OpenAIRemote · San Francisco$180k-$260kjust now
JFrogPosted 1w ago
Cloud Architect at JFrog scores 65 out of 100 on AI centrality, which makes it AI Level 3 of 4 (Works on AI) on this board. The level measures how much of the work is AI, not seniority.
AI in this role
Design next-generation cloud architecture and evaluate AI-driven cloud services and platform capabilities.
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.
- 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.
Prepare for this job
A free preview built only from this posting: what it asks for, what you could be asked in an interview, and how to adjust your resume.
Skills and AI tools this role asks for
Questions you could be asked
- What's a project where you used Aws hands-on?
- Walk me through how you've used Azure in your day-to-day work.
- What are the limits of Gcp that you've run into, and how did you work around them?
- What's a project where you used Kubernetes hands-on?
- Walk me through how you've used Python in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Aws, Azure, Gcp, Kubernetes, and Python. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them — a tool named with nothing behind it rarely survives a human read.
- Show where AI is part of your daily process, not a one-off project — this role expects it to be a running habit.
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