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.
מלאה
Required Data Team Lead
About the Team
The ML DataOps team is building cutting-edge data infrastructure to enable machine learning teams to utilize high-quality, real-time data at scale. Our team plays a critical role in enabling ML innovation by developing and maintaining a robust feature store, one of the top-selling products within our group.
We specialize in building scalable and reliable feature platforms that support:
Batch processing for large-scale analytics
Streaming pipelines for real-time feature availability
Streaming aggregation, a particularly challenging engineering problem that we have successfully tackled to ensure low-latency, high-accuracy and efficient ML workflows
Our work requires deep expertise in distributed systems, data engineering, and real-time processing, as well as the ability to deliver at high velocity while maintaining high quality. We are continuously improving our infrastructure to support the most demanding ML workloads.
As a Team Lead you will...
Lead and mentor a growing team of skilled data oriented engineers.
Own the execution and delivery of the teams roadmap, ensuring high-quality and timely releases.
Work closely with Product, ML, and other engineering teams to align priorities and technical requirements.
Build the infrastructure that enables customers to optimize large-scale batch & streaming data pipelines for ML workloads.
Develop solutions for real-time data processing, analytics, and data consistency.
Maintain and evolve our Feature store, ensuring reliability and scalability.
Define and enforce coding standards, methodologies, and technical direction for the team.
Proactively identify opportunities for improvement in workflows, architecture, and team processes.
About the Team
The ML DataOps team is building cutting-edge data infrastructure to enable machine learning teams to utilize high-quality, real-time data at scale. Our team plays a critical role in enabling ML innovation by developing and maintaining a robust feature store, one of the top-selling products within our group.
We specialize in building scalable and reliable feature platforms that support:
Batch processing for large-scale analytics
Streaming pipelines for real-time feature availability
Streaming aggregation, a particularly challenging engineering problem that we have successfully tackled to ensure low-latency, high-accuracy and efficient ML workflows
Our work requires deep expertise in distributed systems, data engineering, and real-time processing, as well as the ability to deliver at high velocity while maintaining high quality. We are continuously improving our infrastructure to support the most demanding ML workloads.
As a Team Lead you will...
Lead and mentor a growing team of skilled data oriented engineers.
Own the execution and delivery of the teams roadmap, ensuring high-quality and timely releases.
Work closely with Product, ML, and other engineering teams to align priorities and technical requirements.
Build the infrastructure that enables customers to optimize large-scale batch & streaming data pipelines for ML workloads.
Develop solutions for real-time data processing, analytics, and data consistency.
Maintain and evolve our Feature store, ensuring reliability and scalability.
Define and enforce coding standards, methodologies, and technical direction for the team.
Proactively identify opportunities for improvement in workflows, architecture, and team processes.
Requirements:
3+ years of experience as a Software Engineering Team Lead, with proven hands-on experience.
Excellent communication skills, with the ability to articulate complex ideas clearly and concisely.
A broad mindset, capable of understanding technical, product, and business perspectives.
A proactive, initiative-driven approach, able to identify and solve problems independently.
Strong familiarity in streaming/batch processing frameworks (e.g., Apache Spark, Flink).
Working knowledge of message brokers (e.g., Kafka, RabbitMQ).
Hands-on experience with Python and Java.
3+ years of experience as a Software Engineering Team Lead, with proven hands-on experience.
Excellent communication skills, with the ability to articulate complex ideas clearly and concisely.
A broad mindset, capable of understanding technical, product, and business perspectives.
A proactive, initiative-driven approach, able to identify and solve problems independently.
Strong familiarity in streaming/batch processing frameworks (e.g., Apache Spark, Flink).
Working knowledge of message brokers (e.g., Kafka, RabbitMQ).
Hands-on experience with Python and Java.
This position is open to all candidates.
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.
תל אביב - יפו
