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.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

הרצליה

חברה בתחום הייטק / חומרה / תוכנה / סייבר

הרצליה
מלאה
22,000-32,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
הערכה מבוססת AI ולא שכר של המעסיק

Were looking for a senior‑level Data Platform Solutions Engineer who is both data‑savvy and customer‑focused. In this role youll help our customers run large‑scale data and AI workloads, tackling technical challenges across modern data environments. Youll blend deep troubleshooting expertise with tool‑building and solution design, while partnering closely with our teams and customers to ensure successful deployment and operation of our data‑platform offerings-both on‑premises and SaaS.
You will:
Assist customers with complex data‑lake and AI workloads on our data platform.
Diagnose and remediate high‑severity, multi‑layer issues spanning infrastructure, Kubernetes, data engines, storage, and networking.
Create and refine tools, automation, and solutions that boost environment stability and operational efficiency.
Deliver architectural guidance and configuration best practices to enhance performance, scalability, and resiliency.
Serve as the technical liaison among Customer Support, Product Management, and R&D, turning customer insights into product enhancements.
Take the first step towards your dream career
Job ID:R285903.

Requirements:
Essential Requirements:
Data & Platform Engineering: 4+ years of experience working with data platforms, developing Python-based tools, automation, or data pipelines for managing complex datasets and workflows.
Databases: Strong hands-on experience with relational databases (SQL) and NoSQL technologies such as MongoDB, including performance tuning.
Cloud-Native & Kubernetes: Experience deploying and operating containerized workloads on Kubernetes in hybrid or multi-cloud environments.
Data Pipelines: Experience building, maintaining, or supporting scalable ETL/ELT pipelines and data processing solutions.
Observability & Troubleshooting: Experience with monitoring and log platforms (ELK, Splunk) and troubleshooting complex production environments, preferably in customer-facing contexts.
Desirable Requirements:
Experience with Starburst or Trino (highly preferred).
Strong verbal and written English communication skills for global collaboration.

This position is open to all candidates.