Responsibilities
- Design, implement, and test backend services that process massive data volumes with high throughput and reliability.
- Build and maintain distributed, scalable, and fault-tolerant systems.
- Work hands-on with big-data and streaming technologies.
- Collaborate with development teams and Product Managers to translate business needs into performant, scalable architectures.
- Perform design and code reviews and uphold engineering standards.
- Optimize system performance, reliability, and observability.
- Evaluate technologies, run benchmarks, and help redesign major parts of the data backend.
Requirements
- Bachelor’s degree in Computer Science or a related degree.
- 5+ years of hands-on backend engineering experience.
- Strong programming skills; Java and C# are listed as advantages.
- Experience with distributed systems and/or large-scale data processing.
- Knowledge of databases, including SQL and NoSQL, caching, Kubernetes, and Docker.
- Experience with cloud environments; Azure is listed as an advantage.
- Azure Data Explorer database experience is listed as an advantage.
- Experience using AI-assisted coding tools effectively.
- Strong ownership, attention to quality, collaboration, and problem-solving skills.
Benefits
- Flexible hybrid work model.
- Role based in the Herzliya office in Israel.
About Varonis
Varonis unifies AI-native data security, AI security and governance, and behavior-based threat detection. Core offerings include the Varonis Data Security Platform for AI-native data security, Varonis Atlas for safe and trustworthy AI, Varonis Next-Gen DAM for database security, and Varonis Interceptor for preventing AI-powered social engineering threats. Backed by 24×7×365 expert-led detection and response, Varonis enables organizations to confidently adopt AI, reduce data exposure, and simplify security operations in an evolving threat landscape. Trusted by thousands of leading global enterprises, Varonis is the partner security teams rely on to automatically and effortlessly protect their most critical data and safely accelerate AI innovation.