Required Principal Backend Data Management Engineer
The Software Engineering team delivers next-generation application enhancements and new products for a changing world. Working at the cutting edge, we design and develop software for platforms, peripherals, applications and diagnostics - all with the most advanced technologies, tools, software engineering methodologies and the collaboration of internal and external partners.
Join us to do the best work of your career and make a profound social impact as a Principal Backend Data Management Engineer on our Software Engineering Team in Glil Yam- Herzliya.
What youll achieve
As a Senior Backend Engineer in the Data Management team, you will be instrumental in developing the core of our AI and data platform. You will design, develop, and maintain robust, high‑performance, and scalable backend services that support data‑driven and AI‑based solutions.
You will take part in solving complex technical challenges, optimizing system efficiency, and contributing to key architectural decisions that will shape the future of our platform. This role combines hands‑on backend development, deep problem‑solving, and close collaboration with cross‑functional teams.
You will:
Design, develop, and maintain scalable backend services for AI and data platforms
Contribute to architecture and design decisions for distributed and high‑scale systems
Build and maintain microservices and event‑driven systems
Work with SQL and NoSQL databases to support data‑intensive workloads
Debug, monitor, and improve production systems for performance and reliability
Application closing date: 03 March 2026
Job ID:R285525.
Requirements: Essential Requirements
BSc in Computer Science or equivalent with 7+ years of backend development experience, primarily using Node.js (TypeScript)
Strong experience designing and building scalable, high‑performance backend systems based on microservices and distributed architectures
Extensive hands‑on experience with SQL databases (e.g., PostgreSQL, MySQL, SingleStore) and message brokers such as Kafka and RabbitMQ
Proven experience working in cloud environments (AWS, GCP, Azure), including containerization and orchestration technologies (Docker, Kubernetes)
Desirable Requirements
Background in data engineering with experience in Big Data environments and NoSQL databases (e.g., MongoDB, Cassandra)
Familiarity with TDD and CI/CD practices, with experience using Python for backend services.
This position is open to all candidates.