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JFrog

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Cloud Architect

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Summary

As a Cloud Architect at JFrog, you will design and build next-generation cloud products, focusing on AI-driven solutions, security, and scalability. You will lead technical specifications, develop POCs, and provide architectural oversight for large-scale distributed systems using Kubernetes and major cloud platforms like AWS, Azure, or GCP, while coding in Python or Go.

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and security is a core part of our mission. Our team of industry-leading software security experts are true pioneers, constantly pushing the boundaries with original research and technology innovation. JFrog is a special place with a unique combination of brilliance, spirit and just all-around great people. Thousands of customers, including the majority of the Fortune 100, trust JFrog to manage, accelerate, and secure their software delivery from code to production -- a concept we call “liquid software.” Wouldn't it be amazing if you could join us in our journey?

We are looking for a visionary, hands-on, AI-driven Architect to join the Platform Engineering Architects group at JFrog. This role involves providing technical leadership to help Engineering design, build, and shape our next-generation cloud products for managing modern SaaS solutions.

As a Cloud Architect at JFrog you will…
  • Define architectural approaches and detailed technical engineering specifications.
  • Develop architectural POCs, research technical innovations, and evaluate new technologies for AI solutions, Security, Scalability, etc.
  • Provide architectural oversight and guidance to Engineering teams, negotiate trade-offs, and drive issues to closure.
  • Work with Product Management to understand business requirements and trends.
To be a Cloud Architect at JFrog you need…
  • 5+ years of hands-on experience and deep understanding of at least one major public cloud platform (AWS, Azure, or GCP).
  • Experience with AI-driven cloud services and emerging AI platform capabilities is a strong advantage.
  • 5+ years of experience with cloud architecture or DevOps/SRE and design process, working on large-scale, complex, and high-performance distributed systems focused on operational excellence with container orchestration (Kubernetes) and cloud native solutions.
  • 5+ years of hands-on programming experience in languages such as Python, Go, etc.
  • 2+ years of hands-on technical leadership in a Principal Engineer or Technical Lead role.
  • 2+ years of hands-on experience in B2B systems and design of external APIs.
  • Excellent problem-solving skills, strong sense of ownership, and track record of quality work.
  • Ability to work both independently and as an equal peer when working with Engineering.

Skills

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