Teams at JFrog

Lead quality efforts across the software lifecycle, developing automated testing tools and infrastructure for high-scale systems. Design and execute functional, regression, integration, and end-to-end tests; investigate and triage defects; perform root-cause analysis; analyze logs and test results; and communicate findings. Collaborate with developers and support teams, own testing strategies for complex projects, and ensure quality from design through release.

Owns end-to-end development of generative AI and agentic platform features across frontend, backend, and infrastructure. Responsibilities include building MCP servers, AI plugins, agent workflows, web interfaces, Kubernetes deployments, CI/CD, observability, and production support. The role requires technical design leadership, scalable API development, modern frontend expertise, strong software architecture, testing discipline, and hands-on experience with AI-native coding tools and agent frameworks.

Build and operate AI-enabled developer tooling, agentic workflows, MCP servers, and LLM integrations. Partner with engineering teams to drive adoption, establish shared practices, evaluate emerging AI technologies, and deliver self-service, API-first platform capabilities. Collaborate across Product Management, R&D, and DevOps while measuring adoption and outcomes across the engineering organization.