Senior Software Engineer (Java/Cloud Security)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Senior Software Engineer (Java/Cloud Security): Designing and developing large-scale backend systems and data pipelines for a cloud-native SASE platform with an accent on processing massive volumes of security data and AI-driven capabilities. Focus on building scalable microservices, optimizing data-intensive architectures, and ensuring high reliability for enterprise-grade security products.
Location: Tel Aviv District, Israel
Company
provides a global cloud service that converges enterprise networking and security into a single SASE platform.
What you will do
- Design and develop scalable backend services and data-intensive applications.
- Build and maintain large-scale data pipelines to process and analyze massive volumes of security data.
- Own features end-to-end, from initial architecture and implementation to production deployment.
- Collaborate with Product Management, Data Science, SOC, and Automation teams to deliver new capabilities.
- Implement enterprise-grade platform solutions with a focus on scalability, reliability, and performance.
- Research and adopt new technologies to improve AI-driven security products and analytics.
Requirements
- 6+ years of backend development experience using Java.
- Strong experience building high-scale SaaS microservices in production.
- Experience designing and developing data-intensive backend systems and large-scale data pipelines.
- Proficiency with relational and NoSQL databases (PostgreSQL, MySQL, MongoDB, Redis, etc.).
- Experience working with distributed systems and high-volume data processing.
- B.Sc. in Computer Science or equivalent.
Nice to have
- Experience with Data Engineering technologies such as Kafka, Spark, Airflow, or Flink.
- Experience working on large-scale analytics, monitoring, or data platforms.
- Proficiency with AWS and cloud-native technologies.
- Experience designing or developing security products.
- Experience with AI/ML infrastructure or integrating AI capabilities into backend systems.
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