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

תל אביב - יפו

חברה בתחום הייטק / חומרה / תוכנה / סייבר

תל אביב - יפו
מלאה
35,000-55,000 ₪ (הערכה מבוססת AI)
הערכה מבוססת AI ולא שכר של המעסיק

We are seeking a highly skilled and experienced Senior Software Engineer to join our backend team. The ideal candidate will have a strong background in distributed systems, data engineering and software engineering, and will be responsible for leading the design, development, and deployment of top quality data pipelines, data lake and an ML feature platform.

What you'll be doing:
System Design and Architecture: Develop and maintain robust, scalable, and efficient distributed systems and data pipelines to help build the new generation of ironSource's ML feature platform.
Research and Innovation: Stay current with the latest advancements in machine learning data pipelines, feature stores, and apply innovative techniques to improve data aggregations, monitoring, cleaning & filtering and preparing for ML training.
Cross-Functional Collaboration: Work closely with data scientists, software engineers and product managers to build the data lakes and data pipelines.

Requirements:
What we're looking for:
Proficiency in programming languages such as Scala/Java.
Hands on experience in streaming technologies (Kafka, Kinesis, SQS).
Experience with key-value and distributed Data bases such as Redis, Aerospike andCassandra.
Experience in big data processing frameworks such as Apache Spark, Trino, Flink.
Data Lake management knowledge: table formats (Iceberg, Delta). Data-warehouses (Redshift, Big Query, Snowflake).
Proficiency with cloud platforms such as AWS, and experience with containerization technologies like Docker and Kubernetes.

You might also have:
experience with ML frameworks such as TensorFlow, PyTorch.
experience with high scale distributed systems.
MLOps systems - Model registry, Experiment Tracking, Feature Store management (Feast, Tecton), Workflow management (Kubeflow, Airflow).

This position is open to all candidates.