Level

JFrog

Cloud & Platform Engineering Manager

JFrog is hiring a Cloud & Platform Engineering Manager in Atlanta, United States. It pays $180k-$200k a year and Level rates it ; you can apply on JFrog.

Level's read on this job

  • On Level's scale, this role is Works on AI ●●●○: the daily work is on AI products, without building the model.
  • Tools and skills the posting cites include Kubernetes, AWS and Google Cloud.
  • Level classifies it as a lead role.
  • Level lists 68 other open roles at JFrog.
  • The role was posted within the past two weeks.

AI in this role

Lead the Cloud & Platform Engineering team to build SaaS infrastructure, managing multi-cloud environments and developing AI agent platforms.

kubernetesawsgcpazuregitops
ai-agentscloud-infrastructureplatform-engineeringautomationteam-management

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate -- and we want you along for the ride. This is a special place with a unique combination of brilliance, spirit and just all-around great people. 

Here, if you’re willing to do more, your career can take off. And since software plays a central role in everyone’s lives, you’ll be part of an important mission. 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?

JFrog is seeking a Cloud & Platform Engineering Manager to join our Atlanta team. In this role, you will lead a critical part of our global Cloud & Platform organization, overseeing the infrastructure and platforms that power our SaaS offering and support thousands of organizations across diverse industries and geographies, running on all major cloud providers, including AWS, GCP, and Azure.

You will build, scale, and lead our Cloud & Platform Engineering team in Atlanta, expanding its footprint into critical areas including Cloud Infrastructure, Data, Networking, Web Infrastructure, and Platform Services. The team works as an integral part of the global Cloud & Platform organization while owning its own projects and roadmap.

This role requires someone who thrives in a fast-paced, technology-driven environment. You should have a strong passion for automation, problem-solving, and innovation, with a clear focus on delivering exceptional customer satisfaction and maintaining the reliability and uptime of mission-critical systems.

As a Cloud & Platform Engineering Manager at JFrog, you will…

  • Lead the team across the SaaS infrastructure lifecycle: cloud and Kubernetes platform, networking and web infrastructure, data, GitOps and automation, reliability, security and compliance, and cost efficiency.
  • Develop a platform to deploy all JFrog services in highly available Kubernetes (K8s) environments across AWS, GCP, and Azure.
  • Lead cross-organizational projects like Disaster Recovery, AI Agents Infrastructure, and more.
  • Collaborate closely with other teams such as Security, FinOps, Production Support, Product, and Software Architects.
  • Drive AI adoption across our operations by designing and deploying AI agents that automate operational work.
  • Build and operate the infrastructure that runs AI agents and tooling (e.g., MCP servers, gateways, access and guardrails) safely at scale.
  • Work closely with product development teams to design and ensure the quality, monitoring, security, and high availability of different microservices.
  • Participate in product discussions, influence the roadmap, and take ownership and responsibility for new projects to make them happen.



To be a Cloud & Platform Engineering Manager at JFrog, you need…

  • 5-7+ years as a hands-on technical leader in cloud and platform engineering within a large-scale SaaS environment.
  • 3-5+ years managing engineers, including hiring and growing a team.
  • Proven experience in IaC tools such as Terraform or Crossplane.
  • Broad knowledge of managing Kubernetes services & infrastructure.
  • Experience with cloud infrastructure, networking, and data platforms across AWS, GCP, and Azure (EKS/AKS/GKE, managed databases, DNS, storage), and security hardening.
  • Builder mindset: a track record of designing and shipping platforms, tooling, and automation, and using AI tools and agents to build faster.
  • Ability to foster ownership and accountability in the team.
  • Advantage: experience with monitoring and observability stacks.
  • Advantage: experience with Disaster Recovery for production systems.

WHAT JFROG CAN OFFER…

  • At JFrog, base salary is only one component of our compensation package.
  • This position has a base salary range between $180,000 to $200,000. Base salary will be based on your skills, qualifications, experience and location.
  • This position also includes an equity package of restricted stock units (RSU).  In addition, JFrog employees are eligible to participate in our Employee Stock Purchase Plan.
  • JFrog provides employees comprehensive benefits including medical, dental, vision, retirement, wellness and much more!
  • Additionally, this role may be eligible for discretionary bonuses or commission payments.

JFrog is an Equal Employment Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, creed, religion, sex, sexual orientation, national origin or nationality, ancestry, age, disability, gender identity or expression, marital status or any other category protected by law.

How we rate this

Cloud & Platform Engineering Manager at JFrog rates 65 out of 100 for how much of the daily work is AI. That makes it Works on AI (AI Level 3 of 4). The level is about AI in the job, not seniority.

Classification

Works on AI. The daily work is on AI products, without building the model.

  1. ●●●● Builds AI80 to 100
  2. ●●●○ Works on AI60 to 79
  3. ●●○○ Uses AI40 to 59
  4. ●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

AI agentsCloud InfrastructurePlatform EngineeringAutomationTeam ManagementKubernetesAWSGoogle Cloud

Questions you could be asked

  1. How do you decide when an AI agent can act on its own versus asking for approval first?
  2. Tell me about a project where cloud infrastructure was part of your work. What did you do?
  3. Tell me about a project where platform engineering was part of your work. What did you do?
  4. Tell me about a project where automation was part of your work. What did you do?
  5. Tell me about a project where team management was part of your work. What did you do?

Adapt your resume

  • List these exact terms on your resume: AI agents, Cloud Infrastructure, Platform Engineering, Automation, and Team Management. 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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