עדיין מחפשים עבודה במנועי חיפוש? הגיע הזמן להשתדרג!

במקום לעבור לבד על אלפי מודעות, Jobify מנתחת את קורות החיים שלך ומציגה לך רק משרות שבאמת מתאימות לך.

מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

Data Platform Software Engineer

PEAK- HR AS A SERVICE

תל אביב - יפו

Data Platform Software Engineer

PEAK- HR AS A SERVICE

תל אביב - יפו
25,000-40,000 ₪ (הערכה מבוססת AI)
זוהי הערכת טווח שכר מבוססת AI ולא פרסום של המעסיק

We're Hiring: Data Platform Software Engineer | Big Data • Streaming • Cloud • ML Pipelines

A fast-growing SaaS startup founded by serial entrepreneurs is building a cutting-edge platform at the intersection of cybersecurity, big data, cloud computing, and AI. With strong backing from top-tier investors, we are looking for a Data Platform Software Engineer to join our core engineering team.

What You’ll Do

Design and build scalable data platforms, pipelines, lakes, and warehouses
Develop real-time streaming data workflows using Kafka, Flink, Spark Streaming
Optimize SQL, NoSQL, Graph, and NewSQL databases for scale and performance
Collaborate on machine learning pipelines, LLM integration, and RAG pipelines
Ensure data security, governance, and encryption across cloud environments (AWS, GCP, Azure)
Work with microservices, Kubernetes, Terraform, CI/CD in a distributed system

What We’re Looking For

5+ years in software engineering with a focus on big data systems
Proven background in backend development and data modeling
Hands-on with streaming technologies (Kafka, Flink, Spark Streaming)
Experience with BigQuery, Redshift, Snowflake, Databricks
Familiarity with microservices, Kubernetes, Terraform, CI/CD – advantage
A self-starter with vision, eager to tackle complex problems at scale

Why Join Us?

Impact: Build a world-class data platform from the ground up
Innovation: Work on challenges in big data, streaming, cloud, ML, and cybersecurity
Growth: Join the founding engineering team of a hyper-growth SaaS startup

👉 Ready to shape the future of data-driven platforms? Join us and build at scale.