Software Engineer - FastCI

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 75% 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're looking for a passionate and innovative Software Engineer to join our FastCI team - the force behind JFrog's AI-powered CI/CD optimization platform. You'll help build a product that automatically detects CI pipeline bottlenecks, generates actionable insights, and leverages AI agents to deliver fixes. FastCI turns CI maintenance from a reactive chore into a self-healing, intelligent system. This is a rare opportunity to work at the intersection of developer tooling, observability, and applied AI, shipping technology that impacts millions of builds every day.

As a Software Engineer in JFrog, you will…

• Embrace an agile, entrepreneurial environment with the strategic advantage of selling to Fortune 500 companies
• Develop advanced system-level performance tools for optimizing critical software processes
• Design and implement intelligent engines that enhance development commands and workflows
• Architect high-performance caching strategies to maximize efficiency across development cycles
• Create seamless integrations with widely-used developer tools and platforms
• Build scalable, multi-language solutions supporting diverse technology stacks

To be a Software Engineer in JFrog FastCI, you need…

• 5+ years of overall software development experience, with at least 3-4 years specifically in Go, including advanced concurrency, performance optimization, and systems-level programming
• Strong experience with TypeScript/Node.js for building GitHub Actions, CLI tooling, and automation frameworks
• Hands-on experience integrating AI/LLM capabilities into engineering workflows - including prompt engineering, AI agent orchestration, and automated code generation pipelines
• Deep understanding of CI/CD platforms, with mandatory experience in GitHub Actions (workflow authoring, custom actions, runner internals)
• Proficiency with OpenTelemetry or equivalent distributed tracing and observability frameworks
• Experience with Docker and BuildKit internals, including multi-stage builds, layer caching strategies, and build output parsing
• Solid understanding of Linux system internals, including process management, file systems, and shell scripting (bash)
• Strong background in building developer tools that integrate seamlessly into existing workflows without disrupting them 

Advantage Skills:

• Experience with build system optimization across multiple ecosystems (Go, Gradle/Maven, npm/yarn, pip/uv, Cargo) 
• Familiarity with bash parsing libraries or shell interpreters (e.g., mvdan/sh)
• Experience with agentic AI systems — autonomous agents that plan, execute, and iterate on code changes with minimal human intervention
• Background in pattern detection, anti-pattern recognition, or static/dynamic analysis tools
• Experience with Kubernetes (K8s) and cloud-native CI/CD environments
• Familiarity with major cloud platforms (AWS, GCP, Azure)
• Experience with platforms like Jenkins or GitLab CI
• Knowledge of performance profiling techniques and build graph analysis
• Experience with JFrog Artifactory or similar binary repository and artifact management platforms
• Understanding of software dependency graphs and build orchestration
• Familiarity with secret management and security - conscious development practices