Senior Software Engineer

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts is a true pioneer, constantly pushing the boundaries with original research and technological 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 on our journey?

We are looking for a curious, hands-on Senior Software Engineer to join the AI SDLC group. You will work across the entire stack, from the UI to the MCP server to the Kubernetes deployment, and help shape how AI agents act on the JFrog Platform. You will also help build JFrog's official AI plugin, with skills and hooks that bring JFrog into developers' AI-native workflows. This role suits someone who learns new technologies quickly, because this space changes constantly.

As a Senior Software Engineer at JFrog, you will…

• Own features end to end – from design, through implementation and deployment, to production support – across frontend, backend and infrastructure.
• Build and evolve our MCP server, the main surface through which AI clients and agents interact with JFrog: tools, auth, scalability, and a predictable, secure contract.
• Design the building blocks of our agentic platform, such as AI Cards and Flows. This means defining clear abstractions, schemas, and extension points so that new capabilities can be added safely and without rewrites.
• Build and maintain the JFrog official plugin, including skills and hooks, working closely with how developers actually use AI coding tools.
• Build intuitive, responsive web interfaces that bring GenAI features to life.
• Own the infrastructure around your services: containerization, Kubernetes and Helm deployments, CI/CD, observability, and reliability.
• Lead technical design sessions and write short design docs. You will take real design decisions on a growing codebase, not just implement tickets.
• Keep up with the fast-moving AI ecosystem (MCP, agent frameworks, AI-native dev tools) and bring what works back to the team.
  
  

• 5+ years of hands-on software development experience across the stack, with production systems used at scale.
• Strong backend experience, preferably Python (FastAPI or similar), with a solid grasp of API design, concurrency, and relational databases.
• Design the core building blocks of our agentic platform, such as declarative tool definitions and multi-step workflows that AI agents can run. This means defining clear abstractions, schemas, and extension points so that new capabilities can be added safely and without rewrites.
• Production experience building web UIs with a modern framework (Vue.js, React or Angular) and TypeScript.
• Hands-on experience with Docker and Kubernetes (Helm, CI/CD, deployments) and the confidence to debug production issues across layers.
• Deep knowledge of software design: design patterns, data structures, abstraction boundaries, and designing systems that stay maintainable as they grow. You can turn a loosely defined idea into a clean, extensible design with well-defined schemas and extension points.
• A disciplined approach to testing and quality.
• Proven, hands-on use of AI-native coding tools (Cursor, Claude Code, or similar) to deliver real features, and an interest in building skills, hooks, MCPs, or agentic workflows.
• Strong ownership, good communication, and a genuine love of learning new technologies.
• Experience building or consuming MCP servers, or working with the MCP spec- Advantages
• Experience with LangChain / LangGraph or other agent frameworks- Advantages
• Experience with OAuth, token scoping, or authentication and authorization for AI and service-to-service access- Advantages
• Experience building plugins, extensions, or developer tooling (Claude Code plugins, IDE extensions, CLIs)- Advantages
• Experience with Micro-Frontends, event streaming (SSE), or observability tooling- Advantages