Senior Backend Software Developer

Radware is a global leader of cyber security and application delivery solutions for physical, cloud, and software defined data centers.

At Radware, we live and breathe cybersecurity. It is our passion. Each day, our international team works to earn the trust of more than 12,500 organizations around the globe. Keeping them safe is our mission. To that end, we go head-to-head with politically motivated hacktivists, dangerous nation-state threat actors and other notorious cyber attackers -these are not your average adversaries. Backed by nearly 30 years of experience, Radware is best known for its technical excellence and innovative network and application security solutions. That is why it is so important that we build our team with bold and bright talent.

As a global leader in Cloud and Cybersecurity services, Radware is seeking a highly skilled and motivated Back-End Software Developer to join one of our fast-growing, forward-thinking development teams.

What is the job:

Our Cloud team is responsible for developing and maintaining the core services that orchestrate, monitor, and analyze Radware's attack mitigation and cloud cybersecurity solutions.

The application includes robust analytics, operational dashboards, and advanced forensics and reporting tools—providing deep visibility and control for our customers.

What you need:

• 3+ years of experience in back-end and infrastructure development using Java
• Strong understanding of architectural patterns, including microservices
• Experience integrating AI/LLM-based capabilities into backend services and development workflows
• Hands-on experience managing infrastructure in GCP
• Experience with Kubernetes (K8s)
• Familiarity with tools and technologies such as:
• Elasticsearch ,ClickHouse ,mongoD
• Kafka or other messaging platform,
• Redis / Ignite or other caching servers
• Monitoring and observability solutions
• Experience working in Agile development environments
• Strong problem-solving ability and a "Can-do approach"
• Excellent communication and interpersonal skills
  
  

• Experience with FE development such as React
• Experience with CI/CD pipelines for automated testing and deployment
• Strong grasp of system design principles and architecture reviews
• Experience with high-scale, distributed systems
• Familiarity with AI/LLM ecosystems, including model integration, prompt orchestration, and scalable AI service architecture