Cloud & Platform Engineering Manager

JFrog•Atlanta, GA

8h•$180,000 - $200,000

About The Position

JFrog is seeking a Cloud & Platform Engineering Manager to join its Atlanta team and lead a critical part of the global Cloud & Platform organization. The role oversees infrastructure and platforms powering JFrog’s SaaS offering for customers across industries and geographies, running on AWS, GCP, and Azure. The manager will build, scale, and lead the Atlanta Cloud & Platform Engineering team, expanding its work across cloud infrastructure, data, networking, web infrastructure, and platform services. The team operates within the global organization while owning its own projects and roadmap. The role calls for a hands-on technical leader who can foster automation, problem-solving, innovation, customer satisfaction, and reliable operation of mission-critical systems.

Requirements

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 with Infrastructure as Code tools such as Terraform or Crossplane.
Broad knowledge of managing Kubernetes services and infrastructure.
Experience with cloud infrastructure, networking, and data platforms across AWS, GCP, and Azure, including EKS/AKS/GKE, managed databases, DNS, storage, and security hardening.
A builder mindset, with 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 a team.

Nice To Haves

Experience with monitoring and observability stacks.
Experience with Disaster Recovery for production systems.

Responsibilities

Lead the team across the SaaS infrastructure lifecycle, including cloud and Kubernetes platforms, 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 environments across AWS, GCP, and Azure.
Lead cross-organizational projects, including Disaster Recovery and AI Agents Infrastructure.
Collaborate with Security, FinOps, Production Support, Product, and Software Architects.
Drive AI adoption in operations by designing and deploying AI agents to automate operational work.
Build and operate infrastructure for AI agents and tooling, including MCP servers, gateways, access, and guardrails, safely at scale.
Work with product development teams to design and ensure the quality, monitoring, security, and high availability of microservices.
Participate in product discussions, influence the roadmap, and take ownership of new projects through delivery.
Hire and grow an engineering team.
Foster ownership and accountability within the team.