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JFrog Logo JFrog · IT - Software Development

Engineering Manager (Data Science & AI)

India, Bangalore · Job Posted February 01, 2026
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Job Description

At JFrog, we’re reinventing DevOps to help the world’s greatest companies innovate. 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.”

Job Responsibility

  • Lead a team of strong developers, working on large-scale, complex and cutting-edge systems
  • manage the development and delivery of complex features from design to production according to product requirements
  • ensure that risks and issues are identified and managed closely while driving all stakeholders to deliver on time and to the required quality standards
  • build a strong development team that can work independently and at the same time will collaborate with other international R&D teams
  • coordinate team activities with product managements, support, and other interfaces

Requirements

  • 12+ years of overall industry experience
  • 3+ years in building and managing highly skilled development teams
  • ability to lead, coach and influence teams
  • good understanding of Data science & usage of AI and AI agents
  • deep understanding in Java, Microservices & Multithreading
  • experience in developing scalable, concurrent, low-latency, fault tolerant systems
  • strong track record of leading and managing the delivery of software development products
  • previous experience in working with other international R&D, product management and support teams
  • proven knowledge in both architecture and implementation-level software design of high-scale distributed systems
  • ability to manage, track and identify risks, bottlenecks and challenges ahead of time
  • willingness to work in a fast paced, and driven team in a context-switching environment

Nice to have

  • Golang
  • SQL database
  • Elastic search
  • K8S
  • Docker
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