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our Infrastructure and Cloud team is looking for a highly technical Network Engineer II to drive innovation, scale, and operational excellence for the globally distributed CDN. As the Network Engineer, you are responsible for planning, configuration, management, and support of the hardware and software of the Global Thales/DDoS mitigation network. You will work to improve the overall availability, reliability, performance, security, and scale of the network for Thales/customers.
Key Areas of Responsibilities:
Support 60 PoP Global DDoS Anycast Network
Ownership mindset of network deliverables of scale, performance, and availability Focus on operational excellence, SLI/SLO Network Monitoring and Alerting Escalations, incident response, RCA, and postmortems Participate in 24x7 on-call rotation Collaborate product development teams and customer service teams to provide an exceptional customer experience Define strategies, roadmap, and architectures for evolving & scaling network technologies to meet business needs in a flexible and agile manner

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.

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.

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