4 дня назад
Senior Software Engineer (DataOps)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Software Engineer (DataOps): Building and optimizing Matia’s unified DataOps platform with an accent on scalable services, data-intensive systems, and reliable asynchronous pipelines. Focus on designing distributed systems, scaling high-throughput SaaS infrastructure, and solving complex production reliability challenges.
Location: Ramat Gan, Israel, hybrid; walking distance from both train stations
Company
builds a unified DataOps platform for data ingestion, reverse ETL, observability, and data cataloging.
What you will do
- Design, develop, and maintain scalable, reliable code for the DataOps platform.
- Own core features and services from conception through completion with minimal oversight.
- Build and optimize high-performance, data-intensive systems and asynchronous data pipelines.
- Troubleshoot complex technical issues across development and production environments.
- Mentor junior engineers and provide technical leadership across projects.
- Collaborate with Product, Design, and other cross-functional teams to deliver robust technical solutions.
Requirements
- 5+ years of software development experience, including 2+ years in a Senior or Lead role owning mission-critical systems.
- Strong hands-on expertise in TypeScript, Node.js, React, and Python.
- Deep understanding of high-performance SQL and NoSQL database design.
- Experience architecting and scaling high-throughput SaaS platforms or complex data-intensive systems.
- Experience building reliable asynchronous data pipelines with Kafka, SQS, or RabbitMQ.
- Hands-on Kubernetes and cloud-native deployment experience, plus strong mentoring and communication skills.
Nice to have
- Experience at a data-centric company working with ETL/ELT, reverse ETL, observability, or data cataloging.
- AWS expertise.
Culture & Benefits
- Hands-on engineering work focused on solving complex technical problems.
- Opportunity to influence the future of a DataOps product.
- Collaboration across Engineering, Product, Design, and other functions.
- Hybrid work from the Ramat Gan location.
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