Jellyfish's engineering team is solving the problem of messy issue tracking systems for every issue tracking system and any style of working, to help leaders set clear priorities and teams focus on what matters
Requirements
- Strong skills in Python, and passion for building production software systems
- Enough experience with frontend frameworks, such as React, to be able to pitch in from time to time to move a project forward or troubleshoot issues
- Strong skills in data modeling in relational database systems and experience with and interest in other database technologies such as columnar systems
- Experience working with Large Language Models and Amazon’s Bedrock and Sagemaker environments
- Fluency with tools such as Copilot, Cursor, Claude Code, Kiro and a track record of using them to build and ship fast
- Experience with complex data modeling
- Curiosity about building production LLM systems and AI infrastructure
Responsibilities
- Design, plan, and implement key features as part of a highly effective development team
- Rapidly deliver value for our customers by pushing features to our AWS-hosted SaaS environment daily, with automated CI/CD pipelines
- Provide technical and product expertise within your team and across the organization
- Think big about what’s possible to represent the scope of engineering work and how it’s changing
- Communicate effectively about project status and technical issues
- Participate in your team’s agile process and work to continually improve your team’s capabilities
- Provide support for production operations of the Jellyfish product
Other
- 10+ years of experience building SaaS products
- Humility, a performance-driven attitude, and a team-player approach
- Strong communication skills and desire for collaborative work
- Occasional travel may be required
- Applicants must be authorized to work for any employer in the US
