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Careers

Join KELA
& Shape the Future of
Cyber Threat Intelligence

Senior Backend Engineer

Engineering
Tel Aviv-Jaffa, Tel Aviv District, Israel (Hybrid)
Description

KELA is looking for a highly motivated Senior Backend Engineer to join our engineering team in building our product.

Our engineering team is small enough that you can have a significant impact on both the product and the company. As a Senior Backend Engineer, you will play a critical role in designing, developing, and optimizing our large-scale backend systems and complex data collection pipelines.

We work with massive amounts of data at high scale, using a microservices architecture to ensure scalability, reliability, and flexibility. You’ll be tackling challenging engineering problems while shaping our architecture for performance and long-term growth.

Technology Stack:

C#, TypeScript (NestJS / NodeJS), MongoDB, Elasticsearch, MySQL, Kafka, RabbitMQ, Docker, Kubernetes, AWS, and more.


About the position

  • Work as part of a team to design, build, and maintain high-performance backend services in a microservices environment.
  • Take ownership of complex features and systems, from design through implementation.
  • Optimize data collection pipelines and backend systems for scalability and efficiency.
  • Continuously learn, evaluate, and adopt new technologies and methodologies to improve our products and architecture.
Requirements

Requirements

  • At least 4 years of relevant experience as a backend engineer.
  • Strong experience with an object-oriented programming language (C#, Java, etc.).
  • Proven experience building and maintaining microservices-based architectures.
  • Solid understanding of backend architectures, distributed systems, and data handling at scale.
  • Sense of ownership, responsibility, and the ability to work well in a team.
  • Excellent communication skills.

Advantages

  • Experience with cloud environments (AWS preferred).
  • Hands-on with Kubernetes and containerized deployments.
  • Experience with data collection pipelines or large-scale data systems.
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