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Senior Fullstack Engineer
·Israel
HybridFull-timeBackend DevelopmentSoftware Development
Seeking a Senior Fullstack Engineer to design, build, and optimize a DataOps platform. You will lead feature development, mentor engineers, and drive technical excellence in a hybrid role based in Ramat Gan, Israel. The company provides a unified data management platform trusted by data teams at leading companies.
Responsibilities
- Design, develop, and maintain scalable and reliable code for the DataOps platform, ensuring high performance, security, and scalability.
- Lead the development of core features and services from conception to completion with minimal oversight.
- Mentor junior engineers, share knowledge and best practices, and provide technical leadership across projects.
- Champion continuous improvement efforts to ensure systems are adaptable to evolving business needs.
- Troubleshoot and resolve complex technical issues in both development and production environments.
- Collaborate with cross-functional teams to translate requirements into robust technical solutions.
Requirements
- 5+ years of software development experience, including 2+ years in a Senior or Lead role owning delivery of mission-critical systems.
- Proven exceptional proficiency in TypeScript, Node.js, React, Python, and deep understanding of high-performance SQL/NoSQL database design.
- Proven track record of architecting and scaling high-throughput SaaS platforms or complex, data-intensive systems with a focus on reliability and maintainability.
- Experience building reliable, asynchronous data pipelines using message brokers like Kafka, SQS, or RabbitMQ.
- Hands-on experience with Kubernetes and cloud-native deployments; AWS expertise is an advantage.
- Demonstrated ability to mentor junior engineers and provide technical leadership.
- Strong team player with excellent communication skills and ability to collaborate effectively with cross-functional teams.
Nice to have
- Previous experience at a data-centric company (e.g., ETL/ELT, Reverse ETL, Observability, or Data Cataloging).
- Hands-on experience with Kubernetes and cloud-native deployments; AWS expertise is an advantage.