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.
30,000-45,000 ₪
As a Cloud Architect, you will serve as a technical focal point, driving strategic architectural decisions that shape the future of our globally distributed platform.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.
Platform & Scale Leadership: Lead the architectural efforts to modernize and significantly scale the companys infrastructure across multiple geographies and heterogeneous cloud providers.
Cross-Organizational Influence: Work with other groups in the organization to deeply understand their needs and translate them into concrete, production-ready capabilities and platform offerings.
Multi-Cloud Data Strategy: Define and champion a comprehensive, petabyte-scale multi-cloud data strategy, ensuring optimal data governance, security, and cost-efficient flow for streaming ingestion, data lakes, and advanced analytics workloads across environments.
Microservices Design & Resilience: Provide high-level architectural oversight for the multi-cloud design patterns of our microservices, focusing on cross-cloud resilience, global traffic management, data locality, and failure domain isolation.
AI Transformation Leadership: Lead the AI transformation initiatives aimed at radically enhancing the developer experience, introducing intelligent automation, and leveraging generative AI models to accelerate software delivery, testing, and operational efficiency.
Strategic Alignment: Foster cross-group alignment and build consensus among engineering leaders and business stakeholders for strategic platform projects, translating complex technical roadmap items into clear, measurable business outcomes.
Architecture Definition: Help define the technical vision, architecture, and long-term directions of the Cloud Platform group and the wider R&D organization.
Engineering Excellence: Be a champion for engineering excellence, setting high standards, mentoring engineers across the group to foster solid architectural principles, and supporting their professional growth.
Architect Forum Participation: Be a key member of the companys architect forum, participate in complex technical discussions, and facilitate effective, org-wide decision-making processes.
Requirements:
10+ years of software development and platform engineering experience, with at least 5 years in technical leadership positions within a large-scale SaaS or distributed systems environment.
Expert-level proficiency in AWS Cloud, with a proven track record of designing, building, and operating scalable, global, high-availability infrastructure.
Deep Multi-Cloud Expertise: Significant, demonstrable experience in designing and implementing systems that span at least two major cloud providers (AWS, GCP, or Azure).
Expert-level knowledge and understanding of Kubernetes internals (operators, controllers, networking, security).
Data Experience: Proven experience designing and optimizing large-scale data platforms, including streaming architectures (Kafka/Kinesis), data warehousing, and distributed file systems.
Deep understanding of CI/CD concepts and their advanced implementations (e.g., GitOps, progressive delivery, from testing to production).
A people person, optimistic, and visionary, with a can-do approach and the ability to lead complex and sensitive decision-making processes in an effective manner while creating a positive, collaborative, and pleasant atmosphere.
Proven experience mentoring and coaching high-potential engineers to develop new skills and grow professionally.
10+ years of software development and platform engineering experience, with at least 5 years in technical leadership positions within a large-scale SaaS or distributed systems environment.
Expert-level proficiency in AWS Cloud, with a proven track record of designing, building, and operating scalable, global, high-availability infrastructure.
Deep Multi-Cloud Expertise: Significant, demonstrable experience in designing and implementing systems that span at least two major cloud providers (AWS, GCP, or Azure).
Expert-level knowledge and understanding of Kubernetes internals (operators, controllers, networking, security).
Data Experience: Proven experience designing and optimizing large-scale data platforms, including streaming architectures (Kafka/Kinesis), data warehousing, and distributed file systems.
Deep understanding of CI/CD concepts and their advanced implementations (e.g., GitOps, progressive delivery, from testing to production).
A people person, optimistic, and visionary, with a can-do approach and the ability to lead complex and sensitive decision-making processes in an effective manner while creating a positive, collaborative, and pleasant atmosphere.
Proven experience mentoring and coaching high-potential engineers to develop new skills and grow professionally.
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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