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
25,000-35,000 ₪ הערכה מבוססת AI ולא שכר שהתקבל מהמעסיק
זוהי הערכת טווח שכר מבוססת AI ולא שכר שהתקבל מהמעסיק

Run:ai, now part of our company, has evolved AI infrastructure by merging GPU virtualization with Kubernetes-native capabilities. Our world class AI platform allows organizations to improve productivity and efficiency for data scientists and machine learning engineers. With deep Kubernetes expertise and a team of extraordinary individuals, we are looking for a highly skilled Senior Software Engineer to join the team and help shape the future of AI technology. The role of a Senior Software Engineer in the Run:ai group is to design and develop scalable, high-performance systems that support the next generation of AI workloads and infrastructure. You will collaborate with experts across domains, tackle complex challenges, and drive innovations that empower our users to push the limits of AI capabilities.
What youll be doing:
Designing and developing enterprise-grade systems with a strong focus on scalability, reliability, and performance.
Building and optimizing microservices-based architectures using Kubernetes and cloud-native technologies.
Collaborating closely with backend engineers, product managers, and other stakeholders to deliver impactful solutions.
Writing clean, maintainable, and testable code in Go, contributing to our CI/CD pipelines.
Conducting code and design reviews to uphold high-quality standards and mentor team members.

Requirements:
B.Sc. in Computer Science or a related field (or equivalent experience).
5+ years of experience in backend software development, including system design and architecture.
Proficiency in at least one backend programming language (Go preferred).
Strong understanding of microservices architecture, RESTful APIs, and relational databases.
Deep familiarity with Kubernetes and the cloud-native ecosystem.
Demonstrated ability to tackle complex technical challenges and deliver high-quality solutions.
Ways to stand out from the crowd:
Expertise in Kubernetes internals and advanced cloud-native technologies.
Hands-on experience with HPC, GPU virtualization, or AI/ML platforms.
Experience working in Linux environments with knowledge of networking, security, and virtualization.
Contributions to open-source projects or active participation in tech communities.
Agile approach and familiarity with standard methodologies.

This position is open to all candidates.