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
We are looking for a strong team lead to head our Runtime team and help drive forward our MLOps domain in a fast-paced startup environment. The Runtime team focuses on developing and optimizing our AI/ML infrastructure, ensuring models are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines.
As a key member of our growing team, you will tackle interesting and meaningful challenges while contributing to our evolving MLOps ecosystem.
Responsibilities:
Take a significant part in shaping our cross-company engineering culture.
Lead and mentor a growing team of skilled engineers.
Maintain and evolve our Runtime team products, ensuring reliability and scalability.
Own the execution and delivery of the teams roadmap, ensuring high-quality and timely releases.
Work closely with product, data, infrastructure, and other engineering teams to align priorities and technical requirements.
Build and develop a full hosting system, with various types of inference, analytics, monitoring, distributions and more, that enables customers to run large-scale realtime/batch/streaming pipelines for ML workloads.
Define and enforce coding standards, methodologies, and technical direction for the team.
Proactively identify opportunities for improvement in workflows, architecture, and team processes.
Improve the efficiency, scalability, and stability of various system components.
As a key member of our growing team, you will tackle interesting and meaningful challenges while contributing to our evolving MLOps ecosystem.
Responsibilities:
Take a significant part in shaping our cross-company engineering culture.
Lead and mentor a growing team of skilled engineers.
Maintain and evolve our Runtime team products, ensuring reliability and scalability.
Own the execution and delivery of the teams roadmap, ensuring high-quality and timely releases.
Work closely with product, data, infrastructure, and other engineering teams to align priorities and technical requirements.
Build and develop a full hosting system, with various types of inference, analytics, monitoring, distributions and more, that enables customers to run large-scale realtime/batch/streaming pipelines for ML workloads.
Define and enforce coding standards, methodologies, and technical direction for the team.
Proactively identify opportunities for improvement in workflows, architecture, and team processes.
Improve the efficiency, scalability, and stability of various system components.
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.
Proven hands-on experience in containerized environments, microservices and Kubernetes.
Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven).
Working knowledge of message brokers (e.g., Kafka, RabbitMQ).
Hands-on experience with Java, GO, and Python.
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP).
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.
Proven hands-on experience in containerized environments, microservices and Kubernetes.
Experienced in designing, developing, and debugging complex, distributed systems (microservices, event-driven).
Working knowledge of message brokers (e.g., Kafka, RabbitMQ).
Hands-on experience with Java, GO, and Python.
Experienced with at least one of the main cloud provider platforms (e.g. AWS, GCP).
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.
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