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At JFrog, we’re reinventing DevOps and MLOps 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 on our journey? We are looking for a skilled and highly motivated senior software engineer to join and play an integral role on the Runtime team, part of the MLOps group at JFrog ML. This team is responsible for building high-quality, enterprise-grade deployment and serving infrastructure for classic ML models and LLMs – ensuring they are efficiently deployed, monitored, and scaled to handle millions of requests across multiple cloud platforms, including GPU-powered machines. As a core member of the team, you’ll tackle meaningful and engaging challenges across a diverse technological stack. We value creative, fast learners and independent thinkers who are proactive, collaborative, and capable of driving tasks from concept to production
Job Responsibility:
Be an integral part of a highly skilled team working to build the leading MLOps platform in the industry
Maintain and evolve the Runtime team’s products, ensuring their reliability and scalability
Design and develop a complete hosting system that supports various types of inference, analytics, monitoring, distribution, and more – enabling customers to run large-scale real-time, batch, and streaming ML pipelines
Play a key role in shaping our cross-company engineering culture
Conduct high-quality design reviews with a strong emphasis on scalability, maintainability, security, and sound use of design patterns
Write maintainable, well-tested code in multiple programming languages
Continuously improve the efficiency, scalability, and stability of critical system components
Requirements:
5+ years of proven experience in software development
Strong background in designing, developing, and debugging complex distributed systems (e.g., microservices, event-driven architectures)
Hands-on experience with containerized environments, microservices, and Kubernetes
Proven experience with at least one major cloud provider (e.g., AWS, GCP, Azure)
Ability to lead technical discussions, mentor engineers, and drive architectural decisions
Nice to have:
Experience in designing, structuring, and maintaining Python SDKs
Background in building tools for Data Science or Data Engineering
Familiarity with observability or automation tools
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