrastructure team, building the systems that power our Application Security platform at scale.
In this role, you will design and develop the data backbone that processes billions of security events daily, enabling real-time protection, analytics, and insights for the worlds largest enterprises.
develops cybersecurity solutions that protect critical applications, APIs, and data across cloud and hybrid environments. Our platform operates at massive scale, handling high-volume, low-latency data streams with strict reliability and performance requirements.
Fortune 500 companies rely on to secure their most asset - data.
Our stack includes AWS, Kubernetes, Kafka, Spark, RDS, OpenSearch, and Java/Spring Boot, alongside real-time components built with Go, C, and Linux.
About the Role:
As a Senior Platform Engineer on the Data Infrastructure team, you will build and evolve large-scale data systems that ingest, process, store, and serve security data across multiple products.
You will take ownership of core data services and pipelines, working on both real-time and batch processing systems. This includes improving scalability, optimizing performance, and ensuring high availability of critical data flows.
You are a hands-on engineer who enjoys solving complex data challenges and working with distributed systems at scale.
Key Responsibilities:
Design, build, and maintain scalable data pipelines (real-time and batch)
Develop and optimize systems for high-throughput, low-latency data processing
Work with streaming technologies (e.g., Kafka) and processing frameworks (e.g., Spark, Flink)
Design and manage data storage solutions across relational, NoSQL, and search systems
Improve data reliability, consistency, and observability across the platform
Collaborate with product teams to enable data-driven features and analytics
Troubleshoot and resolve complex production issues in distributed data systems
Continuously improve system performance, scalability, and cost efficiency
Contribute to architectural decisions within the data infrastructure domain