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.
As a Senior Software Engineer in the Platform Engineering Team, your mission will be to:
Architect & Develop Core Infrastructure: Design, develop, and maintain highly scalable, reliable, and secure platform services that underpin all engineering efforts at Teads.
Build Developer Tools: Lead the creation of powerful APIs and intuitive UI tools that streamline workflows and enhance the developer experience for hundreds of engineers.
Advance AI Infrastructure: Contribute to the development and evolution of our AI infrastructure and workflows, including intelligent agents that assist in the development process and critical MCP servers.
Full Lifecycle Ownership: Take end-to-end ownership of platform services, from initial design and development to deployment, monitoring, troubleshooting, and continuous optimization in production.
Foster Innovation: Stay at the forefront of industry trends, cloud-native technologies, and AI advancements, proposing and championing new approaches to enhance our platform's capabilities and efficiency.
Strong Programming & System Design:
7+ years of professional software development experience, with a significant focus on backend systems, infrastructure, or platform engineering.
Deep proficiency in at least one of Java, Kotlin, or TypeScript, with a solid understanding of object-oriented design, functional programming paradigms, and distributed system architectures.
A strong commitment to writing clean, maintainable, performant, and thoroughly tested code.
Familiarity with frontend concepts or frameworks (e.g., Angular, React) is a plus.
Cloud-Native & Distributed Systems Experience:
Strong understanding of microservices architecture, API design, and asynchronous communication patterns.
Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and infrastructure-as-code principles.
Experience with containerization and orchestration (e.g., Kubernetes, Docker Swarm) is highly desirable, or a strong willingness to learn and master it.
AI Infrastructure & Agent Understanding:
Experience or strong understanding of AI workflows, intelligent agents, or related frameworks/platforms (e.g., LangChain, RAG, machine learning servin
Familiarity with concepts like Multi-Agent Communication Protocols (MCPs) is a plus.
A keen interest and strong willingness to learn and contribute to AI infrastructure and agent development are essential.
Problem-Solving & Innovation:
Exceptional problem-solving abilities, capable of tackling complex, ambiguous infrastructure challenges and finding innovative, scalable solutions.
Curiosity and a proactive approach to learning new technologies and applying them to solve real-world problems.
Communication & Collaboration:
Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts clearly to both technical and non-technical audiences.
A highly collaborative mindset, eager to share knowledge and contribute positively to team dynamics.
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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