R&D Team Lead, Data Engineering- JFrog Security

At JFrog, we’re reinventing DevSecOps to help the world’s greatest companies innovate. Our team of industry-leading software security experts are true pioneers, 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 an experienced Team Lead to lead a team of 5 Data Engineers responsible for handling large-scale data from diverse internal sources. This role combines technical leadership with hands-on architectural decision-making in a highly complex and data-intensive domain, which is the critical path for JFrog business. The ideal candidate will guide the team through challenges related to shipping data fast, accurate in streams and batches, aggregating and maintaining internal database sources alongside scale, reliability, and performance, while ensuring high engineering standards and effective collaboration.

As a Data Engineering Team Lead–, you will...

• Lead, mentor, and support a team of 5 engineers, including task prioritization, technical guidance, and career development
• Own the technical direction and architecture of systems responsible for a large-scale data pipeline in the business’ critical path.
• Design and oversee solutions that handle complex and constantly changing internet sources
• Ensure systems are scalable, resilient, and efficient when dealing with vast volumes of data
• Collaborate with adjacent teams (e.g., devops-data, infrastructure, security, product) to align technical solutions with business needs
• Drive best practices in code quality, observability, documentation, and operational excellence
• Participate in hands-on development and technical reviews as needed
  
  

• Proven experience leading or mentoring engineers on a technical team
• Strong background in working with databases (relational and/or NoSQL), including schema design and performance considerations
• Solid understanding of distributed systems and data-intensive applications
• Strong problem-solving skills and ability to operate in a complex, evolving domain
• Experience designing or maintaining data pipelines (batch and/or streaming)
• Familiarity with CDC strategies, ETL mechanisms, and large-scale multi-job orchestrator systems
• Understanding of software package ecosystems and protocols (e.g., package registries, dependency metadata, versioning concepts)
• Experience working with internet-scale data sources or ingestion platforms
• Familiarity and experience with Python